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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">ijbf</journal-id>
      <journal-title-group>
        <journal-title>International Journal of Banking and Finance</journal-title>
        <abbrev-journal-title abbrev-type="publisher">IJBF</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="ppub">2811-3799</issn>
      <issn pub-type="epub">2590-423X</issn>
      <publisher><publisher-name>UUM PRESS</publisher-name></publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.32890/ijbf2026.21.1.1</article-id>
      <article-id pub-id-type="publisher-id">25227</article-id>
      <article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group></article-categories>
      <title-group>
        <article-title>COVID-19 Pandemic Power Play in Bursa Malaysia: How Glove-Related Announcements Shaped Stock Market Investors’ Reaction</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Amil</surname>
            <given-names>Aliah</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"/>
        </contrib>
        <contrib contrib-type="author" corresp="yes">
          <name>
            <surname>Md Zabri</surname>
            <given-names>Mohd Zaidi</given-names>
          </name>
          <xref ref-type="aff" rid="aff2"/>
          <email>zaidizabri@gmail.com</email>
        </contrib>
      </contrib-group>
      <aff id="aff1"><institution>Graduate School of Business, Faculty of Business and Economics, Universiti Malaya</institution>, <country country="MY">Malaysia</country></aff>
      <aff id="aff2"><institution>Centre of Excellence for Research and Innovation in Islamic Economics (i-RISE), ISRA Institute, INCEIF University</institution>, <country country="MY">Malaysia</country></aff>
      <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-01-31">
        <day>31</day><month>01</month><year>2026</year>
      </pub-date>
      <volume>21</volume>
      <issue>1</issue>
      <fpage>1</fpage>
      <lpage>34</lpage>
      <permissions>
        <copyright-statement>Copyright &#169; 2026 UUM PRESS</copyright-statement>
        <copyright-year>2026</copyright-year>
        <license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0">
          <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License.</license-p>
        </license>
      </permissions>
      <abstract>
        <p>This study investigates how the Malaysian stock market reacted to glove-related corporate announcements during the COVID-19 pandemic. Focusing on the period between March and September 2020, we employ the event study methodology to analyze 69 announcements from both established glove manufacturers and new entrants listed on Bursa Malaysia. Our findings reveal significant abnormal returns following initial announcements, particularly those signaling diversification into glove manufacturing by nontraditional firms. These early disclosures were perceived as material by investors, while subsequent updates drew diminishing reactions. By examining this sector-specific response during a global crisis, the study contributes original insights into investor behavior, market efficiency, and the informational value of corporate disclosures in emerging markets. Future research could further explore trading volatility and firm-specific determinants influencing stock market responses.</p>
      </abstract>
      <kwd-group kwd-group-type="author">
        <kwd>Company announcements</kwd>
        <kwd>COVID-19 pandemic</kwd>
        <kwd>glove business</kwd>
        <kwd>stock market reactions</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec1">
      <title>INTRODUCTION</title>
      <p>The COVID-19 pandemic, while posing significant global challenges, paradoxically led to a remarkable surge in stock market activity in Bursa Malaysia during 2020. Despite the prevailing crisis, stock trading experienced a dramatic rise, with the average daily value (ADV) of securities trades escalating from RM1.9 billion in 2019 to RM4.2 billion in 2020, marking a staggering 118.1% year-on-year increase (Bursa Malaysia, 2021). This surge in trading can be attributed, in no small part, to the substantial rise in participation from retail investors, accounting for more than a third (37.7%) of the total ADV in 2020. Governments worldwide faced the unprecedented challenge of balancing health concerns with economic stability during the pandemic (Securities Commission Malaysia, 2021). Malaysia, like many nations, implemented stringent measures, including multiple Movement Control Orders (MCOs) starting from March 18, 2020, which significantly restricted economic activities, confining individuals to their homes. Consequently, the shift to remote work and the digitization of the capital market, coupled with increased leisure time, propelled a surge in retail individuals engaging in stock trading, particularly those aged between 26 and 45 years (Securities Commission Malaysia, 2021). Notably, Malaysia emerged as a leading producer of gloves, contributing over 60% of global rubber glove production in 2020, driven by its strong natural rubber industry (Hutchinson &amp; Bhattacharya, 2021). The COVID-19 pandemic significantly escalated global demand for medical gloves—critical for healthcare workers—resulting in a surge to an estimated 360 billion pieces, well above the projected 300 billion for that year. This unprecedented demand spike led to a sharp rise in the stock performance of glove manufacturing companies listed on Bursa Malaysia. Healthcare stocks experienced substantial growth, with Top Glove, Hartalega, Supermax, and IHH Healthcare among the most prominent contributors to the increase in market capitalization. The stellar performance of these companies, buoyed by record-breaking profits, drove aggressive expansion plans and attracted heightened investor attention (Lee, 2021). Intriguingly, companies not originally involved in glove production sought to capitalize on this trend, announcing diversification into glove manufacturing (Hutchinson &amp; Bhattacharya, 2021). These firms came from a variety of unrelated sectors, including industrial automation (e.g., AT Systematization Berhad), hospitality and tourism (e.g., Iconic Worldwide Berhad), IT services (e.g., MQ Technology Berhad and Zen Tech International Berhad), and even condom manufacturing (e.g., Karex Berhad). Their entry into the glove industry typically involved acquisitions, joint ventures, or the repurposing of existing facilities for glove production. Despite lacking prior expertise in the healthcare or rubber industries, these announcements often triggered sharp spikes in share prices and trading volumes, particularly among penny stocks, reflecting speculative investor sentiment and the perception of highgrowth potential during the pandemic period. Given these unprecedented market dynamics, this study aims to dissect the stock market’s response to glove-related announcements. Specifically, it seeks to explore the relationship between Bursa Malaysiareleased announcements by existing and new glove manufacturers and the subsequent impact on stock returns. Furthermore, it aims to assess the market reaction to diverse types of glove-related announcements, investigating whether the timing and nature of these announcements significantly influenced market behavior. This exploration is essential, considering Bursa Malaysia’s emphasis on companies disclosing all material information to facilitate informed investment decisions (Bursa</p>
      <p>Malaysia, 2023). This study aims to address this gap by delving into the impact of specific company disclosures related to glove business expansions in Malaysia. By focusing on this niche, the study offers novel insights into investor behavior and market dynamics in the face of an unprecedented global crisis. To achieve this, the paper is structured as follows: a literature review to contextualize the study within existing research, a methodology section detailing the event study approach adopted, a results and discussion section presenting key findings and their implications, and a conclusion that summarizes insights and outlines directions for future research.</p>
    </sec>
    <sec id="sec2">
      <title>LITERATURE REVIEW</title>
      <p>Crises, by their very nature, manifest in diverse forms and scales, ranging from localized conflicts to global pandemics. The onset of the COVID-19 pandemic is a stark reminder of how swiftly a crisis can escalate and permeate every facet of life. Initially detected as a localized health issue in Wuhan, China, it rapidly escalated into a global health emergency, disrupting the very foundations of modern society. The World Health Organization’s declaration of COVID-19 as a pandemic on March 11, 2020 (World Health Organization, 2020), marked a significant turning point, leading to worldwide travel restrictions, economic disturbances, and significant shifts in social behavior. In Malaysia, the government’s response to the rising tide of COVID-19 cases was swift and decisive. The implementation of the MCO on March 18, 2020 was a critical step in curtailing the spread of the virus. This move, while essential for public health, had far-reaching implications for the economy. Businesses, especially in the nonessential sector, faced closures or had to rapidly adapt to remote working models. This economic disruption led to an intriguing development in the financial behavior of the populace, with a notable increase in individual trading accounts, indicating a growing interest in the stock market as a potential source of income during uncertain times (Securities Commission Malaysia, 2021). The Malaysian capital market, traditionally a playground dominated by institutional investors, experienced a significant shift during the pandemic. Data from Bursa Malaysia reveals that in 2020, while institutional investors still accounted for most of the equity trading, there was a marked increase in retail investor participation. This trend not only represents a change in market dynamics but also highlights the resilience of the Malaysian market in the face of global economic uncertainty (Bursa Malaysia, 2021). The surge in retail investor activity, particularly in healthcare-related stocks, is a phenomenon worth noting. Companies in the sectors of glove manufacturing, pharmaceuticals, and healthcare services became the focal points of investor attention. This interest was driven by various factors, including the companies’ pivotal role in the pandemic response and the continuous updates on vaccine development and case counts. The influence of media, analysts’ recommendations, and the burgeoning role of social media in shaping investor perceptions cannot be understated in this context (Patti Domm, 2020). What Factors Affect Investment Decisions? Investment decisions, particularly in times of crisis, are influenced by a confluence of factors. For retail investors, these factors range from fundamental analysis of a company’s performance to more subjective elements such as media influence and social discourse. The role of socioeconomic factors, such as age and financial literacy, in shaping investment behavior has been widely documented, with recent studies underscoring their significance in investment confidence and decision-making processes (Cupák et al., 2022; Suresh, 2024). Behavioral finance offers a unique lens to understand the irrationalities and biases that often underpin investment decisions. The pandemic era has been particularly fertile ground for observing phenomena like the bandwagon effect, where investors follow market trends without thorough analysis, and hyperbolic discounting, where immediate rewards are valued over long-term gains. These biases, coupled with cognitive distortions like the Dunning–Kruger effect, where investors overestimate their market knowledge, have significant implications for market dynamics (Han &amp; Dunning, 2024; Kruger &amp; Dunning, 1999). Materiality of Information In the investment world, information is king. The dichotomy of direct and indirect information plays a crucial role in how investors perceive and react to market conditions. Direct information includes specific details about a company’s financial health and strategic decisions, whereas indirect information encompasses broader economic indicators and policy changes. The concept of materiality, which focuses on information that can significantly influence stock prices, is central to understanding investor reactions and market movements (Beyer et al., 2010; Blankespoor et al., 2020). Market Efficiency and Stock Price Reaction during the COVID-19 Pandemic The Efficient Market Hypothesis (EMH) posits that market prices reflect all available information. However, the unique circumstances of the COVID-19 pandemic provide a testing ground for this theory. Utilizing event study methodologies, this study aims to scrutinize stock returns in the wake of specific company announcements, particularly those related to the glove manufacturing sector. This approach is crucial in assessing the extent to which market prices during the pandemic have been efficient in reflecting available information (Fama, 1970). Despite a wealth of research on COVID-19’s impact on global financial markets (e.g., see Bahaludin et al., 2022; Chow &amp; Tan, 2023; Keh &amp; Tan, 2021; Zuhud et al., 2022), there remains a notable gap in studies focusing on specific sectors and events within the context of emerging markets like Malaysia. The existing literature often gravitates toward broader events or concentrates on developed economies.</p>
    </sec>
    <sec id="sec3">
      <title>METHODOLOGY</title>
      <p>This study is carried out to understand the relationship between a unique event that is the glove-related announcements with the stock market. The methodology adopted in this study follows Martins and Cró (2022) and Zhong et al. (2024), which uses the event study methodology.</p>
      <sec id="sec3-1">
        <title>Scope of Study</title>
