Predicting Financial Distress in Malaysia and Its Effect on Stock Returns
DOI:
https://doi.org/10.32890/ijbf2021.16.2.4Keywords:
Predicting financial distress, financial distress risk, stock returnsAbstract
Unstable economic conditions have an adverse impact on the financial performance of firms, leading to financial distress, which is an unfavourable situation for investors as it may affect their investment returns. Thus, this study attempted to predict financial distress and to examine the effect of financial distress on stock returns by using firms listed on Bursa Malaysia from 1990 to 2020. This study used the logit model to find the probability of bankruptcy and also as a proxy for financial distress risk in the asset pricing model. From this study, financial distress risk was found to be insignificant in pricing stock returns in all tested models. This finding demonstrates that financial distress risk does not affect stock returns since this risk may be eliminated through diversification.
References
Abdul Manab, N., Yen, N., & Md-Rus, R. (2015). The determinants of credit risk in Malaysia. Procedia - Social and Behavioral Sciences, 172, 301–308.
Abdullah, N. A., & Ahmad, A. H. H. (2005). Detecting financial distress. International Journal of Management Studies, 12(1), 77–95.
Abdullah, S. N. (2006). Board structure and ownership in Malaysia: The case of distressed listed companies. Corporate Governance, 6(5), 582–594.
Alifiah, M., & Tahir, M. (2018). Predicting financial distress companies in the manufacturing and non-manufacturing sectors in Malaysia using macroeconomic variables. Management Science Letters, 8(6), 593–604.
Altman, E. I. (1968). Financial ratios, discriminant analysis and the prediction of corporate bankruptcy. The Journal of Finance, XXIII(4), 589–609.
Bauer, J., & Agarwal, V. (2014). Are hazard models superior to traditional bankruptcy prediction approaches? A comprehensive test. Journal of Banking & Finance, 40, 432–442.
Beaver, W. H. (1966). Financial ratios as predictors of failure. Journal of Accounting Research, 71–111.
Bhunia, A., & Sarkar, R. (2011). A study of financial distress based on MDA. Journal of Management Research, 3(2), 1-11.
Boubaker, S., Hamza, T., & Vidal-García, J. (2018). Financial distress and equity returns: A leverage-augmented three-factor model. Research in International Business and Finance, 46, 1–15.
Chen, Y., Zhang, L., & Zhang, L. (2013). Financial distress prediction for Chinese listed manufacturing companies. Procedia Computer Science, 17, 678–686.
Chhapra, I. U., Zehra, I., Kashif, M., & Rehan, R. (2020). Is bankruptcy risk a systematic risk ? Evidence from Pakistan stock exchange. Etikonomi, 19(1), 51–62.
Chiaramonte, L., & Casu, B. (2016). Capital and liquidity ratios and financial distress. Evidence from the European banking industry. The British Accounting Review. doi:10.1016/j.bar.2016.04.001
Daily, C. M., & Dalton, D. R. (1994). Bankruptcy and corporate governance: The impact of board composition and structure. Academy of Management Journal, 37(6), 1603–1617.
Denis, D. J., & Denis, D. K. (1995). Causes of financial distress following leveraged recapitalizations. Journal of Financial Economics, 37(2), 129–157.
Dichev, I. D. (1998). Is the risk of bankruptcy a systematic risk? The Journal of Finance, 53(3), 1131–1147.
Elloumi, F., & Gueyié, J.-P. (2001). Financial distress and corporate governance: An empirical analysis. Corporate Governance, 1(1), 15–23.
Etemadi, H., Anvary Rostamy, A. A., & Dehkordi, H. F. (2009). A genetic programming model for bankruptcy prediction: Empirical evidence from Iran. Expert Systems with Applications, 36(2 PART 2), 3199–3207.
Fama, E. F., & French, K. R. (1995). Size and book to market factors in earnings and returns. Journal of Finance, 50(1), 131–155.
Fama, E. F., & MacBeth, J. D. (1973). Risk, return, and equilibrium: Empirical tests. The Journal of Political Economy, 81(3), 607–636.
