Chia, Ricky Chee-Jiun and Liew, Venus Khim-Sen and Syed Khalid Wafa, Syed Azizi Wafa (2006): Calendar anomalies in the Malaysian stock market.
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Abstract
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.
Item Type: | MPRA Paper |
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Original Title: | Calendar anomalies in the Malaysian stock market |
Language: | English |
Keywords: | calendar anomalies; Malaysia; stock market; GARCH models; day-of-the-week effect; month-of-the-year effect |
Subjects: | G - Financial Economics > G1 - General Financial Markets > G14 - Information and Market Efficiency ; Event Studies ; Insider Trading C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C50 - General |
Item ID: | 516 |
Depositing User: | Venus Khim-Sen Liew |
Date Deposited: | 19 Oct 2006 |
Last Modified: | 26 Sep 2019 13:43 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/516 |