        <p>While there are many glove companies globally, Malaysia glove companies contributed to about twothirds of the global glove production (Chester Tay, 2022). Hence, it is relevant to focus on Malaysia glove companies. This study is to understand how the stock market reacted to the company announcements. As such, the sample data will be on the glove companies listed on Bursa Malaysia stock exchange. Sources of Data The research uses secondary data. The stock return for the identified glove stocks is downloaded from the Bloomberg® terminal. In addition, the company announcements were extracted from the Bursa Malaysia’s website. The stocks were initially identified through news reports such as The Star and The Edge Markets Malaysia. From these news reports, a total of 22 Bursa Malaysia listed companies were identified. Sampling There were 15 companies that had no prior business in glove manufacturing that announced plans to venture into the glove industry (herein referred as “non-glove companies”) while the remaining 7 companies that were already in the glove industry (herein referred as “glove companies”) were observed to have announced expansion plans to increase production of gloves or start producing medical-grade gloves. This information is sourced from several news articles (The Edge Market, 2020; The Star, 2020). Subsequently, company announcements related to the information on venturing and expansion of glove business for the years 2020 and 2021 released by these companies were extracted from Bursa Malaysia website. Announcements that were released on the same day as financial results were not included in the sample as the stock return of the companies may also be attributed to the financial results than solely to the announcements of glove business. Originally, the sample was only to include the initial gloverelated announcements. However, such inclusion criteria may understate the importance of other announcements such as status updates on the development of the glove business expansion and diversification exercises. This is because investors may find this information as material for their decision-making. Hence, a total of 367 glove-related announcements were identified by using the content analysis method (Bengtsson, 2016), where the content of the announcements was manually analyzed. Data Analysis The event study methodology is used as one of the most commonly used methods to study stock market reaction following an identified event developed by Eugena Fama (1970). The calculations for this study are aligned with the methodology used by Martins and Cró (2022) in their examination of the stock market reaction to COVID-19-related events within the airline industry. Specifically, they calculated the cumulative average abnormal return (CAAR) within the defined event window period. The primary reason for adopting this method is that similar to Martins and Cró’s study, the dates of company announcements vary, necessitating an approach that accommodates different event dates across companies.</p>
        <p>An initial run on the statistical significance of the cumulative abnormal return (CAR) surrounding all the announcements identified in the years 2020 and 2021 were carried out using Microsoft® Excel. The computation of t-statistics (t-test) and p value used the Microsoft® Excel formula. The statistical significance test is at 95% confidence level. The test run discovered that the relationship of most of the announcements in late 2020 and 2021 was not significant to the stock return movement. This could possibly be because investors were already informed of these companies’ plans, and the prices have already reflected all the available information. Another possible reason is because, during this period, the medical glove industry was in an oversupply state. This oversupply state can be attributed to factors such as increased production rate by the existing glove manufacturers, higher competition from new entrants, and the wide-availability of COVID-19 vaccine. Therefore, investors, especially toward the later part of the pandemic, were expecting that the COVID-19 outbreak would be at a more manageable condition than during the beginning of the pandemic. The study then opted to narrow the period to during the height of stock market trading and the beginning of the pandemic when the demand for medical gloves surged due to the intensive effort of managing the high cases of COVID-19. The period chosen is now shorter, beginning from the start of the first MCO until 6 months after, which is March 18, 2020 to September 17, 2020. The MCO was chosen because the business of the companies on Bursa Malaysia stock exchange is usually directly affected by domestic factors. On top of that, with the beginning of the MCO, Malaysians started to adopt “new norms,” that is, a new set of rules and lifestyle that includes rules for businesses to operate. The research sample size has now been reduced to 69 announcements from 11 non-glove companies and 6 glove companies. The list of the companies for this study is in Tables 1 and 2.</p>
        <table-wrap id="tbl1">
          <label>Table 1</label>
          <caption><title>Principal Activities (Prior to Venture into Glove Business) and Number of Announcements</title></caption>
          <table>
            <thead>
              <tr>
                <th></th>
                <th>Glove/Non-</th>
                <th></th>
                <th>Number of</th>
              </tr>
              <tr>
                <th>Company</th>
                <th></th>
                <th>Principal Activities</th>
                <th></th>
              </tr>
              <tr>
                <th></th>
                <th>glove</th>
                <th></th>
                <th>Announcement(s)</th>
              </tr>
              <tr>
                <th></th>
                <th colspan="2">Designs and manufactures industrial automation systems</th>
                <th></th>
              </tr>
              <tr>
                <th>AT Systematization</th>
                <th colspan="3"></th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td></td>
                <td>Non-glove</td>
                <td>and machinery and fabricates industrial and engineering</td>
                <td>12</td>
              </tr>
              <tr>
                <td>Berhad</td>
                <td></td>
                <td>parts Develops computer software, offers information</td>
                <td></td>
              </tr>
              <tr>
                <td>Green Ocean</td>
                <td>Non-glove</td>
                <td>management and data storage services, produces cooking</td>
                <td>3</td>
              </tr>
              <tr>
                <td>Corporation Berhad</td>
                <td></td>
                <td>oil, and researches and develops palm oil enzymes, conjugated linoleic acid, and direct fed microbials</td>
                <td></td>
              </tr>
              <tr>
                <td>Hong Seng</td>
                <td>Non-glove</td>
                <td>Becomes supply chain management specialist and a</td>
                <td>3</td>
              </tr>
              <tr>
                <td>Consolidated Berhad</td>
                <td></td>
                <td>financial services provider of moneylending facilities</td>
                <td></td>
              </tr>
              <tr>
                <td>Iconic Worldwide</td>
                <td>Non-glove</td>
                <td>Provides hospitality services, inbound and outbound tours,</td>
                <td>1</td>
              </tr>
              <tr>
                <td>Berhad</td>
                <td></td>
                <td>ticketing services as well as tourism-related retail outlets</td>
                <td></td>
              </tr>
              <tr>
                <td>Joe Holdings Berhad</td>
                <td>Non-glove</td>
                <td>Manufactures automotive batteries</td>
                <td>2</td>
              </tr>
              <tr>
                <td>Karex Berhad</td>
                <td>Non-glove</td>
                <td>Manufactures condoms</td>
                <td>1</td>
              </tr>
              <tr>
                <td>MQ Technology</td>
                <td>Non-glove</td>
                <td>Manufactures molds, tools/ tooling, dies, jigs and fixtures</td>
                <td>4</td>
              </tr>
              <tr>
                <td>Berhad</td>
                <td></td>
                <td>and car spare parts segment</td>
                <td></td>
              </tr>
              <tr>
                <td>One Glove Berhad</td>
                <td>Non-glove</td>
                <td>Operates commercial bus</td>
                <td>2</td>
              </tr>
              <tr>
                <td>Permaju Industries</td>
                <td>Non-glove</td>
                <td>Performs sales and distribution of automobile vehicles</td>
                <td>2</td>
              </tr>
              <tr>
                <td>Berhad</td>
                <td></td>
                <td></td>
                <td></td>
              </tr>
              <tr>
                <td>Vizione Holdings</td>
                <td>Non-glove</td>
                <td>Offers property development, construction, and investment</td>
                <td>2</td>
              </tr>
              <tr>
                <td>Berhad</td>
                <td></td>
                <td>services Provides software development, system integration, and</td>
                <td></td>
              </tr>
              <tr>
                <td>Zen Tech International</td>
                <td>Non-glove</td>
                <td>information technology management consultancy and other</td>
                <td>2</td>
              </tr>
              <tr>
                <td>Berhad</td>
                <td>Glove/Non-</td>
                <td>related professional services</td>
                <td>(continued) Number of</td>
              </tr>
              <tr>
                <td>Company</td>
                <td>glove</td>
                <td>Principal Activities</td>
                <td>Announcement(s)</td>
              </tr>
              <tr>
                <td>Careplus Group</td>
                <td>Glove</td>
                <td>Manufactures latex, nitrile, and surgical gloves</td>
                <td>16</td>
              </tr>
              <tr>
                <td>Berhad</td>
                <td></td>
                <td></td>
                <td></td>
              </tr>
              <tr>
                <td>Hartalega Holdings</td>
                <td>Glove</td>
                <td>Manufactures synthetic rubber medical gloves</td>
                <td>5</td>
              </tr>
              <tr>
                <td>Berhad</td>
                <td></td>
                <td></td>
                <td></td>
              </tr>
              <tr>
                <td>Hextar Healthcare</td>
                <td>Glove</td>
                <td>Manufactures industrial and household rubber gloves</td>
                <td>6</td>
              </tr>
              <tr>
                <td>Berhad</td>
                <td></td>
                <td>Engages in the design, fabrication, installation, testing, and</td>
                <td></td>
              </tr>
              <tr>
                <td>HLT Global Berhad</td>
                <td>Glove</td>
                <td>commissioning of glove-dipping lines</td>
                <td>3</td>
              </tr>
              <tr>
                <td>Kossan Rubber</td>
                <td>Glove</td>
                <td>Manufactures latex and nitrile gloves</td>
                <td>1</td>
              </tr>
              <tr>
                <td>Industries Berhad</td>
                <td></td>
                <td></td>
                <td></td>
              </tr>
              <tr>
                <td>Supermax Corporation</td>
                <td>Glove</td>
                <td>Manufactures latex gloves</td>
                <td>4</td>
              </tr>
              <tr>
                <td>Berhad</td>
                <td></td>
                <td></td>
                <td></td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p>Provides hospitality services, inbound and outbound tours, ticketing services as well as tourism-related retail outlets Manufactures automotive batteries Manufactures condoms Manufactures molds, tools/ tooling, dies, jigs and fixtures and car spare parts segment Operates commercial bus</p>
        <p>Non-glove</p>
        <p>Performs sales and distribution of automobile vehicles</p>
        <p>AT Systematization Berhad</p>
        <p>Non-glove</p>
        <p>Green Ocean Corporation Berhad</p>
        <p>Non-glove</p>
        <p>Hong Seng Consolidated Berhad Iconic Worldwide Berhad Joe Holdings Berhad Karex Berhad MQ Technology Berhad One Glove Berhad Permaju Industries Berhad Vizione Holdings Berhad Zen Tech International Berhad</p>
      </sec>
      <sec id="sec3-2">
        <title>Principal Activities</title>
        <p>Non-glove Non-glove Non-glove Non-glove Non-glove</p>
        <p>Non-glove Non-glove</p>
        <p>Offers property development, construction, and investment services Provides software development, system integration, and information technology management consultancy and other related professional services</p>
        <p>Number of Announcement(s)</p>
        <p>(continued)</p>
        <p>Company</p>
        <p>Glove/Nonglove</p>
        <p>Principal Activities</p>
        <p>Number of Announcement(s)</p>
      </sec>
      <sec id="sec3-3">
        <title>Glove</title>
      </sec>
      <sec id="sec3-4">
        <title>Manufactures latex, nitrile, and surgical gloves</title>
      </sec>
      <sec id="sec3-5">
        <title>Glove</title>
      </sec>
      <sec id="sec3-6">
        <title>Manufactures synthetic rubber medical gloves</title>
      </sec>
      <sec id="sec3-7">
        <title>Glove</title>
      </sec>
      <sec id="sec3-8">
        <title>Manufactures industrial and household rubber gloves</title>
      </sec>
      <sec id="sec3-9">
        <title>Glove</title>
        <p>Engages in the design, fabrication, installation, testing, and commissioning of glove-dipping lines</p>
        <p>Glove</p>
        <p>Manufactures latex and nitrile gloves</p>
        <p>Glove</p>
        <p>Manufactures latex gloves</p>
        <p>Careplus Group Berhad Hartalega Holdings Berhad Hextar Healthcare Berhad HLT Global Berhad Kossan Rubber Industries Berhad Supermax Corporation Berhad</p>
        <p>Moreover, what was noticeable from the non-glove companies are that all of them are penny stocks counters. Penny stocks is a term often used to label companies with share prices that are trading below RM1.00. These counters are known to have volatile movements, and one of the reasons is because the price to trade these stocks are cheaper than others. Interestingly, 75% of the trades by retail investors in August 2020 was concentrated in companies under the ACE Market and Fledgling Index (Securities Commission Malaysia, 2021) that are companies with relatively lower price. From the list mentioned earlier, three of the glove companies are a part of KLCI components. It can be suggested that being listed on the KLCI index would entail the companies’ higher visibility among investors. The announcements are also categorized according to their type (glove and non-glove companies). The details are available in Tables 2 and 3.</p>
        <table-wrap id="tbl2">
          <label>Table 2</label>
          <caption><title>Time and Type of Announcements by Non-Glove Companies</title></caption>
          <table>
            <thead>
              <tr>
                <th>Company</th>
                <th>Date of Announcement</th>
                <th>Type of Announcement</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>June 10, 2020</td>
                <td>Acquisition of new subsidiary</td>
              </tr>
              <tr>
                <td>June 15, 2020</td>
                <td>Acquisition of new subsidiary</td>
              </tr>
              <tr>
                <td>June 25, 2020</td>
                <td>Acquisition of new subsidiary</td>
              </tr>
              <tr>
                <td>July 1, 2020</td>
                <td>Acquisition of new subsidiary</td>
              </tr>
              <tr>
                <td>July 30, 2020</td>
                <td>Acquisition of new subsidiary</td>
              </tr>
              <tr>
                <td>August 10, 2020</td>
                <td>Diversification and fund raising</td>
