Kemeruapan Pulangan Pasaran Indeks Syariah Kuala Lumpur (KLSI): Analisis Model Garch

Authors

  • Abu Sufian Abu Bakar Fakulti Ekonomi Universiti Utara Malaysia, Malaysia
  • Hussin Abdullah Fakulti Ekonomi Universiti Utara Malaysia, Malaysia
  • Mohd. Saharudin Shakrani Fakulti Ekonomi Universiti Utara Malaysia, Malaysia
  • Hasniza Mohd. Taib Fakulti Kewangan dun Perbankan Universiti Utara Malaysia, Malaysia

DOI:

https://doi.org/10.32890/ijms2004.11.1.11

Keywords:

Kemeruapan, ARCH, GARCH, Pasaran Saham, Pulangan

Abstract

Kemeruapan pulangan saham ditakrifkan sebagai serakan terhadap purata pulangan saham atau lebih dikenali sebagai varians. Maklumat dun pengetahuan mengenai gelagat kemeruapan pulangan saham begitu penting kepada ahli ekonomi dun para penganalisis kewangan dalam menyelesaikan beberapa masalah ekonomi yang berkaitan. Poterba dun Summers (1986) telah mengaitkan pengaruh keberterusan pulangan terhadap hubungan antara perubahan kemeruapan dengan harga saham manakala Bollerslev Chou and Kroner, (1 992) pula menyatakan bahawa terdapat tiga sifat yang mempengaruhi kemeruapan pulangan saham iaitu sifat keberterusan pulangan, sifat min-varians, dun sifat hubungan tidak simetri. Sehubungan dengan itu, kajian ini menggunakan model-model keluarga ARCH untuk menganalisis gelagat kemeruapan pulangan saham lulus syariah di Bursa Saham Kuala Lumpur, Malaysia di atas kepentingannya dalam menganalisis dun meramalkan kemeruapan. Penganggar empirikal ini menggunakan data mengenai harga saham lulus syariah untuk setiap hunter, volum dagangan, lndeks Industri Dow Jones, lndeks Syariah, Indeks Komposit, Kadar Faedah Antara Bank dun Kadar Faedah Antara Bank Islam. Tempoh keseluruhan yang diambil sebagai kajian ialah dari 2 Januari 1995 hingga 13 Jun 2003. Tempoh ini kemudiannya dibahagikan pula kepada dua tempoh iaitu tempoh satu sebelum dilancarkan Indeks Syariah pada 2 Januari 1995 hingga 29 April 1999. Manakala tempoh dua merupakan tempoh selepas pelancaran Indeks Syariah iaitu 30 April 2003 hingga 13 Jun 2003.

 

Downloads

Download data is not yet available.

References

Ackert, L. FE, & Racine, M. D. (1997). The economics of conditional heterosdasticity: Evidence from Canadian and U.S. stock and futures markets. Atlantic Economic Journal, 25. 371-396.

Apergis, N., & Eleptheriou, 5. (2001). Stock returns and volatility: Evidence from the Athens stock market index. Journal of Economics and Finance, 25(1).

Bera, A. K., & Hinggins, M. L. (1993). ARCH models: Properties, estimation and testing. Journal of Economic Survey, 7. 305-362.

Berument, H., Metin-Ozcan, K. & Neyapti, B. (2001). Modelling inflation uncertainty using EGARCH: An application to Turkey. Working Paper, Ankara. Bilkent University.

Black, F. (1976), Studies in stock prices volatility changes. Pascasidang di Perjumpaan Persatuan Statistik Amerika tahun 1976: 177-181.

Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31, 307-327.

Bollerslev, T., Chou, R. ¥., & Kroner, K. F. (1992). ARCH modelling on finance: A reviews of the theory and empirical evidence. Journal of Econometrics, 52, 5-59.

Bollerslev. T., Engle, R. F. & Nelson, D. B. (1994). ARCH models, in R. F. Engle & D. L. McFadden (ed.). Handbook of Economics IV, Elsevier Science, Amsterdam, 2961—3038.

Brailsford, T. J. (1996). The empirical relationship between trading volume, returns and volatility. Journal of Accounting and Finance, 89-111.

Chou, R. Y. (1988). Volatility persistence and stock valuations: Some empirical evidence. Journal of Applied Econometrics, 3, 279-294.

Christie, A. A. (1982). The stochastic behavior of common stock variances. Journal of Financial Economics, 10, 407-432.

Diebold, F. X., & Nerlove, M. (1989). The dynamics of exchange rate volatility: A multivariate latent factor ARCH models. Journal Applied Econometris, 4, 1-21.

Engle, R. F., & Gonzalez-Rivera, G. (1991). Semiparametric ARCH models. Journal of Business & Economic Statistics, 9, 345-359.

