Are there Monday effects in Stock Returns: A Stochastic Dominance Approach
AbstractWe provide a test of the Monday effect in daily stock index returns. Unlike previous studies we define the Monday effect based on the stochastic dominance criterion. This is a stronger criterion than those based on comparing means used in previous work and has a well defined economic meaning. We apply our test to a number of stock indexes including large caps and small caps as well as UK and Japanese indexes. We find strong evidence of a Monday effect in many cases under this stronger criterion. The effect has reversed or weakened in the�Dow Jones and S&P 500 indexes post 1987,�but is still strong in more broadly based indexes like the NASDAQ, the Russell 2000 and the CRSP.Keywords: Efficient Markets; stock market anomalies; subsamplingJEL Classification: C12, C14, C15, G13, G14�
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Bibliographic InfoPaper provided by Financial Markets Group in its series FMG Discussion Papers with number dp568.
Date of creation: Sep 2006
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- Cho, Young-Hyun & Linton, Oliver & Whang, Yoon-Jae, 2007. "Are there Monday effects in stock returns: A stochastic dominance approach," Journal of Empirical Finance, Elsevier, vol. 14(5), pages 736-755, December.
- Young-Hyun Cho & Oliver Linton & Yoon-Jae Whang, 2006. "Are there Monday effects in stock returns: a stochastic dominance approach," LSE Research Online Documents on Economics 24520, London School of Economics and Political Science, LSE Library.
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
- G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
- G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
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