              </tr>
              <tr>
                <td>AT Systematization Berhad</td>
                <td></td>
              </tr>
              <tr>
                <td>August 11, 2020</td>
                <td>Diversification and fund raising</td>
              </tr>
              <tr>
                <td>August 25, 2020</td>
                <td>Diversification and fund raising</td>
              </tr>
              <tr>
                <td>August 27, 2020</td>
                <td>Acquisition of land</td>
              </tr>
              <tr>
                <td>August 28, 2020</td>
                <td>Diversification and fund raising</td>
              </tr>
              <tr>
                <td>September 2, 2020</td>
                <td>Acquisition of land</td>
              </tr>
              <tr>
                <td>September 7, 2020</td>
                <td>Diversification and fund raising</td>
              </tr>
              <tr>
                <td>July 30, 2020</td>
                <td>Acquisition of new subsidiary</td>
              </tr>
              <tr>
                <td>Green Ocean Corporation Berhad September 1, 2020</td>
                <td>Diversification and fund raising</td>
              </tr>
              <tr>
                <td>September 3, 2020</td>
                <td>Diversification and fund raising</td>
              </tr>
              <tr>
                <td>August 10, 2020</td>
                <td>Acquisition of new subsidiary</td>
              </tr>
              <tr>
                <td>Hong Seng Consolidated Berhad August 26, 2020</td>
                <td>Manufacturing plant</td>
              </tr>
              <tr>
                <td>August 28, 2020</td>
                <td>Manufacturing plant</td>
              </tr>
              <tr>
                <td>Iconic Worldwide Berhad September 2, 2020</td>
                <td>Diversification</td>
              </tr>
              <tr>
                <td>September 1, 2020</td>
                <td>Diversification and fund raising</td>
              </tr>
              <tr>
                <td>Joe Holdings Berhad</td>
                <td></td>
              </tr>
              <tr>
                <td>September 8, 2020</td>
                <td>Diversification and fund raising</td>
              </tr>
              <tr>
                <td>Karex Berhad August 24, 2020</td>
                <td>Diversification (continued)</td>
              </tr>
              <tr>
                <td>Company Date of Announcement</td>
                <td>Type of Announcement</td>
              </tr>
              <tr>
                <td>July 15, 2020</td>
                <td>Joint Venture</td>
              </tr>
              <tr>
                <td>August 14, 2020</td>
                <td>Joint Venture</td>
              </tr>
              <tr>
                <td>MQ Technology Berhad</td>
                <td></td>
              </tr>
              <tr>
                <td>September 15, 2020</td>
                <td>Joint Venture</td>
              </tr>
              <tr>
                <td>September 17, 2020</td>
                <td>Joint Venture</td>
              </tr>
              <tr>
                <td>September 8, 2020</td>
                <td>Diversification and fund raising</td>
              </tr>
              <tr>
                <td>One Glove Berhad</td>
                <td></td>
              </tr>
              <tr>
                <td>September 10, 2020</td>
                <td>Diversification and fund raising</td>
              </tr>
              <tr>
                <td>June 5, 2020</td>
                <td>Acquisition of new subsidiary</td>
              </tr>
              <tr>
                <td>Permaju Industries Berhad</td>
                <td></td>
              </tr>
              <tr>
                <td>July 16, 2020</td>
                <td>Clarification of news</td>
              </tr>
              <tr>
                <td>September 2, 2020</td>
                <td>Acquisition of new subsidiary</td>
              </tr>
              <tr>
                <td>Vizione Holdings Berhad</td>
                <td></td>
              </tr>
              <tr>
                <td>September 8, 2020</td>
                <td>Acquisition of new subsidiary</td>
              </tr>
              <tr>
                <td>August 11, 2020</td>
                <td>August 11, 2020</td>
              </tr>
              <tr>
                <td>Zen Tech International Berhad</td>
                <td></td>
              </tr>
              <tr>
                <td>August 14, 2020</td>
                <td>August 14, 2020</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <table-wrap id="tbl3">
          <label>Table 3</label>
          <caption><title>Time and Type of Announcements by Glove Companies</title></caption>
          <table>
            <thead>
              <tr>
                <th>Company</th>
                <th>Date of announcement</th>
                <th>Type of announcement</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td></td>
                <td>March 18, 2020 March 19, 2020 April 1, 2020 April 16, 2020 April 20, 2020 April 24, 2020 May 6, 2020 May 14, 2020</td>
                <td>Joint venture Joint venture Joint venture Joint venture Joint venture Joint venture Joint venture Joint venture</td>
              </tr>
              <tr>
                <td>Careplus Group Berhad</td>
                <td>June 12, 2020 June 15, 2020 June 22, 2020 June 23, 2020 August 7, 2020 August 10, 2020 August 11, 2020 August 21, 2020 March 25, 2020 March 27, 2020</td>
                <td>Fund raising Fund raising Fund raising Fund raising Acquisition of land Acquisition of land Acquisition of land Acquisition of land Acquisition of land Acquisition of land</td>
              </tr>
              <tr>
                <td>Hartalega Holdings Berhad</td>
                <td>August 10, 2020 August 28, 2020 September 2, 2020 May 4, 2020 Mau 5, 2020 May 12, 2020</td>
                <td>Acquisition of land Acquisition of land Acquisition of land Fund raising Fund raising Fund raising</td>
              </tr>
              <tr>
                <td>Hextar Healthcare Berhad</td>
                <td>May 18, 2020 August 12, 2020 August 14, 2020 August 10, 2020</td>
                <td>Fund raising Joint venture Joint venture Fund raising</td>
              </tr>
              <tr>
                <td>HLT Global Berhad</td>
                <td>August 17, 2020 August 19, 2020</td>
                <td>Fund raising Fund raising</td>
              </tr>
              <tr>
                <td>Kossan Rubber Industries Berhad</td>
                <td>July 6, 2020 March 19, 2020 May 27, 2020</td>
                <td>Acquisition of land Acquisition of land Acquisition of land</td>
              </tr>
              <tr>
                <td>Supermax Corporation Berhad</td>
                <td>June 9, 2020 July 7, 2020</td>
                <td>Acquisition of land Acquisition of land</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
    </sec>
    <sec id="sec4">
      <title>THEORETICAL FRAMEWORK</title>
      <p>For this study, the CAR surrounding each announcement is calculated. CAR is used because the study is looking at each unique announcement to each unique company rather than CAAR. Then a statistical significance test on the CAR was carried out. The event window used is a total of seven trading days, three trading days before and after the day of announcement. The days prior to the events are also included as there might be the potential of information overflow before the event dates or investors’ underreaction in the post-event period. So, T−3 means three trading days before the day of announcement, T0 means the trading day of the announcement, while T+3 means three trading days after the day of announcement. This is similar Martins and Cró (2022) as the study wants to look at the immediate short-term reaction. The estimation period to calculate the normal return of the stock is 200 trading days prior to the event window, and this is to ensure that the data is more reliable, again, similar to Martins and Cró (2022). The following research method is used: a) b)</p>
      <p>To obtain the actual return of each stock, we used the Bloomberg® terminal. We then calculated the market model of each stock by regressing with the model mentioned in Equation 1. The actual return period used to obtain the market model is 200 to 4 active exchange days before the announcement event in each company: (1) 𝑅𝑖,𝑡 = 𝛼𝑖 + 𝛽𝑖 𝑅𝑚,𝑡 , where 𝑅𝑚,𝑡 is the market return on period t. Next, we calculated the expected return of each stock with the model contained in Equation 2: (2) 𝐸(𝑅𝑖 ) = 𝑅𝑓 + 𝛽𝑖 (𝑅𝑚 − 𝑅𝑓 ), where is 𝑅𝑓 risk free rate. We calculated the abnormal returns using the following formula: (3) AR 𝑖,𝑡 = 𝑅𝑖,𝑡 − 𝐸(𝑅)𝑖,𝑡 . We then calculated the CAR. To reduce the confounding effects from other events, the period used to calculate the CAR is limited from three active trading days before the event to three active trading days after the event: 𝑡2 CAR (𝑡1 ,𝑡2 ) = ∑𝑡=𝑡 AR 𝑡 . (4)</p>
      <p>Finally, we performed a statistical significance test on the CAR using a t-test:</p>
      <p>CAR(𝑡1,𝑡2) 𝑠(CAR(𝑡 𝑡 ) ) 1, 2 where N is the number of samples.</p>
      <p>HYPOTHESES H1 H2</p>
      <p>There is a significant relationship between the stock market reaction and the announcements related to glove business during the COVID-19 pandemic. There is a significant response from the stock market that can be observed in the earlier announcements as it will change the total mix of information available to an investor in making investment decisions. The information on the announcement of glove business during COVID-19 pandemic is material information for investors to make investment decisions. The stock market reacted positively to the announcement of glove-related business as there is a positive expectation of the future earnings of these companies.</p>
      <p>RESULTS AND DISCUSSION Non-Glove Companies AT Systematization Berhad Non-glove companies: From March 18, 2020 to September 17, 2020, AT Systematization made 12 glove-related announcements. The initial announcement on June 10, 2020, regarding the acquisition of a new glove subsidiary, generated a significant positive market response. Subsequent announcements showed minor fluctuations or negative CAR, suggesting market inefficiencies and indicating that investors mainly reacted to the first announcement (Law et al., 2020; Yunus et al., 2022).</p>
      <table-wrap id="tbl4">
        <label>Table 4</label>
        <caption><title>CAR and t-Test in the Sample Period for AT Systematization</title></caption>
        <table>
          <thead>
            <tr>
              <th></th>
              <th colspan="2">June 10, 2020</th>
              <th colspan="2">June 15, 2020</th>
              <th colspan="2">June 26, 2020</th>
              <th colspan="2">July 1, 2020</th>
              <th colspan="2">July 30, 2020</th>
              <th colspan="2">August 10, 2020</th>
            </tr>
            <tr>
              <th>Day</th>
              <th colspan="12"></th>
            </tr>
            <tr>
              <th></th>
              <th>CAR</th>
              <th>t-test</th>
              <th>CAR</th>
              <th>t-test</th>
              <th>CAR</th>
              <th>t-test</th>
              <th>CAR</th>
              <th>t-test</th>
              <th>CAR</th>
              <th>t-test</th>
              <th>CAR</th>
              <th>t-test</th>
            </tr>
          </thead>
          <tbody>
            <tr>
              <td>T−3</td>
              <td>29.0880%</td>
              <td>1.1175</td>
              <td>18.2294%</td>
              <td>0.6869</td>
              <td>−12.6622%</td>
              <td>−0.4699</td>
              <td>21.4774%</td>
              <td>0.7874</td>
              <td>−0.8116%</td>
              <td>−0.0286</td>
              <td>−4.9624%</td>
              <td>−0.1716</td>
            </tr>
            <tr>
              <td>T−2</td>
              <td>28.7057%</td>
              <td>1.1028</td>
              <td>46.6863%</td>
              <td>1.7591</td>
              <td>−31.4903%</td>
              <td>−1.1686</td>
              <td>47.4508%</td>
              <td>1.7396</td>
              <td>23.8454%</td>
              <td>0.8405</td>
              <td>−2.1652%</td>
              <td>−0.0749</td>
            </tr>
            <tr>
              <td>T−1</td>
              <td>26.8344%</td>
              <td>1.0309</td>
              <td>37.2998%</td>
              <td>1.4055</td>
              <td>−31.4810%</td>
              <td>−1.1682</td>
              <td>21.1347%</td>
              <td>0.7748</td>
              <td>17.8003%</td>
              <td>0.6275</td>
              <td>−6.9484%</td>
              <td>−0.2403</td>
            </tr>
            <tr>
              <td>T0</td>
              <td>45.1569%</td>
              <td>1.7348</td>
              <td>32.9744%</td>
              <td>1.2425</td>
              <td>−10.1464%</td>
              <td>−0.3765</td>
              <td>14.5411%</td>
              <td>0.5331</td>
              <td>12.1155%</td>
              <td>0.4271</td>
              <td>12.7566%</td>
              <td>0.4411</td>
            </tr>
            <tr>
              <td>T+1</td>
              <td>73.5284%</td>
              <td>2.8247*</td>
              <td>38.1758%</td>
              <td>1.4385</td>
              <td>15.7001%</td>
              <td>0.5826</td>
              <td>17.0963%</td>
              <td>0.6268</td>
              <td>31.3183%</td>
              <td>1.1040</td>
              <td>20.8279%</td>
              <td>0.7203</td>
            </tr>
            <tr>
              <td>T+2</td>
              <td>64.1220%</td>
              <td>2.4633*</td>
              <td>26.3920%</td>
              <td>0.9945</td>
              <td>−10.7424%</td>
              <td>−0.3986</td>
              <td>5.5513%</td>
              <td>0.2035</td>
              <td>35.3986%</td>
              <td>1.2478</td>
              <td>1.4212%</td>
              <td>0.0491</td>
            </tr>
            <tr>
              <td>T+3</td>
              <td>59.4152%</td>
              <td>2.2825* Notes. Denote statistical significance at 5% level.</td>
              <td>23.2894%</td>
              <td>0.8775</td>
              <td>−17.4474%</td>
              <td>−0.6475</td>
              <td>2.9728%</td>
              <td>0.1090</td>
              <td>30.5300%</td>
              <td>1.0762</td>
              <td>−0.7451%</td>
              <td>−0.0258</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <table-wrap id="tbl5">
        <label>Table 5</label>
        <caption><title>CAR and t-Test in the Sample Period for AT Systematization</title></caption>
        <table>
          <thead>
            <tr>
              <th></th>
              <th colspan="2">August 11, 2020</th>
              <th colspan="2">August 25, 2020</th>
              <th colspan="2">August 27, 2020</th>
              <th colspan="2">August 28, 2020</th>
              <th colspan="2">September 2, 2020</th>
              <th colspan="2">September 7. 2020</th>
            </tr>
            <tr>
