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Calendar anomalies in the Malaysian stock market

  • Chia, Ricky Chee-Jiun
  • Liew, Venus Khim-Sen
  • Syed Khalid Wafa, Syed Azizi Wafa

This study examines the calendar anomalies in the Malaysian stock market. Using various generalized autoregressive conditional heteroskedasticity models; this study reveals the different anomaly patterns in this market for before, during and after the Asian financial crisis periods. Among other important findings, the evidence of negative Monday returns in post-crisis period is consistent with the related literature. However, this study finds no evidence of a January effect or any other monthly seasonality. The current empirical findings on the mean returns and their volatility in the Malaysian stock market could be useful in designing trading strategies and drawing investment decisions. For instance, as there appears to be no month-of-the-year effect, long-term investors may adopt the buy-and-hold strategy in the Malaysia stock market to obtain normal returns. In contrast, to obtain abnormal profit, investors have to deliberately looking for short-run misaligned price due to varying market volatility based on the finding of day-of-the-week effect. Besides, investors can use the day-of-the-week effect information to avoid and reduce the risk when investing in the Malaysian stock market. Further analysis using EGARCH and TGARCH models uncovered that asymmetrical market reactions on the positive and negative news, rendering doubts on the appropriateness of the previous research that employed GARCH and GARCH-M models in their analysis of calendar anomalies as the later two models assume asymmetrical market reactions.

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File URL: https://mpra.ub.uni-muenchen.de/516/1/MPRA_paper_516.pdf
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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 516.

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Date of creation: 19 Sep 2006
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Handle: RePEc:pra:mprapa:516
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  1. Jang, Hoyoon & Sul, Wonsik, 2002. "The Asian financial crisis and the co-movement of Asian stock markets," Journal of Asian Economics, Elsevier, vol. 13(1), pages 94-104.
  2. Chris Brooks & Gita Persand, 2001. "Seasonality in Southeast Asian stock markets: some new evidence on day-of-the-week effects," Applied Economics Letters, Taylor & Francis Journals, vol. 8(3), pages 155-158.
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  7. Brian Lucey, 2000. "Anomalous daily seasonality in Ireland?," Applied Economics Letters, Taylor & Francis Journals, vol. 7(10), pages 637-640.
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  12. Zakoian, Jean-Michel, 1994. "Threshold heteroskedastic models," Journal of Economic Dynamics and Control, Elsevier, vol. 18(5), pages 931-955, September.
  13. Gibbons, Michael R & Hess, Patrick, 1981. "Day of the Week Effects and Asset Returns," The Journal of Business, University of Chicago Press, vol. 54(4), pages 579-96, October.
  14. N. A. Niarchos & C. A. Alexakis, 2003. "Intraday stock price patterns in the Greek stock exchange," Applied Financial Economics, Taylor & Francis Journals, vol. 13(1), pages 13-22.
  15. Frederic S. Mishkin, 2000. "Lessons from the Asian Crisis," NBER Working Papers 7102, National Bureau of Economic Research, Inc.
  16. Choudhry, Taufiq, 1995. "Integrated-GARCH and non-stationary variances: Evidence from European stock markets during the 1920s and 1930s," Economics Letters, Elsevier, vol. 48(1), pages 55-59, April.
  17. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-70, March.
  18. Choudhry, Taufiq, 2001. "Month of the Year Effect and January Effect in Pre-WWI Stock Returns: Evidence from a Non-linear GARCH Model," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 6(1), pages 1-11, January.
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