The Monday effect revisited: An alternative testing approach
AbstractThis paper questions traditional approaches for testing the Monday effect of stock returns. We propose an alternative, multiple hypothesis testing approach based on the closure test principle which controls the multiple type I error. We consider the US, the UK and the German stock markets and test Monday related pairwise comparisons of daily expected stock returns, while the probability of committing any type I error is always kept smaller than a prespecified level [alpha], for each combination of true null hypotheses. Overall, the new testing approach supports previous findings of a Monday effect for the 1970s and 1980s, in particular for the US and Germany, while it suggests that the Monday effect has vanished in the 1990s and 2000s in all three markets. The comparison of the closure test procedure, the traditional multiple t-test and the Bonferroni test, a classical multiple test procedure, shows that traditional testing may result in spurious significance while the Bonferroni test may sometimes be too conservative.
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Bibliographic InfoArticle provided by Elsevier in its journal Journal of Empirical Finance.
Volume (Year): 18 (2011)
Issue (Month): 3 (June)
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Web page: http://www.elsevier.com/locate/jempfin
Monday effect Day-of-the-week effect Multiple hypotheses testing Multiple comparisons Closed test procedures Multiple level [alpha] test;
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- French, Kenneth R., 1980. "Stock returns and the weekend effect," Journal of Financial Economics, Elsevier, vol. 8(1), pages 55-69, March.
- Sullivan, Ryan & Timmermann, Allan & White, Halbert, 2001. "Dangers of data mining: The case of calendar effects in stock returns," Journal of Econometrics, Elsevier, vol. 105(1), pages 249-286, November.
- Connolly, Robert A., 1991. "A posterior odds analysis of the weekend effect," Journal of Econometrics, Elsevier, vol. 49(1-2), pages 51-104.
- Peter Huber, 1997. "Stock market returns in thin markets: evidence from the Vienna Stock Exchange," Applied Financial Economics, Taylor & Francis Journals, vol. 7(5), pages 493-498.
- Madlener, Reinhard & Alt, Raimund, 1996. "Residential Energy Demand Analysis: An Empirical Application of the Closure Test Principle," Empirical Economics, Springer, vol. 21(2), pages 203-20.
- Chow, K. Victor & Denning, Karen C., 1993.
"A simple multiple variance ratio test,"
Journal of Econometrics,
Elsevier, vol. 58(3), pages 385-401, August.
- Tom Doan, . "CHOWDENNING: RATS procedure to perform Chow-Denning multiple variance ratio test," Statistical Software Components RTS00035, Boston College Department of Economics.
- 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.
- Honghui Chen & Vijay Singal, 2003. "Role of Speculative Short Sales in Price Formation: The Case of the Weekend Effect," Journal of Finance, American Finance Association, vol. 58(2), pages 685-706, 04.
- Dubois, M. & Louvet, P., 1996. "The day-of-the-week effect: The international evidence," Journal of Banking & Finance, Elsevier, vol. 20(9), pages 1463-1484, November.
- 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 819-35, July.
- Chang, Eric C. & Pinegar, J. Michael & Ravichandran, R., 1993. "International Evidence on the Robustness of the Day-of-the-Week Effect," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 28(04), pages 497-513, December.
- Savin, N.E., 1984. "Multiple hypothesis testing," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 14, pages 827-879 Elsevier.
- Neusser, Klaus, 1991.
"Testing the long-run implications of the neoclassical growth model,"
Journal of Monetary Economics,
Elsevier, vol. 27(1), pages 3-37, February.
- Klaus NEUSSER, 1990. "Testing the Long-Run Implications of the Neoclassical Growth Model," Vienna Economics Papers vie9002, University of Vienna, Department of Economics.
- Foster, F Douglas & Viswanathan, S, 1990. "A Theory of the Interday Variations in Volume, Variance, and Trading Costs in Securities Markets," Review of Financial Studies, Society for Financial Studies, vol. 3(4), pages 593-624.
- Peter Reinhard Hansen & Asger Lunde & James M. Nason, 2005.
"Testing the significance of calendar effects,"
2005-02, Federal Reserve Bank of Atlanta.
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