              <th>Day</th>
              <th colspan="12"></th>
            </tr>
            <tr>
              <th></th>
              <th>CAR</th>
              <th>t-test</th>
              <th>CAR</th>
              <th>t-test</th>
              <th>CAR</th>
              <th>t-test</th>
              <th>CAR</th>
              <th>t-test</th>
              <th>CAR</th>
              <th>t-test</th>
              <th>CAR</th>
              <th>t-test</th>
            </tr>
          </thead>
          <tbody>
            <tr>
              <td>T−3</td>
              <td>2.8078%</td>
              <td>0.0970</td>
              <td>−10.5272%</td>
              <td>−0.3571</td>
              <td>−5.2801%</td>
              <td>−0.1790</td>
              <td>0.4305%</td>
              <td>0.0146</td>
              <td>−6.4107%</td>
              <td>−0.2171</td>
              <td>−2.0265%</td>
              <td>−0.0686</td>
            </tr>
            <tr>
              <td>T−2</td>
              <td>−1.9483%</td>
              <td>−0.0673</td>
              <td>−5.8275%</td>
              <td>−0.1977</td>
              <td>−4.8824%</td>
              <td>−0.1655</td>
              <td>5.7492%</td>
              <td>0.1948</td>
              <td>−4.7067%</td>
              <td>−0.1594</td>
              <td>−6.1865%</td>
              <td>−0.2094</td>
            </tr>
            <tr>
              <td>T−1</td>
              <td>17.7817%</td>
              <td>0.6146</td>
              <td>−11.1440%</td>
              <td>−0.3781</td>
              <td>0.4082%</td>
              <td>0.0138</td>
              <td>−0.6218%</td>
              <td>−0.0211</td>
              <td>0.4449%</td>
              <td>0.0151</td>
              <td>−1.3692%</td>
              <td>−0.0463</td>
            </tr>
            <tr>
              <td>T0</td>
              <td>25.8784%</td>
              <td>0.8944</td>
              <td>−10.7949%</td>
              <td>−0.3662</td>
              <td>−5.9843%</td>
              <td>−0.2029</td>
              <td>1.1295%</td>
              <td>0.0383</td>
              <td>−1.6245%</td>
              <td>−0.0550</td>
              <td>−7.3757%</td>
              <td>−0.2496</td>
            </tr>
            <tr>
              <td>T+1</td>
              <td>6.4977%</td>
              <td>0.2246</td>
              <td>−5.5333%</td>
              <td>−0.1877</td>
              <td>−4.2757%</td>
              <td>−0.1450</td>
              <td>6.3227%</td>
              <td>0.2143</td>
              <td>−5.7724%</td>
              <td>−0.1955</td>
              <td>−8.3188%</td>
              <td>−0.2816</td>
            </tr>
            <tr>
              <td>T+2</td>
              <td>4.3422%</td>
              <td>0.1501</td>
              <td>−11.9295%</td>
              <td>−0.4047</td>
              <td>0.8905%</td>
              <td>0.0302</td>
              <td>4.2906%</td>
              <td>0.1454</td>
              <td>−0.9754%</td>
              <td>−0.0330</td>
              <td>−12.7116%</td>
              <td>−0.4302</td>
            </tr>
            <tr>
              <td>T+3</td>
              <td>−9.8324%</td>
              <td>−0.3398 Notes. Denote statistical significance at 5% level.</td>
              <td>−10.3079%</td>
              <td>−0.3497</td>
              <td>−1.1563%</td>
              <td>−0.0392</td>
              <td>0.1885%</td>
              <td>0.0064</td>
              <td>−7.0021%</td>
              <td>−0.2372</td>
              <td>−12.8597%</td>
              <td>−0.4352</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <fig id="fig1">
        <label>Figure 1</label>
        <caption><title>AT Systematization’s Cumulative Abnormal Returns (CAR) during the Event</title></caption>
      </fig>
      <sec id="sec4-1">
        <title>Green Ocean Corporation Berhad (Green Ocean)</title>
        <p>Between March 18 and September 17, 2020, Green Ocean’s stock price ranged from RM0.064 to RM0.326, with daily returns from −17.4% to +50.0%. The company issued three glove-related announcements, mirroring AT Systematization’s strategy. Initially, Green Ocean acquired a gloveinvolved subsidiary, later announcing diversification into gloves and capital raising. Analysis revealed that only Green Ocean’s first announcement significantly impacted the market, whereas subsequent announcements did not. The initial announcement notably uplifted the market, shown by increased postannouncement CAR, displaying market efficiency with similar CAR values on days two and three postannouncement. Conversely, the second announcement lacked significant impact, displaying a mostly positive but statistically insignificant CAR. The third announcement negatively affected the market, with insignificant negative CAR values. Investors viewed the first announcement as crucial for trading decisions, while subsequent announcements lacked material significance, akin to AT Systematization’s pattern, highlighting varying market efficiency levels amid glove industry business diversification.</p>
        <table-wrap id="tbl6">
          <label>Table 6</label>
          <caption><title>CAR and t-Test in the Sample Period for Green Ocean</title></caption>
          <table>
            <thead>
              <tr>
                <th></th>
                <th colspan="2">July 30, 2020</th>
                <th colspan="2">September 1, 2020</th>
                <th colspan="2">September 3, 2020</th>
              </tr>
              <tr>
                <th>Day</th>
                <th colspan="6"></th>
              </tr>
              <tr>
                <th></th>
                <th>CAR</th>
                <th>t-test</th>
                <th>CAR</th>
                <th>t-test</th>
                <th>CAR</th>
                <th>t-test</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>T−3</td>
                <td>5.8692%</td>
                <td>0.3396</td>
                <td>12.0723%</td>
                <td>0.5902</td>
                <td>1.5803%</td>
                <td>0.0767</td>
              </tr>
              <tr>
                <td>T−2</td>
                <td>16.7635%</td>
                <td>0.9699</td>
                <td>6.6560%</td>
                <td>0.3254</td>
                <td>9.4695%</td>
                <td>0.4596</td>
              </tr>
              <tr>
                <td>T−1</td>
                <td>18.0100%</td>
                <td>1.0420</td>
                <td>8.3161%</td>
                <td>0.4066</td>
                <td>−3.5380%</td>
                <td>−0.1717</td>
              </tr>
              <tr>
                <td>T0</td>
                <td>32.2821%</td>
                <td>1.8677</td>
                <td>16.2510%</td>
                <td>0.7945</td>
                <td>−12.9266%</td>
                <td>−0.6274</td>
              </tr>
              <tr>
                <td>T+1</td>
                <td>41.1005%</td>
                <td>2.3779*</td>
                <td>3.2621%</td>
                <td>0.1595</td>
                <td>−13.8991%</td>
                <td>−0.6746</td>
              </tr>
              <tr>
                <td>T+2</td>
                <td>36.9529%</td>
                <td>2.1379*</td>
                <td>−6.0562%</td>
                <td>−0.2961</td>
                <td>−19.7658%</td>
                <td>−0.9593</td>
              </tr>
              <tr>
                <td>T+3</td>
                <td>36.9651% Notes. Denote statistical significance at 5% level.</td>
                <td>2.1386*</td>
                <td>−6.9889%</td>
                <td>−0.3417</td>
                <td>−27.9637%</td>
                <td>−1.3572</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <fig id="fig2">
          <label>Figure 2</label>
          <caption><title>Green Ocean’s Cumulative Abnormal Returns (CAR) during the Event Window 50% 40% 30% 20% 10% 0% -10%</title></caption>
        </fig>
      </sec>
      <sec id="sec4-2">
        <title>Hong Seng Consolidated Berhad (Hong Seng)</title>
        <p>During March 18 to September 17, 2020, Hong Seng’s stock price fluctuated between RM0.011 and RM0.44, with daily returns ranging from −26.7% to +45.7%. Three glove-related announcements were made. Compared to AT Systematization and Green Ocean, Hong Seng didn’t raise new capital for glove plant construction. Table 7 and Figure 3 display CAR and t-test results. Notably, none of Hong Seng’s announcements elicited a significant market reaction; the t-test confirmed this lack of significance. Despite two announcements with positive CAR, none were significant, implying market inefficiency. The third announcement showed fluctuating CAR (−13.4% to +16.8%), none deemed significant, reaffirming market inefficiency.</p>
        <table-wrap id="tbl7">
          <label>Table 7</label>
          <caption><title>CAR and t-Test in the Sample Period for Hong Seng</title></caption>
          <table>
            <thead>
              <tr>
                <th></th>
                <th colspan="2">August 10, 2020</th>
                <th colspan="2">August 26, 2020</th>
                <th colspan="2">August 28, 2020</th>
              </tr>
              <tr>
                <th>Day</th>
                <th colspan="6"></th>
              </tr>
              <tr>
                <th></th>
                <th>CAR</th>
                <th>t-test</th>
                <th>CAR</th>
                <th>t-test</th>
                <th>CAR</th>
                <th>t-test</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>T−3</td>
                <td>38.2931%</td>
                <td>1.5448</td>
                <td>0.5589%</td>
                <td>0.0209</td>
                <td>16.8237%</td>
                <td>0.6209</td>
              </tr>
              <tr>
                <td>T−2</td>
                <td>47.4979%</td>
                <td>1.9161</td>
                <td>24.7257%</td>
                <td>0.9246</td>
                <td>8.5401%</td>
                <td>0.3152</td>
              </tr>
              <tr>
                <td>T−1</td>
                <td>42.0769%</td>
                <td>1.6974</td>
                <td>41.6676%</td>
                <td>1.5581</td>
                <td>−0.4440%</td>
                <td>−0.0164</td>
              </tr>
              <tr>
                <td>T0</td>
                <td>43.4750%</td>
                <td>1.7538</td>
                <td>33.5009%</td>
                <td>1.2527</td>
                <td>9.7641%</td>
                <td>0.3604</td>
              </tr>
              <tr>
                <td>T+1</td>
                <td>43.1962%</td>
                <td>1.7426</td>
                <td>24.6366%</td>
                <td>0.9213</td>
                <td>6.6920%</td>
                <td>0.2470</td>
              </tr>
              <tr>
                <td>T+2</td>
                <td>30.1025%</td>
                <td>1.2144</td>
                <td>34.9603%</td>
                <td>1.3073</td>
                <td>−4.5593%</td>
                <td>−0.1683</td>
              </tr>
              <tr>
                <td>T+3</td>
                <td>24.4490%</td>
                <td>0.9863</td>
                <td>32.0068%</td>
                <td>1.1969</td>
                <td>−13.4393%</td>
                <td>−0.4960</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <fig id="fig3">
          <label>Figure 3</label>
          <caption><title>Hong Seng’s Cumulative Abnormal Returns (CAR) during the Event Window</title></caption>
        </fig>
      </sec>
      <sec id="sec4-3">
        <title>Iconic Worldwide Berhad (Iconic)</title>
        <p>During March 18, 2020 to September 17, 2020, Iconic’s stock price fluctuated between RM0.18 and RM0.905, with daily returns ranging from −22.05% to +81.08%. Amid this, the company issued a single announcement on September 2, 2020 regarding its diversification into glove manufacturing. Despite a positive uptrend in the CAR, reaching a peak of +26.6% on T−1, the CAR declined notably by T+2. Notably, all days surrounding the announcement showed positive CAR, except for T−3. However, statistical analysis via t-tests revealed nonsignificant CAR values, indicating an inefficient market response to the announcement, as the stock market did not significantly react.</p>
        <table-wrap id="tbl8">
          <label>Table 8</label>
          <caption><title>CAR and t-Test in the Sample Period for Iconic</title></caption>
          <table>
            <thead>
              <tr>
                <th></th>
                <th colspan="2">September 2, 2020</th>
              </tr>
              <tr>
                <th>Day</th>
                <th colspan="2"></th>
              </tr>
              <tr>
                <th></th>
                <th>CAR</th>
                <th>t-test</th>
              </tr>
              <tr>
                <th>T−3</th>
                <th>−1.7987%</th>
                <th>−0.0816</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>T−2</td>
                <td>12.8819%</td>
                <td>0.5844</td>
              </tr>
              <tr>
                <td>T−1</td>
                <td>26.6298%</td>
                <td>1.2081</td>
              </tr>
              <tr>
                <td>T0</td>
                <td>13.9969%</td>
                <td>0.6350</td>
              </tr>
              <tr>
                <td>T+1</td>
                <td>8.7687%</td>
                <td>0.3978</td>
              </tr>
              <tr>
                <td>T+2</td>
                <td>4.8861%</td>
                <td>0.2217</td>
              </tr>
              <tr>
                <td>T+3</td>
                <td>5.9729%</td>
                <td>0.2710</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <fig id="fig4">
          <label>Figure 4</label>
          <caption><title>Iconic’s Cumulative Abnormal Returns (CAR) during the Event Window</title></caption>
        </fig>
      </sec>
      <sec id="sec4-4">
        <title>Joe Holdings Berhad (Joe)</title>
        <p>During March 18, 2020 to September 17, 2020, Joe’s stock price ranged from RM0.064 to RM0.238, with daily returns between −21.01% and +57.62%. Despite lacking glove industry experience, Joe announced plans to diversify into glove production and raise capital, issuing two announcements. Table 9 and Figure 2 depict the CAR and t-test results. The first announcement elicited a significant positive market reaction, reflected in CARs ranging from +35.8% to +62.0%. Subsequent announcements showed insignificant and negative CARs (−11.3% to −3.2%), suggesting they were immaterial for investors. This contrasts with AT Systematization and Green Ocean, emphasizing investors’ perception of the first announcement’s significance for investment decisions in Joe shares.</p>
        <table-wrap id="tbl9">
          <label>Table 9</label>
          <caption><title>CAR and t-Test in the Sample Period for Joe</title></caption>
          <table>
            <thead>
              <tr>
                <th></th>
                <th colspan="2">September 1, 2020</th>
                <th colspan="2">September 8, 2020</th>
              </tr>
              <tr>
                <th>Day</th>
                <th colspan="4"></th>
