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return and volatility equations. When using the GARCH (1,1) specification only for the return equation and the Modified …-GARCH (1,1) specification for both the return and volatility equations, findings indicate that the day of the week effect is …
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This study attempts to investigate the effects of calendar anomalies (Ramadan effect), a seasonal pattern in the Pakistani equity market. It is believed that the holy month of Ramadan is predicted to effect the behaviour of the Karachi Stock Exchange (KSE) since the environment in the country...
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The main purpose of this paper is to examine the day of the week effect on stock market return and volatility in Dhaka … volatility. The results show that highest and lowest returns are observed on Tuesday and Sunday, respectively based on GARCH (1 …,1), TGARCH (1,1), and EGARCH (1,1) model. And highest and lowest volatility are observed on Thursday and Sunday, respectively …
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This study examines the January anomaly at the industry level in the emerging Istanbul Stock Exchange (ISE). Analyses of the data from 1986 through 2007 provide evidence for the anomaly. There is also strong evidence that the anomaly has partially shifted to December of the previous year....
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