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This paper assesses the effects of domestic football teams' performances against foreign rivals on stock market returns as well as on the return-volatility relationship. The data from Chile, Spain, Turkey and the United Kingdom support the propositions that the results of football teams in...
Persistent link: https://www.econbiz.de/10013109236
Persistent link: https://www.econbiz.de/10011587476
This study tests the presence of the day of the week effect on stock market volatility by using the S&P 500 market index during the period of January 1973 and October 1997. The findings show that the day of the week effect is present in both volatility and return equations. While the highest and...
Persistent link: https://www.econbiz.de/10012915052
This paper analyzes possible cointegration relations among the sub-indexes of the Istanbul Stock Exchange series - services sector, industry sector and financial sector - for the period from February 1, 1997 to September 24, 2003. The data is analyzed by using various methods initiated by Engle...
Persistent link: https://www.econbiz.de/10012915123
There is an emerging but important literature on the effects of sport events such as soccer on stock market returns. After a soccer team's win, agents discount future events more favorably and increase risk tolerance. Similarly, after a loss, risk tolerance decreases. This paper directly...
Persistent link: https://www.econbiz.de/10012915244
This paper examines the stock market returns and volatility relationship using US daily returns from May 26, 1952 to September 29, 2006. The empirical evidence reported here does not support the proposition that the return-volatility relationship is present and the same for each day of the week
Persistent link: https://www.econbiz.de/10012915248
This study investigates the day of the week effect on the volatility of major stock market indexes for the period of 1988 through 2002. Using a conditional variance framework, we find that the day of the week effect is present in both return and volatility equations. The highest volatility...
Persistent link: https://www.econbiz.de/10012915259