2008Zhongguo guanli kexueRequires access

The Day-of-the-Week Effect on Stock Return and Volatility in China: Empirical Evidence from Modified GARCH Model

Zhang Zong-cheng

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Abstract

This paper investigates the day-of-the-week effect on stock return and volatility in China during the period of 2000 to 2006.Under modified GARCH framework,we find that the lowest and the highest return are present on Thursday and Tuesday for both Shanghai and Shenzhen markets,respectively.The lowest volatility is observed on Tuesday for both markets,whereas the highest volatility occurs on Monday for Shenzhen and on Wednesday for Shanghai.We also find there is significantly positive relationship between expected returns and market risk.Two explanations for the day-of-the-week effect are provided in the end of the paper.

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What this paper is about

This paper investigates the day-of-the-week effect on stock return and volatility in China during the period of 2000 to 2006.Under modified GARCH framework,we find that the lowest and the highest return are present on Thursday and Tuesday for both Shanghai and Shenzhen markets,respectively.The lowest volatility is observed on Tuesday for both markets,whereas the highest volatility occurs on Monday for Shenzhen and on Wednesday for Shanghai.We also find there is significantly positive relationship between expected returns and market risk.Two explanations for the day-of-the-week effect are provided in the end of the paper.

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Available abstract

This paper investigates the day-of-the-week effect on stock return and volatility in China during the period of 2000 to 2006.Under modified GARCH framework,we find that the lowest and the highest return are present on Thursday and Tuesday for both Shanghai and Shenzhen markets,respectively.The lowest volatility is observed on Tuesday for both markets,whereas the highest volatility occurs on Monday for Shenzhen and on Wednesday for Shanghai.We also find there is significantly positive relationship between expected returns and market risk.Two explanations for the day-of-the-week effect are provided in the end of the paper.

Key concepts: Thursday, Volatility (finance), Names of the days of the week, Autoregressive conditional heteroskedasticity, Economics, Stock (firearms), Financial economics, China

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