EconPapers    
Economics at your fingertips  
 

Calendar anomalies in the Malaysian stock market

Ricky Chia (), Venus Liew and Syed Azizi Wafa Syed Khalid Wafa

MPRA Paper from University Library of Munich, Germany

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.

Keywords: calendar anomalies; Malaysia; stock market; GARCH models; day-of-the-week effect; month-of-the-year effect (search for similar items in EconPapers)
JEL-codes: C50 G14 (search for similar items in EconPapers)
Date: 2006-09-19
New Economics Papers: this item is included in nep-mst, nep-rmg and nep-sea
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/516/1/MPRA_paper_516.pdf original version (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:516

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().

 
Page updated 2025-03-19
Handle: RePEc:pra:mprapa:516