Engle, R. F., Ng, V., & Rothschild, M. (1990). Asset pricing with a FACTOR-ARCH covariance structure: Empirical estimates for 198 IJMS 11 (1), 181-200 (2004) treasury bills. Journal of Econometrics, 45, 213-237.

Engle, R. F. (1982). Autoregressive conditional heteroskedasticity with estimates of the variance of U.K inflation. Econometrica, 50, 987-1008.

Gallant, A. R., & George, T. (1989). Seminonparametric estimation of conditionally constrained heterogeneous processes: Asset pricing applications. Econometrica, 57, 1091-1120.

Fauzias Mat Nor, Noor Azuddin Yaakob & Zaidi Isa. (1999). ARCH and GARCH based test on the ASEAN currencies before and during the currency turmoil. Kertas Kerja yang dibentangkan di Persidangan APFA Melbourne Australia.

French, K. R, Schwert, G. W. & Stamburgh, R. F. (1987). Expected returns and volatility, Journal of Financial Economics, 19, 3-30.

Haslindar Ibrahim, Zamri Ahmad, & Suhaimi Shahnon. (2002). KLSE syariah index: Astudy of performance and impact of delisting. Proceedings Malaysian Finance Association 4" Annual Symposium, 31st May — 1st June 2002, Bayview Beach Resort Penang.

Hooy, C. W,, & Tan, H. B. (2002). Volatility spillover effects among major Asia Pacific equity markets, Proceedings of Asia Pacific Economics and Business Conference 2002, 911-918.

Izani Ibrahim, & Mohd Abdullah Jusoh. (2001). The causes of stock market volatility in Malaysia. Proceedings of The Malaysian Finance Association. 3rd Annual Simposium. UIAM.

Lamoureux, C. G., & Lastrapes, W, (1990). Heteroskedasticity in stock return data: Volume versus GARCH effects. The Journal of Finance, XLV, 221-229

Masulis, R. W, & Ng, V.K. (1995). Overninght and daytime stock-return dynamics in the London stock exchange: The impacts of “Big Bang” and the 1987 stock-market crash. Journal of Business and Economic Statistics, 13, 465-78

Medeiros, M. C., & Veiga, A. (2001). Are there multiple regimes in financial volatility? Department of Economics, University of Rio de Janeiro, Seminar in Finance.

Mohd Hasimi Yaakob & Noor Azuddin Yaacob. (2001), A study on portfolio diversification using Islamic approved stocks in Malaysia. Proceedings Malaysian Finance Association 4" Annual Symposium, 31st May — 1st June 2002, Bayview Beach Resort Penang.

Morelli, D. (2002). The relationship between conditional stock market volatility and conditional macroeconomic volatility: Empirical evidence based on UK data. International Review of Financial Analysis I, 2002, 101-110. LIMS 11 (1), 181-200 (2004) 199

Nelson, D. B. (1991). Conditional Heteroskedasticity in Asset Returns: Anew approach. Econometrica, 59(2), 347-370,

Othman Yong & Zaidi Isa. (1999). Exchange rate changes and stock market reactions. A special case of currency depreciation and its influence on the local stock market. The Malaysia experi-ence. Kertas Kerja yang dibentangkan di Bengkel Persatuan Kewangan Malaysia (MEA) UKM.

Poterba, J. M., & Summers, L. H. (1986). The persistence of volatility and stock market fluctuations. The American Economics Re-view, 76, 1142-1151.

Sanep Ahmad & Zamzuri Abdul Aziz. (2003), Perbandingan kemeruapan antara saham syariah dan saham konvensional. Prosiding Seminar Kebangsaan 2003. Dasar Awam Dalam Era Globalisasi: Penilaian Semula Ke Arah Pemantapan Strategi. Fakulti Ekonomi UKM.

Schwert, G. W., & Seguin, P. J. (1990). Heteroskedasticity in stock re-turns. Journal of Finance, 1129-1155.

Schwert, G. W., (1989), Why does stock market volatility change over time. The Journal of Finance, XLIV. 1115 = 1153.

Tang, K. M., & Gannon, G. L. (1998). Modelling volatility in the Malaysian stock market. Asia Pacific Journal of Finance, 1 (2), 155-190. 200 WMS 11 (1), 181-200 (2004)

Downloads

Published

05-06-2004

Research impact

Harvested 2026-09-08
2 citations, from Semantic Scholar — the highest of the sources checked

Counts differ between services because each indexes a different body of literature. None of them is the whole picture.

Identifiers DOI 10.32890/ijms2004.11.1.11 OpenAlex W7010574180 Semantic Scholar CorpusID 151144036

Most read articles by the same author(s)