The Day-of-the-Week Effect Revisited: An Alternative Testing Approach
This paper questions traditional approaches for testing the day-of-the-week effect on stock returns. We propose an alternative approach based on the closure test principle introduced by Marcus, Peritz and Gabriel (1976), which has become very popular in Biometrics and Medical Statistics. We test all pairwise comparisons of daily expected stock returns, while the probability of committing any type I error is always kept smaller than or equal to some prespecified level a for each combination of true null hypotheses. We confirm day-of-theweek effects for the S&P 500, the FTSE 30 and the DAX 30 found in earlier studies, but find no evidence for the 1990's.
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- Keim, Donald B & Stambaugh, Robert F, 1984. " A Further Investigation of the Weekend Effect in Stock Returns," Journal of Finance, American Finance Association, vol. 39(3), pages 819-835, July.
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- Klaus NEUSSER, 1990. "Testing the Long-Run Implications of the Neoclassical Growth Model," Vienna Economics Papers vie9002, University of Vienna, Department of Economics.
- Madlener, Reinhard & Alt, Raimund, 1996. "Residential Energy Demand Analysis: An Empirical Application of the Closure Test Principle," Empirical Economics, Springer, vol. 21(2), pages 203-220.
- Greenstone, Michael & Oyer, Paul, 2000. "Are There Sectoral Anomalies Too? The Pitfalls of Unreported Multiple Hypothesis Testing and a Simple Solution," Review of Quantitative Finance and Accounting, Springer, vol. 15(1), pages 37-55, July.
- Connolly, Robert A., 1991. "A posterior odds analysis of the weekend effect," Journal of Econometrics, Elsevier, vol. 49(1-2), pages 51-104. Full references (including those not matched with items on IDEAS)
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