              </tr>
              <tr>
                <th></th>
                <th>CAR</th>
                <th>t-test</th>
                <th>CAR</th>
                <th>t-test</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>T−3</td>
                <td>57.6997%</td>
                <td>3.5408*</td>
                <td>−3.1639%</td>
                <td>−0.1553</td>
              </tr>
              <tr>
                <td>T−2</td>
                <td>35.8253%</td>
                <td>2.1984*</td>
                <td>−8.2864%</td>
                <td>−0.4067</td>
              </tr>
              <tr>
                <td>T−1</td>
                <td>40.7369%</td>
                <td>2.4998*</td>
                <td>−6.8858%</td>
                <td>−0.3380</td>
              </tr>
              <tr>
                <td>T0</td>
                <td>61.9274%</td>
                <td>3.8002*</td>
                <td>−9.7801%</td>
                <td>−0.4801</td>
              </tr>
              <tr>
                <td>T+1</td>
                <td>50.2243%</td>
                <td>3.0820*</td>
                <td>−11.2120%</td>
                <td>−0.5503</td>
              </tr>
              <tr>
                <td>T+2</td>
                <td>47.5673%</td>
                <td>2.9190*</td>
                <td>−11.3122%</td>
                <td>−0.5553</td>
              </tr>
              <tr>
                <td>T+3</td>
                <td>42.6711% Notes. Denote statistical significance at 5% level.</td>
                <td>2.6185*</td>
                <td>−5.6851%</td>
                <td>−0.2791</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <fig id="fig5">
          <label>Figure 5</label>
          <caption><title>Joe’s Cumulative Abnormal Returns (CAR) during the Event Window</title></caption>
        </fig>
      </sec>
      <sec id="sec4-5">
        <title>Karex Berhad (Karex)</title>
        <p>During March 18, 2020 to September 17, 2020, Karex stock traded between RM0.278 and RM1.153, showcasing daily returns from −15.68% to +44.74%. A singular glove-related announcement, diversifying into glove manufacturing, was made on August 24, 2020. Analysis revealed positive CARs ranging from +11% to +38% on the announcement day and the day before, suggesting potential information leakage. Investors perceived this news as impactful for decision-making, yet subsequent fluctuations indicated market inefficiency post-announcement, highlighting ongoing uncertainty despite positive initial reactions.</p>
        <table-wrap id="tbl10">
          <label>Table 10</label>
          <caption><title>CAR and t-Test in the Sample Period for Karex</title></caption>
          <table>
            <thead>
              <tr>
                <th></th>
                <th colspan="2">August 24, 2020</th>
              </tr>
              <tr>
                <th>Day</th>
                <th colspan="2"></th>
              </tr>
              <tr>
                <th></th>
                <th>CAR</th>
                <th>t-test</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>T−3</td>
                <td>11.0242%</td>
                <td>0.7995</td>
              </tr>
              <tr>
                <td>T−2</td>
                <td>14.3716%</td>
                <td>1.0422</td>
              </tr>
              <tr>
                <td>T−1</td>
                <td>38.4572%</td>
                <td>2.7889*</td>
              </tr>
              <tr>
                <td>T0</td>
                <td>36.8037%</td>
                <td>2.6690*</td>
              </tr>
              <tr>
                <td>T+1</td>
                <td>21.9345%</td>
                <td>1.5907</td>
              </tr>
              <tr>
                <td>T+2</td>
                <td>25.2484%</td>
                <td>1.8310</td>
              </tr>
              <tr>
                <td>T+3</td>
                <td>19.1168%</td>
                <td>1.3864</td>
              </tr>
              <tr>
                <td>Notes. Denote statistical significance at 5% level.</td>
                <td></td>
                <td></td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <fig id="fig6">
          <label>Figure 6</label>
          <caption><title>Karex’s Cumulative Abnormal Returns (CAR) during the Event Window</title></caption>
        </fig>
      </sec>
      <sec id="sec4-6">
        <title>MQ Technology Berhad (MQ Tech)</title>
        <p>During March 18, 2020 to September 17, 2020, MQ Tech’s stock price ranged from RM0.01 to RM0.265, exhibiting daily returns between −33.33% and +83.33%. Despite releasing four glove-related announcements on joint ventures, Table 11 and Figure 7 depict the CAR and t-test results surrounding these announcements. Notably, none of MQ Tech’s glove-related announcements significantly influenced investors’ decision-making. The initial announcement showed a relatively higher CAR until T+3, while subsequent announcements yielded negative CARs (−78.0% to −3.6%), lacking significant market impact. Overall, these announcements were deemed immaterial for investors’ trading decisions in MQ Technology shares.</p>
        <table-wrap id="tbl11">
          <label>Table 11</label>
          <caption><title>CAR and t-Test in the Sample Period for MQ Tech</title></caption>
          <table>
            <thead>
              <tr>
                <th></th>
                <th colspan="2">July 15, 2020</th>
                <th colspan="2">August 14, 2020</th>
                <th colspan="2">September 15, 2020</th>
                <th colspan="2">September 17, 2020</th>
              </tr>
              <tr>
                <th>Day</th>
                <th colspan="8"></th>
              </tr>
              <tr>
                <th></th>
                <th>CAR</th>
                <th>t-test</th>
                <th>CAR</th>
                <th>t-test</th>
                <th>CAR</th>
                <th>t-test</th>
                <th>CAR</th>
                <th>t-test</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>T−3</td>
                <td>−1.8986%</td>
                <td>−0.0475</td>
                <td>−17.4830%</td>
                <td>−0.4025</td>
                <td>−11.5294%</td>
                <td>−0.2575</td>
                <td>8.0009%</td>
                <td>0.1785</td>
              </tr>
              <tr>
                <td>T−2</td>
                <td>2.2796%</td>
                <td>0.0571</td>
                <td>−37.6479%</td>
                <td>−0.8668</td>
                <td>−3.5587%</td>
                <td>−0.0795</td>
                <td>5.7514%</td>
                <td>0.1283</td>
              </tr>
              <tr>
                <td>T−1</td>
                <td>0.8537%</td>
                <td>0.0214</td>
                <td>−58.9917%</td>
                <td>−1.3582</td>
                <td>−5.8474%</td>
                <td>−0.1306</td>
                <td>0.2265%</td>
                <td>0.0051</td>
              </tr>
              <tr>
                <td>T0</td>
                <td>34.8827%</td>
                <td>0.8731</td>
                <td>−78.0405%</td>
                <td>−1.7968</td>
                <td>−11.3972%</td>
                <td>−0.2545</td>
                <td>−4.9732%</td>
                <td>−0.1109</td>
              </tr>
              <tr>
                <td>T+1</td>
                <td>25.1404%</td>
                <td>0.6293</td>
                <td>−76.4333%</td>
                <td>−1.7597</td>
                <td>−16.6625%</td>
                <td>−0.3721</td>
                <td>−7.0769%</td>
                <td>−0.1579</td>
              </tr>
              <tr>
                <td>T+2</td>
                <td>27.3277%</td>
                <td>0.6840</td>
                <td>−48.0852%</td>
                <td>−1.1071</td>
                <td>−18.8193%</td>
                <td>−0.4202</td>
                <td>−15.8383%</td>
                <td>−0.3533</td>
              </tr>
              <tr>
                <td>T+3</td>
                <td>16.7891%</td>
                <td>0.4202</td>
                <td>−56.3623%</td>
                <td>−1.2976</td>
                <td>−27.6347%</td>
                <td>−0.6171</td>
                <td>−18.0862%</td>
                <td>−0.4034</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <fig id="fig7">
          <label>Figure 7</label>
          <caption><title>MQ Tech’s Cumulative Abnormal Returns (CAR) during the Event Window</title></caption>
        </fig>
      </sec>
      <sec id="sec4-7">
        <title>One Glove Berhad (One Glove)</title>
        <p>Between March 18 and September 17, 2020, One Glove’s stock price varied from RM0.04 to RM0.93, with daily returns spanning from −27.27% to +127.66%. Two glove-related announcements were made regarding their foray into glove manufacturing and capital raising. However, Table 12 and Figure 8 depicting CAR and t-test results revealed insignificance in the announcements’ impact on investor decisions. The CAR trend showed negativity pre-announcement (T−3 to T0), turning positive postannouncement (T+1 to T+3). Notably, insignificant CARs (−5.9% to +35.5% and −4.7% to +36.6%) suggest market inefficiency and possible information leakage, indicating an overall lack of significant market reaction to the announcements.</p>
        <table-wrap id="tbl12">
          <label>Table 12</label>
          <caption><title>CAR and t-Test in the Sample Period for One Glove</title></caption>
          <table>
            <thead>
              <tr>
                <th></th>
                <th colspan="2">September 8, 2020</th>
                <th colspan="2">September 10, 2020</th>
              </tr>
              <tr>
                <th>Day</th>
                <th colspan="4"></th>
              </tr>
              <tr>
                <th></th>
                <th>CAR</th>
                <th>t-test</th>
                <th>CAR</th>
                <th>t-test</th>
              </tr>
              <tr>
                <th>T−3</th>
                <th>−5.9492%</th>
                <th>−0.1710</th>
                <th>−3.6801%</th>
                <th>−0.1057</th>
              </tr>
              <tr>
                <th>T−2</th>
                <th>−1.1054%</th>
                <th>−0.0318</th>
                <th>−4.6893%</th>
                <th>−0.1346</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>T−1</td>
                <td>−4.7906%</td>
                <td>−0.1377</td>
                <td>36.6490%</td>
                <td>1.0523</td>
              </tr>
              <tr>
                <td>T0</td>
                <td>−5.8004%</td>
                <td>−0.1667</td>
                <td>24.8211%</td>
                <td>0.7127</td>
              </tr>
              <tr>
                <td>T+1</td>
                <td>35.4900%</td>
                <td>1.0198</td>
                <td>28.1824%</td>
                <td>0.8092</td>
              </tr>
              <tr>
                <td>T+2</td>
                <td>23.6435%</td>
                <td>0.6794</td>
                <td>29.3624%</td>
                <td>0.8431</td>
              </tr>
              <tr>
                <td>T+3</td>
                <td>27.0266%</td>
                <td>0.7766</td>
                <td>18.2763%</td>
                <td>0.5248</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <fig id="fig8">
          <label>Figure 8</label>
          <caption><title>One Glove’s Cumulative Abnormal Returns (CAR) during the Event Window</title></caption>
        </fig>
      </sec>
      <sec id="sec4-8">
        <title>Permaju Industries Berhad (Permaju)</title>
        <p>During March 18 to September 17, 2020, Permaju’s stock price fluctuated between RM0.25 and RM0.995 with daily returns spanning −90% to +31.37%. Two glove-related announcements were made. One, about acquiring a new glove-manufacturing subsidiary, elicited a significant positive market reaction, reflected in a CAR between +0.6% and +24.1% on T+2. Although significant from T+1 to T+3, the market inefficiency persisted until T+3. The second announcement regarding a joint venture lacked significant impact, showcasing an insignificant CAR range of −9.9% to +9.5%. Investors deemed the first announcement material but considered subsequent updates immaterial for their decision-making process due to market inefficiencies.</p>
        <table-wrap id="tbl13">
          <label>Table 13</label>
          <caption><title>CAR and t-Test in the Sample Period for Permaju</title></caption>
          <table>
            <thead>
              <tr>
                <th></th>
                <th colspan="2">June 5, 2020</th>
                <th colspan="2">July 16, 2020</th>
              </tr>
              <tr>
                <th>Day</th>
                <th colspan="4"></th>
              </tr>
              <tr>
                <th></th>
                <th>CAR</th>
                <th>t-test</th>
                <th>CAR</th>
                <th>t-test</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>T−3</td>
                <td>0.5959%</td>
                <td>0.0951</td>
                <td>−5.5449%</td>
                <td>−0.4649</td>
              </tr>
              <tr>
                <td>T−2</td>
                <td>7.6466%</td>
                <td>1.2198</td>
                <td>−9.9727%</td>
                <td>−0.8361</td>
              </tr>
              <tr>
                <td>T−1</td>
                <td>4.1311%</td>
                <td>0.6590</td>
                <td>5.6585%</td>
                <td>0.4744</td>
              </tr>
              <tr>
                <td>T0</td>
                <td>3.6177%</td>
                <td>0.5771</td>
                <td>2.4463%</td>
                <td>0.2051</td>
              </tr>
              <tr>
                <td>T+1</td>
                <td>14.6822%</td>
                <td>2.3422*</td>
                <td>7.4187%</td>
                <td>0.6219</td>
              </tr>
              <tr>
                <td>T+2</td>
                <td>24.0819%</td>
                <td>3.8417*</td>
                <td>8.1170%</td>
                <td>0.6805</td>
              </tr>
              <tr>
                <td>T+3</td>
                <td>18.8033% Notes. Denote statistical significance at 5% level.</td>
                <td>2.9996*</td>
                <td>9.5530%</td>
                <td>0.8009</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <fig id="fig9">
          <label>Figure 9</label>
          <caption><title>Permaju’s Cumulative Abnormal Returns (CAR) during the Event Window 30% 25% 20% 15% 10% 5% 0% -5% -10% -15% T-3</title></caption>
        </fig>
      </sec>
      <sec id="sec4-9">
        <title>Vizione Holdings Berhad (Vizione)</title>
        <p>During March 18, 2020 to September 17, 2020, Vizione’s stock price fluctuated between RM0.24 and RM0.54, with daily returns spanning from −12.63% to +23.68%. Two glove-related announcements outlined the company’s intent to acquire a new subsidiary in the glove business. The resulting CAR and t-test (Table 14, Figure 10) revealed insignificance in market reaction to these announcements. The first announcement yielded positive but nonsignificant CAR (+7.6% to +21.8%), suggesting market inefficiency. Conversely, the second announcement generated mostly negative CARs, emphasizing market inefficiency. Overall, the findings suggest the market did not significantly react to either announcement, indicating market inefficiency in processing this information.</p>
