Day-Of-The Week effects and stock market volatility in Malaysian Stock Exchange / Donna Debra Banati

There are many researchers that still debate about the market anomalies specifically in calendar effect anomalies with different results of their analysis. This research paper is designed to study whether there is a day that induces higher stock market return and high volatility. The daily data samp...

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Bibliographic Details
Main Author: Banati, Donna Debra
Format: Student Project
Language:English
Published: 2016
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/74517/1/74517.pdf
https://ir.uitm.edu.my/id/eprint/74517/
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Summary:There are many researchers that still debate about the market anomalies specifically in calendar effect anomalies with different results of their analysis. This research paper is designed to study whether there is a day that induces higher stock market return and high volatility. The daily data sample taken for five years start from January 2010 until December 2014. The method that used to measure the return and volatility are Ordinary Least Square and Autoregressive Conditional Heteroscedasticity (ARCH) model respectively. Other test also used to determine the unit root, heteroscedasticity and autocorrelation also in order to avoid the economic problem occur in this study. It is found that day of the week effects exist of in Malaysia whereby there is abnormal return in a particular day for the week. The results show that Tuesday has significant positive and Monday has significant negative value support the study done by Abidin & Mahmood, (2007) that also done in Malaysian stock exchange. It also found that highest returns occur on Tuesday and lowest returns occur on Monday. These findings contradicted with latest study done by Muhammad and Rahman in 2010 whereby the particular day that have significant impact to day of the week effect is Monday and Friday. However, it supports the findings that Monday has the lowest average return. Positive value found in Tuesday is due to active stock buying in Monday and caused drop in stock price on Tuesday.