Fich, E. M., & Slezak, S. L. (2008). Can corporate governance save distressed firms from bankruptcy? An empirical analysis. Review of Quantitative Finance and Accounting, 30(2), 225–251.
Foster, B. P., & Zurada, J. (2013). Loan defaults and hazard models for bankruptcy prediction. Managerial Auditing Journal, 28(6), 516–541.
Ganesalingam, S., & Kumar, K. (2001). Detection of financial distress via multivariate statistical analysis. Managerial Finance, 27(4), 45–55.
Gompers, P., Ishii, J., & Metrick, A. (2010). Extreme governance: An analysis of dual-class firms in the United States. Review of Financial Studies, 23(3), 1051–1088.
Griffin, J. M., & Lemmon, M. L. (2002). Book–to–market equity, distress risk, and stock returns. The Journal of Finance, LVII(5), 2317–2336.
Hassan, A., & Javed, M. T. (2011). Size and value premium in Pakistani equity market. African Journal of Business Management, 5(16), 6747.
Idrees, S., & Qayyum, A. (2018). The impact of financial distress risk on equity returns : A case study of non-financial firms of Pakistan stock exchange. Munich Personal RePEc Archive, (85346), 1–22.
Juniarti, J. (2013). Good corporate governance and predicting financial distress using logistic and probit regression model. Jurnal Akuntansi dan Keuangan, 15(1), 43–50.
Kothari, S. P., & Shanken, J. (1997). Book-to-market, dividend yield, and expected market returns: A time-series analysis. Journal of Financial Economics, 44(2), 169–203.
Lee, T., & Yeh, Y. (2004). Corporate governance and financial distress: Evidence from Taiwan. Corporate Governance, 12(3), 378–388.
Low, S. W., Nor, F. M., & Yatim, P. (2001). Predicting corporate financial distress using the logit model: The case of Malaysia. Asian Academy of Management Journal, 6(1), 49–61.
Md-Rus, R. (2011). An empirical investigation on the relationship between risk of bankruptcy and stock return. International Journal of Management Studies, 18(1), 117-134.
Md-Rus, R., & Abdullah, N. A. H. (2005). Empirical investigation of failing companies in an emerging capital market. In 16th Asian Finance Association Conference, Malaysia.
Md-Zeni, S., & Ameer, R. (2010). Turnaround prediction of distressed companies: Evidence from Malaysia. Journal of Financial Reporting and Accounting, 8(2), 143–159.
Ming, X., & Akhtar, H. (2014). Impact of corporate governance on financial distress: An evidence from Shanghai stock market an analysis based on a panel data and logit model. Interdisciplinary Journal of Contemporary Research In Business, 6(6), 1–11.
Mobarek, A., & Mollah, S. (2005). The general determinants of share returns: An empirical investigation on the Dhaka Stock exchange. Review of Pacific Basin Financial Markets and Policies (RPBFMP), 08(04), 593–612.
Mselmi, N., Hamza, T., Lahiani, A., & Shahbaz, M. (2019). Pricing corporate financial distress : Empirical evidence from the French stock market. Journal of International Money and Finance, 96, 13–27.
Nam, J.-H., & Taehong, J. (2000). Bankruptcy prediction: Evidence from Korean listed companies during the IMF crisis. Journal of International Financial Management & Accounting, 11(3).
Ohlson, J. A. (1980). Financial ratios and the probabilistic prediction of bankruptcy. Journal of Accounting Research, 18(1), 109–131.
Ong, S.-W., Yap, V. C., & Khong, R. W. L. (2011). Corporate failure prediction: A study of public listed companies in Malaysia. Managerial Finance, 37(6), 553–564.
Opler, T. C., & Titman, S. (1994). Financial distress and corporate performance. Journal of Finance, 49(3), 1015–1040.
Parker, S., Peters, G. F., & Turetsky, H. F. (2002). Corporate governance and corporate failure: A survival analysis. Corporate Governance, 2(2), 4–12.
Pindado, J., Rodrigues, L., & de la Torre, C. (2008). Estimating financial distress likelihood. Journal of Business Research, 61(9), 995–1003.