        <table-wrap id="tbl14">
          <label>Table 14</label>
          <caption><title>CAR and t-Test in the Sample Period for Vizione</title></caption>
          <table>
            <thead>
              <tr>
                <th></th>
                <th colspan="2">September 2, 2020</th>
                <th colspan="2">September 8, 2020</th>
              </tr>
              <tr>
                <th>Day</th>
                <th colspan="4"></th>
              </tr>
              <tr>
                <th></th>
                <th>CAR</th>
                <th>t-test</th>
                <th>CAR</th>
                <th>t-test</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>T−3</td>
                <td>7.5673%</td>
                <td>0.6083</td>
                <td>−0.5095%</td>
                <td>−0.0399</td>
              </tr>
              <tr>
                <td>T−2</td>
                <td>21.0661%</td>
                <td>1.6934</td>
                <td>−3.6291%</td>
                <td>−0.2844</td>
              </tr>
              <tr>
                <td>T−1</td>
                <td>21.8247%</td>
                <td>1.7543</td>
                <td>−7.9206%</td>
                <td>−0.6206</td>
              </tr>
              <tr>
                <td>T0</td>
                <td>20.3880%</td>
                <td>1.6389</td>
                <td>−5.0008%</td>
                <td>−0.3919</td>
              </tr>
              <tr>
                <td>T+1</td>
                <td>20.1013%</td>
                <td>1.6158</td>
                <td>6.0894%</td>
                <td>0.4772</td>
              </tr>
              <tr>
                <td>T+2</td>
                <td>17.0868%</td>
                <td>1.3735</td>
                <td>−1.8226%</td>
                <td>−0.1428</td>
              </tr>
              <tr>
                <td>T+3</td>
                <td>12.9002%</td>
                <td>1.0370</td>
                <td>−0.8190%</td>
                <td>−0.0642</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <fig id="fig10">
          <label>Figure 10</label>
          <caption><title>Vizione’s Cumulative Abnormal Returns (CAR) during the Event Window 25% 20% 15% 10% 5% 0% -5% -10% T-3</title></caption>
        </fig>
      </sec>
      <sec id="sec4-10">
        <title>Zen Tech International Berhad (Zen Tech)</title>
        <p>During March 18 to September 17, 2020, Zen Tech’s stock price ranged from RM0.01 to RM0.408, with daily returns between −39.29% and 145%. Two glove-related announcements regarding a joint venture were made. Table 15 and Figure 11 display CAR and t-test results around these announcements. Both announcements significantly impacted the market, especially upon release, guiding investors’ decision-making. The first announcement elicited a positive CAR ranging from +34% to +243%, remaining significant until T+3, reflecting market inefficiency. Conversely, the second announcement generated a predominantly negative CAR except at T−3, fluctuating between −88% and +1.7%, with significant values at T0, T+1, and T+3, also showing market inefficiency until T+3.</p>
        <p>Glove Companies Careplus Group Berhad (Careplus) Careplus experienced varied stock market reactions to their 16 announcements regarding glove business expansion from March to September 2020. Only six announcements elicited significant stock market responses, with varying degrees of positive and negative CARs. Notably, initial announcements showed mixed reactions, with the first two having negative CARs, the seventh and eighth being positive before turning negative again for the fourteenth and fifteenth announcements. The remaining announcements, while not significant, also had mixed reactions.</p>
        <table-wrap id="tbl15">
          <label>Table 15</label>
          <caption><title>CAR and t-Test in the Sample Period for Careplus</title></caption>
          <table>
            <thead>
              <tr>
                <th></th>
                <th colspan="2">March 18, 2020</th>
                <th colspan="2">March 19, 2020</th>
                <th colspan="2">April 1, 2020</th>
                <th colspan="2">April 16, 2020</th>
                <th colspan="2">April 20, 2020</th>
                <th colspan="2">April 24, 2020</th>
                <th colspan="2">May 6, 2020</th>
                <th colspan="2">May 14, 2020</th>
              </tr>
              <tr>
                <th>Day</th>
                <th colspan="16"></th>
              </tr>
              <tr>
                <th></th>
                <th>CAR</th>
                <th>t-test</th>
                <th>CR</th>
                <th>t-test</th>
                <th>CAR</th>
                <th>t-test</th>
                <th>CAR</th>
                <th>t-test</th>
                <th>CAR</th>
                <th>t-test</th>
                <th>CAR</th>
                <th>t-test</th>
                <th>CAR</th>
                <th>t-test</th>
                <th>CAR</th>
                <th>t-test</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>T−3</td>
                <td>−4.0312%</td>
                <td>−0.2311</td>
                <td>−18.0638%</td>
                <td>−1.0348</td>
                <td>−0.1169%</td>
                <td>−0.0065</td>
                <td>6.4339%</td>
                <td>0.3528</td>
                <td>−2.7056%</td>
                <td>−0.1480</td>
                <td>−0.0495%</td>
                <td>−0.0027</td>
                <td>1.6660%</td>
                <td>0.0892</td>
                <td>9.8013%</td>
                <td>0.5148</td>
              </tr>
              <tr>
                <td>T−2</td>
                <td>−22.9706%</td>
                <td>−1.3166</td>
                <td>−23.6523%</td>
                <td>−1.3550</td>
                <td>19.1695%</td>
                <td>1.0709</td>
                <td>7.2139%</td>
                <td>0.3956</td>
                <td>6.2891%</td>
                <td>0.3441</td>
                <td>11.4780%</td>
                <td>0.6260</td>
                <td>21.9047%</td>
                <td>1.1731</td>
                <td>60.0356%</td>
                <td>3.1532*</td>
              </tr>
              <tr>
                <td>T−1</td>
                <td>−28.9114%</td>
                <td>−1.6571</td>
                <td>−25.6115%</td>
                <td>−1.4672</td>
                <td>19.2971%</td>
                <td>1.0780</td>
                <td>4.5529%</td>
                <td>0.2497</td>
                <td>1.5278%</td>
                <td>0.0836</td>
                <td>12.1916%</td>
                <td>0.6649</td>
                <td>20.4570%</td>
                <td>1.0956</td>
                <td>60.0391%</td>
                <td>3.1534*</td>
              </tr>
              <tr>
                <td>T0</td>
                <td>−31.1359%</td>
                <td>−1.7846</td>
                <td>−32.5646%</td>
                <td>−1.8656</td>
                <td>19.0022%</td>
                <td>1.0615</td>
                <td>13.5874%</td>
                <td>0.7451</td>
                <td>0.1275%</td>
                <td>0.0070</td>
                <td>27.5429%</td>
                <td>1.5021</td>
                <td>19.1181%</td>
                <td>1.0239</td>
                <td>60.1770%</td>
                <td>3.1607*</td>
              </tr>
              <tr>
                <td>T+1</td>
                <td>−38.3831%</td>
                <td>−2.2000*</td>
                <td>−27.3082%</td>
                <td>−1.5644</td>
                <td>19.3573%</td>
                <td>1.0814</td>
                <td>8.8718%</td>
                <td>0.4865</td>
                <td>0.1680%</td>
                <td>0.0092</td>
                <td>33.7757%</td>
                <td>1.8420</td>
                <td>28.9441%</td>
                <td>1.5501</td>
                <td>55.7526%</td>
                <td>2.9283*</td>
              </tr>
              <tr>
                <td>T+2</td>
                <td>−31.8983%</td>
                <td>−1.8283</td>
                <td>−37.1806%</td>
                <td>−2.1300*</td>
                <td>15.0396%</td>
                <td>0.8402</td>
                <td>7.5132%</td>
                <td>0.4120</td>
                <td>11.7127%</td>
                <td>0.6409</td>
                <td>27.4040%</td>
                <td>1.4945</td>
                <td>79.2985%</td>
                <td>4.2469*</td>
                <td>49.1219%</td>
                <td>2.5800*</td>
              </tr>
              <tr>
                <td>T+3</td>
                <td>−42.3858%</td>
                <td>−2.4295* Notes. Denote statistical significance at 5% level.</td>
                <td>−26.1736%</td>
                <td>−1.4994</td>
                <td>17.0676%</td>
                <td>0.9535</td>
                <td>7.5858%</td>
                <td>0.4160</td>
                <td>12.4444%</td>
                <td>0.6810</td>
                <td>24.5086%</td>
                <td>1.3366</td>
                <td>79.1815%</td>
                <td>4.2407*</td>
                <td>36.1735%</td>
                <td>1.8999</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <table-wrap id="tbl16">
          <label>Table 16</label>
          <caption><title>CAR and t-Test in the Sample Period for Careplus</title></caption>
          <table>
            <thead>
              <tr>
                <th></th>
                <th colspan="2">June 12, 2020</th>
                <th colspan="2">June 15, 2020</th>
                <th colspan="2">June 22, 2020</th>
                <th colspan="2">June 23, 2020</th>
                <th colspan="2">August 7, 2020</th>
                <th colspan="2">August 10, 2020</th>
                <th colspan="2">August 11, 2020</th>
                <th colspan="2">August 21, 2020</th>
              </tr>
              <tr>
                <th>Day</th>
                <th colspan="16"></th>
              </tr>
              <tr>
                <th></th>
                <th>CAR</th>
                <th>t-test</th>
                <th>CAR</th>
                <th>t-test</th>
                <th>CAR</th>
                <th>t-test</th>
                <th>CAR</th>
                <th>t-test</th>
                <th>CAR</th>
                <th>t-test</th>
                <th>CAR</th>
                <th>t-test</th>
                <th>CAR</th>
                <th>t-test</th>
                <th>CAR</th>
                <th>t-test</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>T−3</td>
                <td>−7.7329%</td>
                <td>−0.3189</td>
                <td>−0.9205%</td>
                <td>−0.0379</td>
                <td>−5.4022%</td>
                <td>−0.2217</td>
                <td>−3.7932%</td>
                <td>−0.1555</td>
                <td>10.7188%</td>
                <td>0.4091</td>
                <td>−1.0074%</td>
                <td>−0.0383</td>
                <td>−9.4384%</td>
                <td>−0.3592</td>
                <td>−9.1160%</td>
                <td>−0.3404</td>
              </tr>
              <tr>
                <td>T−2</td>
                <td>−8.6750%</td>
                <td>−0.3578</td>
                <td>−6.5803%</td>
                <td>−0.2710</td>
                <td>−9.2003%</td>
                <td>−0.3775</td>
                <td>5.4546%</td>
                <td>0.2237</td>
                <td>9.7728%</td>
                <td>0.3730</td>
                <td>−10.4374%</td>
                <td>−0.3972</td>
                <td>−26.7700%</td>
                <td>−1.0189</td>
                <td>17.1095%</td>
                <td>0.6388</td>
              </tr>
              <tr>
                <td>T−1</td>
                <td>−14.2985%</td>
                <td>−0.5897</td>
                <td>−8.4407%</td>
                <td>−0.3476</td>
                <td>0.0306%</td>
                <td>0.0013</td>
                <td>3.5089%</td>
                <td>0.1439</td>
                <td>0.4185%</td>
                <td>0.0160</td>
                <td>−27.7637%</td>
                <td>−1.0566</td>
                <td>−32.6714%</td>
                <td>−1.2435</td>
                <td>19.0319%</td>
                <td>0.7106</td>
              </tr>
              <tr>
                <td>T0</td>
                <td>−16.1438%</td>
                <td>−0.6658</td>
                <td>−18.6516%</td>
                <td>−0.7682</td>
                <td>−1.9328%</td>
                <td>−0.0793</td>
                <td>2.4324%</td>
                <td>0.0997</td>
                <td>−16.8477%</td>
                <td>−0.6430</td>
                <td>−33.6594%</td>
                <td>−1.2810</td>
                <td>−30.1873%</td>
                <td>−1.1490</td>
                <td>16.8175%</td>
                <td>0.6279</td>
              </tr>
              <tr>
                <td>T+1</td>
                <td>−26.2224%</td>
                <td>−1.0815</td>
                <td>−14.1333%</td>
                <td>−0.5821</td>
                <td>−3.0228%</td>
                <td>−0.1240</td>
                <td>−4.2822%</td>
                <td>−0.1756</td>
                <td>−22.6813%</td>
                <td>−0.8656</td>
                <td>−31.1696%</td>
                <td>−1.1862</td>
                <td>−50.8441%</td>
                <td>−1.9352*</td>
                <td>10.1413%</td>
                <td>0.3787</td>
              </tr>
              <tr>
                <td>T+2</td>
                <td>−21.7886%</td>
                <td>−0.8986</td>
                <td>−19.4802%</td>
                <td>−0.8023</td>
                <td>−9.7509%</td>
                <td>−0.4001</td>
                <td>−3.5916%</td>
                <td>−0.1473</td>
                <td>−20.1298%</td>
                <td>−0.7682</td>
                <td>−51.8208%</td>
                <td>−1.9722*</td>
                <td>−53.3222%</td>
                <td>−2.0295*</td>
                <td>−3.1911%</td>
                <td>−0.1192</td>
              </tr>
              <tr>
                <td>T+3</td>
                <td>−27.1853%</td>
                <td>−1.1212 Notes. Denote statistical significance at 5% level.</td>
                <td>−23.5431%</td>
                <td>−0.9696</td>
                <td>−9.0691%</td>
                <td>−0.3721</td>
                <td>−9.4853%</td>
                <td>−0.3889</td>
                <td>−40.7198%</td>
                <td>−1.5540</td>
                <td>−54.2906%</td>
                <td>−2.0662*</td>
                <td>−59.6053%</td>
                <td>−2.2687*</td>
                <td>3.9948%</td>
                <td>0.1492</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <fig id="fig11">
          <label>Figure 11</label>
          <caption><title>Careplus’ Cumulative Abnormal Returns (CAR) during the Event Window 100% 80% 60% 40% 20% 0%</title></caption>
        </fig>
      </sec>
      <sec id="sec4-11">
        <title>Hartalega Holdings Berhad (Hartalega)</title>
        <p>During March 18 to September 17, 2020, Hartalega’s stock traded between RM5.104 and RM17.041, showing daily returns from −11.93% to +17.67%. Five expansion-related announcements were made. The CAR and t-test (Table 17, Figure 13) revealed insignificance in the market’s reaction to the first two announcements. However, the third, fourth, and fifth announcements triggered negative and significant CAR, notably at T+2 and T+3, suggesting delayed market assimilation. Investors perceived these expansions as crucial but reacted negatively. This lag implies market inefficiency in processing subsequent announcements, unlike Careplus, highlighting the importance of investors understanding market response to new information.</p>
        <table-wrap id="tbl17">
          <label>Table 17</label>
          <caption><title>CAR and t-Test in the Sample Period for Hartalega</title></caption>
          <table>
            <thead>
              <tr>
                <th></th>
                <th colspan="2">March 25, 2020</th>
                <th colspan="2">March 27, 2020</th>
                <th colspan="2">August 10, 2020</th>
                <th colspan="2">August 28, 2020</th>
                <th colspan="2">September 2, 2020</th>
              </tr>
              <tr>
                <th>Day</th>
                <th colspan="10"></th>
              </tr>
              <tr>
                <th></th>
                <th>CAR</th>
                <th>t-test</th>
                <th>CAR</th>
                <th>t-test</th>
                <th>CAR</th>
                <th>t-test</th>
                <th>CAR</th>
                <th>t-test</th>
                <th>CAR</th>
                <th>t-test</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>T−3</td>
                <td>1.7332%</td>
                <td>0.4767</td>
                <td>−2.4686%</td>
                <td>−0.6738</td>
                <td>−0.9528%</td>
                <td>−0.1203</td>
                <td>−5.4709%</td>
                <td>−0.6352</td>
                <td>−0.3919%</td>
                <td>−0.0452</td>
              </tr>
              <tr>
                <td>T−2</td>
                <td>3.7815%</td>
                <td>1.0401</td>
                <td>−2.4033%</td>
                <td>−0.6560</td>
                <td>−2.8819%</td>
                <td>−0.3640</td>
                <td>−4.1946%</td>
                <td>−0.4870</td>
                <td>−1.0515%</td>
                <td>−0.1214</td>
              </tr>
              <tr>
                <td>T−1</td>
                <td>1.4320%</td>
                <td>0.3939</td>
                <td>−1.3668%</td>
                <td>−0.3731</td>
                <td>−6.3204%</td>
                <td>−0.7982</td>
                <td>−4.6020%</td>
                <td>−0.5343</td>
                <td>−1.7930%</td>
                <td>−0.2070</td>
              </tr>
              <tr>
                <td>T0</td>
                <td>1.6202%</td>
                <td>0.4456</td>
                <td>1.0438%</td>
                <td>0.2849</td>
                <td>−10.7255%</td>
                <td>−1.3546</td>
                <td>−5.3038%</td>
                <td>−0.6158</td>
                <td>−10.2244%</td>
                <td>−1.1804</td>
              </tr>
              <tr>
                <td>T+1</td>
                <td>2.6969%</td>
                <td>0.7418</td>
                <td>−1.4254%</td>
                <td>−0.3891</td>
                <td>−11.3576%</td>
                <td>−1.4344</td>
                <td>−6.0678%</td>
                <td>−0.7045</td>
                <td>−19.1215%</td>
                <td>−2.2077*</td>
              </tr>
              <tr>
                <td>T+2</td>
                <td>5.1783%</td>
                <td>1.4243</td>
                <td>−1.1452%</td>
                <td>−0.3126</td>
                <td>−23.5016%</td>
                <td>−2.9681*</td>
                <td>−14.5060%</td>
                <td>−1.6841</td>
                <td>−18.7744%</td>
                <td>−2.1676*</td>
              </tr>
              <tr>
                <td>T+3</td>
                <td>2.7018%</td>
                <td>0.7431 Notes. Denote statistical significance at 5% level.</td>
                <td>−2.3407%</td>
                <td>−0.6389</td>
                <td>−22.6688%</td>
                <td>−2.8629*</td>
                <td>−23.4399%</td>
                <td>−2.7213*</td>
                <td>−19.4470%</td>
                <td>−2.2452*</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <fig id="fig12">
          <label>Figure 12</label>
          <caption><title>Hartalega’s Cumulative Abnormal Returns (CAR) during the Event Window 10% 5% 0% -5% -10%</title></caption>
        </fig>
      </sec>
      <sec id="sec4-12">
        <title>Hextar Healthcare Berhad (Hextar)</title>
        <p>During March 18 to September 17, 2020, Hextar’s stock price ranged from RM0.223 to RM2.297 with daily returns from −22.89% to +29.86%. Six glove business expansion announcements were made, evident in Table 18 and Figure 14. Most announcements prompted significant stock market reactions, signaling their perceived materiality to investors’ decisions. Market inefficiencies persisted postannouncement, with fluctuations observed. Initial announcements notably influenced market behavior positively, while subsequent ones varied. The first three had significant impacts, exposing initial market inefficiency. The fourth and fifth elicited negative reactions immediately, peaking on T+1 and T+3, respectively. The sixth showed a delayed negative impact post-announcement.</p>
        <table-wrap id="tbl18">
          <label>Table 18</label>
          <caption><title>CAR and t-Test in the Sample Period for Hextar</title></caption>
          <table>
            <thead>
              <tr>
                <th></th>
                <th colspan="2">May 4, 2020</th>
                <th colspan="2">May 5, 2020</th>
                <th colspan="2">May 12, 2020</th>
                <th colspan="2">May 18, 2020</th>
                <th colspan="2">August 12, 2020</th>
                <th colspan="2">August 14, 2020</th>
              </tr>
              <tr>
                <th>Day</th>
                <th colspan="12"></th>
              </tr>
              <tr>
                <th></th>
                <th>CAR</th>
                <th>t-test</th>
                <th>CAR</th>
                <th>t-test</th>
                <th>CAR</th>
                <th>t-test</th>
                <th>CAR</th>
                <th>t-test</th>
                <th>CAR</th>
                <th>t-test</th>
                <th>CAR</th>
                <th>t-test</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>T−3</td>
                <td>−0.8385%</td>
                <td>−0.0666</td>
                <td>0.4773%</td>
                <td>0.0379</td>
                <td>−2.5328%</td>
                <td>−0.1913</td>
                <td>−6.4268%</td>
                <td>−0.4534</td>
                <td>−5.9941%</td>
                <td>−0.3045</td>
                <td>−4.5787%</td>
                <td>−0.2316</td>
              </tr>
              <tr>
                <td>T−2</td>
                <td>−0.3688%</td>
                <td>−0.0293</td>
                <td>12.7329%</td>
                <td>1.0106</td>
                <td>−6.2551%</td>
                <td>−0.4724</td>
                <td>−10.2766%</td>
                <td>−0.7250</td>
                <td>−14.1009%</td>
                <td>−0.7163</td>
                <td>−24.6494%</td>
                <td>−1.2467</td>
              </tr>
              <tr>
                <td>T−1</td>
                <td>11.8751%</td>
                <td>0.9426</td>
                <td>32.2064%</td>
                <td>2.5561*</td>
                <td>−5.6533%</td>
                <td>−0.4269</td>
                <td>−13.9078%</td>
                <td>−0.9811</td>
                <td>−18.7549%</td>
                <td>−0.9527</td>
                <td>−22.4102%</td>
                <td>−1.1334</td>
              </tr>
              <tr>
                <td>T0</td>
                <td>31.3491%</td>
                <td>2.4882*</td>
                <td>29.7907%</td>
                <td>2.3644*</td>
                <td>21.2813%</td>
                <td>1.6071</td>
                <td>−20.3173%</td>
                <td>−1.4333</td>
                <td>−38.9029%</td>
                <td>−1.9762*</td>
                <td>−31.3180%</td>
                <td>−1.5839</td>
              </tr>
              <tr>
                <td>T+1</td>
                <td>28.9248%</td>
                <td>2.2958*</td>
                <td>26.3139%</td>
                <td>2.0885*</td>
                <td>14.9482%</td>
                <td>1.1288</td>
                <td>−33.0147%</td>
                <td>−2.3290*</td>
                <td>−36.6934%</td>
                <td>−1.8640</td>
                <td>−38.6868%</td>
                <td>−1.9566*</td>
              </tr>
              <tr>
                <td>T+2</td>
                <td>25.4448%</td>
                <td>2.0196*</td>
                <td>27.0710%</td>
                <td>2.1485*</td>
                <td>11.1905%</td>
                <td>0.8451</td>
                <td>−18.5397%</td>
                <td>−1.3079</td>
                <td>−45.6848%</td>
                <td>−2.3207*</td>
                <td>−11.2796%</td>
                <td>−0.5705</td>
              </tr>
              <tr>
                <td>T+3</td>
                <td>26.1948%</td>
                <td>2.0791* Notes. Denote statistical significance at 5% level.</td>
                <td>54.2000%</td>
                <td>4.3017*</td>
                <td>7.6518%</td>
                <td>0.5778</td>
                <td>−11.5833%</td>
                <td>−0.8171</td>
                <td>−53.1236%</td>
                <td>−2.6986*</td>
                <td>−10.1452%</td>
                <td>−0.5131</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <fig id="fig13">
          <label>Figure 13</label>
          <caption><title>Hextar’s Cumulative Abnormal Returns (CAR) during the Event Window 60% 40% 20% 0% -20% -40% -60% T-3 4/5/2020</title></caption>
        </fig>
      </sec>
      <sec id="sec4-13">
        <title>HLT Global Berhad (HLT)</title>
        <p>During March 18 to September 17, 2020, HLT’s stock price ranged from RM0.115 to RM3.18, with daily returns between −24.76% and +51.28%. Despite three glove-related expansion announcements, Table 19 and Figure 15 display insignificant CAR and t-test outcomes. None of HLT’s announcements generated substantial stock market reactions, suggesting investors did not find the information material for decision-making. The first announcement exhibited varied CARs, fluctuating between −42.6% and +25.0%, but lacked significance. The second announcement resulted in consistently negative CARs, varying from −46.0% to −2.1%. Similarly, the third announcement’s CAR fluctuated between −8.6% and +25.0%, with no significant impact. These findings reflect an inefficient market response to the announcements.</p>
        <table-wrap id="tbl19">
          <label>Table 19</label>
          <caption><title>CAR and t-Test in the Sample Period for HLT</title></caption>
          <table>
            <thead>
              <tr>
                <th></th>
                <th colspan="2">August 10, 2020</th>
                <th colspan="2">August 17, 2020</th>
                <th colspan="2">August 19, 2020</th>
              </tr>
              <tr>
                <th>Day</th>
                <th colspan="6"></th>
              </tr>
              <tr>
                <th></th>
                <th>CAR</th>
                <th>t-test</th>
                <th>CAR</th>
                <th>t-test</th>
                <th>CAR</th>
                <th>t-test</th>
              </tr>
              <tr>
                <th>T−3</th>
                <th>−0.7312%</th>
                <th>−0.0290</th>
                <th>−25.3756%</th>
                <th>−0.9755</th>
                <th>−8.6088%</th>
                <th>−0.3262</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>T−2</td>
                <td>24.9088%</td>
                <td>0.9875</td>
                <td>−25.8004%</td>
                <td>−0.9918</td>
                <td>−19.7872%</td>
                <td>−0.7498</td>
              </tr>
              <tr>
                <td>T−1</td>
                <td>3.7294%</td>
                <td>0.1479</td>
                <td>−34.6357%</td>
                <td>−1.3315</td>
                <td>5.9597%</td>
                <td>0.2258</td>
              </tr>
              <tr>
                <td>T0</td>
                <td>−11.0524%</td>
                <td>−0.4382</td>
                <td>−46.0165%</td>
                <td>−1.7690</td>
                <td>22.9257%</td>
                <td>0.8688</td>
              </tr>
              <tr>
                <td>T+1</td>
                <td>−16.9579%</td>
                <td>−0.6723</td>
                <td>−20.4082%</td>
                <td>−0.7845</td>
                <td>24.6666%</td>
                <td>0.9347</td>
              </tr>
              <tr>
                <td>T+2</td>
                <td>−42.4043%</td>
                <td>−1.6811</td>
                <td>−3.6404%</td>
                <td>−0.1399</td>
                <td>17.6153%</td>
                <td>0.6675</td>
              </tr>
              <tr>
                <td>T+3</td>
                <td>−42.6269%</td>
                <td>−1.6899</td>
                <td>−2.0850%</td>
                <td>−0.0802</td>
                <td>2.5656%</td>
                <td>0.0972</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <fig id="fig14">
          <label>Figure 14</label>
          <caption><title>HLT’s Cumulative Abnormal Returns (CAR) during the Event Window 30% 20% 10% 0% -10% -20% -30% -40% -50% T-3</title></caption>
        </fig>
      </sec>
      <sec id="sec4-14">
        <title>Kossan Rubber Industries Berhad (Kossan)</title>
        <p>Between March 18, 2020 and September 17, 2020, Kossan’s stock price fluctuated from RM1.845 to RM7.768, with daily returns spanning −14.21% to +21.02%. Only one announcement regarding their glove business expansion was made within this period. The release on July 6, 2020 exhibited consistently positive CARs ranging from +4.7% to +26.6%, peaking at T+3. All CAR values were significant post-announcement, indicating stock market inefficiency as investor reactions persisted several days after the announcement, showcasing delayed but substantial responses to the news.</p>
        <table-wrap id="tbl20">
          <label>Table 20</label>
          <caption><title>CAR and t-Test in the Sample Period for Kossan</title></caption>
          <table>
            <thead>
              <tr>
                <th></th>
                <th colspan="2">July 6, 2020</th>
              </tr>
              <tr>
                <th>Day</th>
                <th colspan="2"></th>