Platt, H. D., & Platt, M. B. (2008). Financial distress comparison across three global regions. Journal of Risk and Financial Management, 1(1), 129–162.
Polemis, D., & Gounopoulos, D. (2012). Prediction of distress and identification of potential M&As targets in UK. Managerial Finance, 38(11), 1085–1104.
Rashid, A., & Abbas, Q. (2011). Predicting bankruptcy in Pakistan. Theoretical & Applied Economics, 18(9), 103-128.
Reilly, F. K., & Brown, K. C. (2011). Investment analysis and portfolio management. Cengage Learning.
Sabbaghi, O. (2015). Volatility, distress risk, and the cross-section of portfolio returns. Review of Accounting and Finance, 14(2), 149–171.
Sathye, M., Bartle, J., Vincent, M., & Boffey, R. (2003). Credit analysis and lending management. John Wiley & Sons.
Shoaib, A., & Siddiqu, M. A. (2016). Quantile methods for testing the applicability of CAPM and FF-model in Pakistan. In GAI International Academic Conferences Proceedings (p. 78).
Shumway, T. (1996). Size, overreaction, and book-to-market effects as default premia. http://www-personal.umich.edu/~shumway/ papers.dir/defprm1.pdf,
Shumway, T. (2001). Forecasting bankruptcy mode accurately: A simple hazard model. The Journal of Business, 74(1), 101–124.
Simlai, P. (2014). Firm characteristics, distress risk and average stock returns. Accounting Research Journal, 27(2), 101–123.
Sori, Z. M., Hamid, M. A. A., Nassir, A. M., & Mohamad, Z. A. (2001). Forecasting corporate failure in Malaysian industrial sector firms. Asian Academy of Management Journal, 6(1), 1-16.
Sudirgo, T., Yuniarwati., & Bangun, N. (2019). Pengaruh financial distress, financial perfomance dan likuiditas terhadap stock return. Business Management Journal, 15(2), 77–92.
Tan, C. N. W., & Dihardjo, H. (2001). A study of using artificial neural networks to develop an early warning predictor for credit union financial distress with comparison to the probit model. Managerial Finance, 27(4), 56–77.
Taneja, Y. P. (2010). Revisiting fama french three-factor model in Indian stock market. Vision: The Journal of Business Perspective, 14(4), 267–274.
Thai, S. B., Goh, H. H., Teh, B. H., Wong, J. C., & Ong, T. S. (2014). A revisited of altman z-score model for companies listed in Bursa Malaysia. International Journal of Business and Social Science, 5(12), 197–207.
Tirapat, S., & Nittayagasetwat, A. (1999). An investigation of Thai listed firms’ financial distress using macro and micro variables. Multinational Finance Journal, 3(2), 103–125.
Ugurlu, M., & Aksoy, H. (2006). Prediction of corporate financial distress in an emerging market: The case of Turkey. Cross Cultural Management: An International Journal, 13(4), 277–295.
Wang, Z., & Li, H. (2007). Financial distress prediction of Chinese listed companies: A rough set methodology. Chinese Management Studies, 1(2), 93–110.
Yap, B. C. F., Munuswamy, S., & Mohamed, Z. (2012). Evaluating company failure in Malaysia using financial ratios and logistic regression. Asian Journal of Finance & Accounting, 4(1), 330–344.
Youn, H., & Gu, Z. (2010). Predicting Korean lodging firm failures: An artificial neural network model along with a logistic regression model. International Journal of Hospitality Management, 29(1), 120–127.
Zaki, E., Bah, R., & Rao, A. (2011). Assessing probabilities of financial distress of banks in UAE. International Journal of Managerial Finance, 7(3), 304–320.
Zaretzky, K., & Zumwalt, J. K. (2007). Relation between distress risk, book-to-market ratio and return premium. Managerial Finance, 33(10), 788–797.
Zhu, T. (2010). Do domestic and foreign institutional investors have similar portfolio preferences? In 2010 International Conference on Management and Service Science (pp. 1–4).
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