              </tr>
              <tr>
                <th></th>
                <th>CAR</th>
                <th>t-test</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>T−3</td>
                <td>3.8690%</td>
                <td>0.6587</td>
              </tr>
              <tr>
                <td>T−2</td>
                <td>4.7173%</td>
                <td>0.8032</td>
              </tr>
              <tr>
                <td>T−1</td>
                <td>6.0785%</td>
                <td>1.0349</td>
              </tr>
              <tr>
                <td>T0</td>
                <td>15.9687%</td>
                <td>2.7188*</td>
              </tr>
              <tr>
                <td>T+1</td>
                <td>21.1806%</td>
                <td>3.6062*</td>
              </tr>
              <tr>
                <td>T+2</td>
                <td>23.7892%</td>
                <td>4.0503*</td>
              </tr>
              <tr>
                <td>T+3</td>
                <td>26.5885%</td>
                <td>4.5269*</td>
              </tr>
              <tr>
                <td>Notes. Denote statistical significance at 5% level.</td>
                <td></td>
                <td></td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <fig id="fig15">
          <label>Figure 15</label>
          <caption><title>Kossan’s Cumulative Abnormal Returns (CAR) during the Event Window 30% 25% 20% 15% 10% 5%</title></caption>
        </fig>
      </sec>
      <sec id="sec4-15">
        <title>Supermax Corporation Berhad (Supermax)</title>
        <p>During March 18 to September 17, 2020, Supermax’s stock price ranged from RM0.553 to RM9.394 with daily returns between −18.46% and +24.56%. Among four announcements, most elicited significant positive market reactions, suggesting investors considered information about glove business expansion crucial for decisions. The March 19 announcement had a notably negative market response (−9.0% to −17.6% CAR), impacting stock prices significantly. The May 27 announcement resulted in a positive CAR (+6.8% to +59.3%), indicating prior market anticipation. The June 9 announcement showed no significant market impact despite fluctuations. However, the July 7 announcement triggered a significant positive market reaction (+2.9% to +36.9% CAR), particularly on days following the release.</p>
        <table-wrap id="tbl21">
          <label>Table 21</label>
          <caption><title>CAR and t-Test in the Sample Period for Supermax</title></caption>
          <table>
            <thead>
              <tr>
                <th></th>
                <th colspan="2">March 19, 2020</th>
                <th colspan="2">May 27, 2020</th>
                <th colspan="2">June 9, 2020</th>
                <th colspan="2">July 7, 2020</th>
              </tr>
              <tr>
                <th>Day</th>
                <th colspan="8"></th>
              </tr>
              <tr>
                <th></th>
                <th>CAR</th>
                <th>t-test</th>
                <th>CAR</th>
                <th>t-test</th>
                <th>CAR</th>
                <th>t-test</th>
                <th>CAR</th>
                <th>t-test</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>T−3</td>
                <td>−9.0286%</td>
                <td>−1.4846</td>
                <td>6.8128%</td>
                <td>0.8167</td>
                <td>−8.8953%</td>
                <td>−0.9049</td>
                <td>2.9051%</td>
                <td>0.2649</td>
              </tr>
              <tr>
                <td>T−2</td>
                <td>−9.8140%</td>
                <td>−1.6138</td>
                <td>22.9955%</td>
                <td>2.7566*</td>
                <td>3.6581%</td>
                <td>0.3721</td>
                <td>5.7493%</td>
                <td>0.5242</td>
              </tr>
              <tr>
                <td>T−1</td>
                <td>−10.6073%</td>
                <td>−1.7442</td>
                <td>29.6720%</td>
                <td>3.5569*</td>
                <td>11.3780%</td>
                <td>1.1574</td>
                <td>13.0931%</td>
                <td>1.1937</td>
              </tr>
              <tr>
                <td>T0</td>
                <td>−12.2111%</td>
                <td>−2.0080*</td>
                <td>48.3457%</td>
                <td>5.7954*</td>
                <td>6.7942%</td>
                <td>0.6911</td>
                <td>15.9406%</td>
                <td>1.4533</td>
              </tr>
              <tr>
                <td>T+1</td>
                <td>−12.4638%</td>
                <td>−2.0495*</td>
                <td>58.0305%</td>
                <td>6.9564*</td>
                <td>4.7151%</td>
                <td>0.4796</td>
                <td>15.4319%</td>
                <td>1.4069</td>
              </tr>
              <tr>
                <td>T+2</td>
                <td>−17.5591%</td>
                <td>−2.8874*</td>
                <td>57.5691%</td>
                <td>6.9011*</td>
                <td>1.3469%</td>
                <td>0.1370</td>
                <td>29.0112%</td>
                <td>2.6449*</td>
              </tr>
              <tr>
                <td>T+3</td>
                <td>−13.3907%</td>
                <td>−2.2019* Notes. Denote statistical significance at 5% level.</td>
                <td>59.3510%</td>
                <td>7.1147*</td>
                <td>−3.0188%</td>
                <td>−0.3071</td>
                <td>36.8986%</td>
                <td>3.3640*</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <fig id="fig16">
          <label>Figure 16</label>
          <caption><title>Supermax’s Cumulative Abnormal Returns (CAR) during the Event Window 70% 60% 50% 40% 30% 20% 10% 0% -10% -20% -30% T-3</title></caption>
        </fig>
      </sec>
    </sec>
    <sec id="sec5">
      <title>TREND ANALYSIS</title>
      <p>The study observed a marked distinction in the strategies and timing of these announcements between established glove manufacturers and non-glove companies. Glove companies, leveraging their existing expertise and infrastructure, initiated expansion plans earlier, primarily focusing on land acquisitions to scale up production. This proactive approach aligned with the heightened demand for medical gloves, enabling them to capitalize on market opportunities swiftly. Non-glove companies, in contrast, ventured into the glove industry as a diversification strategy. Their announcements, centered around fundraising and joint ventures, reflected the significant capital investment and strategic partnerships required to pivot into this new domain. Despite their late entry, these companies demonstrated agility in adapting to market shifts, highlighting a broader trend of opportunistic business strategies during crises. From June to September 2020, a notable surge in glove-related announcements corresponded with the FBM Ace Index’s performance uptick. This period marked heightened investor interest and activity, underlining the market’s perception of the glove sector as a lucrative investment amid the pandemic. Both glove and non-glove companies witnessed similar CARs, indicating that investors were equally responsive to both groups, regardless of their initial market positioning. This analysis underscores the dynamic nature of stock markets in crisis situations, where swift adaptation, strategic announcements, and investor perception play pivotal roles in shaping market trends. It also highlights the glove industry’s unique position during the pandemic, serving as a barometer for investor sentiment and market reactivity in unprecedented times. This study’s observation of established glove manufacturers leveraging existing infrastructure aligns with Ramelli et al. (2020), which emphasizes the advantage of existing industry footholds in crisis adaptation. Conversely, non-glove companies’ entry as a diversification strategy reflects findings in Liu et al. (2020) about investor behavior in diverse market conditions, highlighting how new entrants can spur investor interest even when pivoting late into a high-demand market. Stock Market Reaction to Expansion and Diversification Plans During March to September 2020, the stock market reacted distinctly to announcements by glove and non-glove companies. Despite similar levels of investor interest overall, as indicated by the CAR ranging between −50% and +50%, a deeper analysis revealed nuanced differences. Glove companies, capitalizing on their industry expertise, received a mix of reactions, with some negative responses possibly due to market saturation or investor skepticism about sustained growth. Non-glove companies, diversifying into gloves, generally garnered positive reactions, reflecting investor enthusiasm for strategic adaptability and new opportunities in a high-demand market. This variation in responses underscores the complexity of market perceptions regarding expansion and diversification strategies during the pandemic. The mixed reactions to glove companies’ expansion plans, contrasted with the positive reception of non-glove companies’ diversification, highlight the complexity of investor perceptions. Altig et al. (2020) found that the COVID-19 pandemic caused significant jumps in economic uncertainty indicators, such as implied stock market volatility and forecaster disagreement about GDP growth. This heightened uncertainty can lead investors to be skeptical about expansions in already familiar territories due to concerns about market saturation or the sustainability of demand. Conversely, diversification into new areas can be seen as a strategic move, generating optimism and positive investor responses due to the potential for new opportunities and income streams in high-demand markets. Varied Reactions to Different Announcement Types Announcements from glove companies, primarily focused on expansion activities like land acquisitions, elicited mixed reactions, potentially due to market expectations and existing industry presence. In contrast, non-glove companies announcing diversification and fundraising efforts generally received more positive responses, indicating investor support for strategic shifts in response to pandemic-driven market opportunities. This theme highlights the market’s differentiated response based on the nature of the announcement and the company’s original industry positioning. The differentiated market responses discussed here align with Mazur et al. (2021). Their work underlines how the market distinguishes between expansions by established companies and strategic shifts by new market entrants, impacting investor reactions. They observed that during crises, the stock market tends to reward companies that demonstrate adaptability and strategic innovation. This is particularly evident in industries experiencing rapid demand shifts, such as the glove industry during the COVID-19 pandemic. Established glove manufacturers, with their existing market footholds, elicited mixed reactions from investors who were cautious about over-saturation and long-term sustainability. Conversely, non-glove companies entering the glove market as a diversification strategy were generally met with positive investor sentiment, reflecting a market preference for new growth opportunities and strategic agility in uncertain times. This nuanced understanding of investor behavior emphasizes the importance of strategic communication and timely market entry, highlighting the complex interplay between company announcements and investor expectations during unprecedented events.</p>
      <sec id="sec5-1">
        <title>Materiality of Glove-Related Announcements</title>
        <p>Regarding the materiality of announcements, glove companies’ expansions were viewed as material but elicited mixed reactions, possibly due to market familiarity with these companies. In contrast, non-glove companies’ diversification into glove production was seen as a significant strategic shift, often receiving positive market reactions. This suggests that the materiality of announcements was perceived differently based on the company’s existing market role, with new entrants being viewed as bringing fresh dynamics to the industry. The perceived materiality of announcements, as noted here, echoes the themes in Mazur et al. (2021)’s study. The study demonstrates how market role influences the perceived significance of corporate strategies, affecting how investors respond to these announcements. Notwithstanding the above, the study diverges from referenced academic works by providing a realtime analysis of market reactions specifically during the COVID-19 pandemic, a unique and unprecedented event. While previous studies like those by Ramelli and Wagner (2020), Liu et al. (2020), and Mazur et al. (2021) offer insights into investor behavior and market dynamics in general or crisis scenarios, our research specifically contextualizes these behaviors within the pandemic’s unique circumstances. It adds value by examining the immediate impacts of strategic business decisions in a rapidly evolving situation, providing a contemporary understanding of market dynamics under extreme external pressures. This contributes a timely perspective to the existing body of knowledge, particularly in understanding investor behavior and market reactions to crisis-driven industry shifts.</p>
      </sec>
    </sec>
    <sec id="sec6">
      <title>CONCLUSION</title>
      <p>The study reveals a nuanced relationship between stock market reactions and glove-related announcements during the COVID-19 pandemic. Glove companies, often part of the KLCI and with substantial market capitalizations, saw more significant stock market reactions to their announcements, reflecting investor confidence in their expansion plans and established reputation. However, these announcements also garnered negative reactions, possibly due to concerns about the sustainability of demand and market dynamics, such as vaccine development and raw material costs. Non-glove companies, diversifying into the glove sector, experienced less significant market reactions overall. Initial announcements typically saw a positive response, driven by optimism for new income streams and short-term trading gains. This suggests that the first announcement changes the information landscape, impacting subsequent investor reactions. The study underscores the materiality of gloverelated announcements in investor decision-making, highlighting the varying degrees of impact based on the nature of the announcement and the company’s existing market role. For future research, this study opens avenues for understanding stock price movements and trading behaviors in response to company announcements. Areas such as volatility and trading volume, company-specific variables, and investor profiles offer rich grounds for further exploration. In addition, the findings can inform companies, stock exchanges, regulators, and investors, enhancing announcement content and decision-making processes.</p>
    </sec>
  </body>
  <back>
    <ack>
      <title>ACKNOWLEDGMENT</title>
      <p>This research did not receive any specific grant from any funding agency in the public, commercial, or not-for-profit organizations.</p>
    </ack>
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