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Are there Monday effects in Stock Returns: A Stochastic Dominance Approach

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  • Yoon-Jae Whang
  • Young-Hyun Cho
  • Oliver Linton

Abstract

We 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

Suggested Citation

  • Yoon-Jae Whang & Young-Hyun Cho & Oliver Linton, 2006. "Are there Monday effects in Stock Returns: A Stochastic Dominance Approach," FMG Discussion Papers dp568, Financial Markets Group.
    • Handle: RePEc:fmg:fmgdps:dp568
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    1. 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.
    2. Oliver Linton & Esfandiar Maasoumi & Yoon-Jae Whang, 2005. "Consistent Testing for Stochastic Dominance under General Sampling Schemes," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(3), pages 735-765.
    3. Wang, Ko & Li, Yuming & Erickson, John, 1997. "A New Look at the Monday Effect," Journal of Finance, American Finance Association, vol. 52(5), pages 2171-2186, December.
    4. Kamara, Avraham, 1997. "New Evidence on the Monday Seasonal in Stock Returns," The Journal of Business, University of Chicago Press, vol. 70(1), pages 63-84, January.
    5. 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.
    6. repec:bla:jfinan:v:58:y:2003:i:5:p:1905-1932 is not listed on IDEAS
    7. Seyhun, H. Nejat, 1993. "Can Omitted Risk Factors Explain the January Effect? A Stochastic Dominance Approach," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 28(2), pages 195-212, June.
    8. G. Hanoch & H. Levy, 1969. "The Efficiency Analysis of Choices Involving Risk," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 36(3), pages 335-346.
    9. Thierry Post, 2003. "Empirical Tests for Stochastic Dominance Efficiency," Journal of Finance, American Finance Association, vol. 58(5), pages 1905-1931, October.
    10. Jorge Brusa & Pu Liu & Craig Schulman, 2003. "The Weekend and 'Reverse' Weekend Effects: An Analysis by Month of the Year, Week of the Month, and Industry," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 30(5-6), pages 863-890.
    11. Hadar, Josef & Russell, William R, 1969. "Rules for Ordering Uncertain Prospects," American Economic Review, American Economic Association, vol. 59(1), pages 25-34, March.
    12. French, Kenneth R., 1980. "Stock returns and the weekend effect," Journal of Financial Economics, Elsevier, vol. 8(1), pages 55-69, March.
    13. Russell Davidson & Jean-Yves Duclos, 2000. "Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality," Econometrica, Econometric Society, vol. 68(6), pages 1435-1464, November.
    14. Rogalski, Richard J, 1984. "New Findings Regarding Day-of-the-Week Returns over Trading and Non-trading Periods: A Note," Journal of Finance, American Finance Association, vol. 39(5), pages 1603-1614, December.
    15. Barberis, Nicholas & Shleifer, Andrei & Vishny, Robert, 1998. "A model of investor sentiment," Journal of Financial Economics, Elsevier, vol. 49(3), pages 307-343, September.
    16. Fama, Eugene F, 1991. "Efficient Capital Markets: II," Journal of Finance, American Finance Association, vol. 46(5), pages 1575-1617, December.
    17. Lakonishok, Josef & Levi, Maurice, 1982. "Weekend Effects on Stock Returns: A Note," Journal of Finance, American Finance Association, vol. 37(3), pages 883-889, June.
    18. J. Andrew Coutts & Peter Hayes, 1999. "The weekend effect, the Stock Exchange Account and the Financial Times Industrial Ordinary Shares Index: 1987-1994," Applied Financial Economics, Taylor & Francis Journals, vol. 9(1), pages 67-71.
    19. Jorge Brusa & Pu Liu & Craig Schulman, 2003. "The Weekend and ‘Reverse’ Weekend Effects: An Analysis by Month of the Year, Week of the Month, and Industry," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 30(5‐6), pages 863-890, June.
    20. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    21. Steeley, James M., 2001. "A note on information seasonality and the disappearance of the weekend effect in the UK stock market," Journal of Banking & Finance, Elsevier, vol. 25(10), pages 1941-1956, October.
    22. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    23. Rothschild, Michael & Stiglitz, Joseph E., 1970. "Increasing risk: I. A definition," Journal of Economic Theory, Elsevier, vol. 2(3), pages 225-243, September.
    24. Seyed Mehdian & Mark J. Perry, 2001. "The Reversal of the Monday Effect: New Evidence from US Equity Markets," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 28(7&8), pages 1043-1065.
    25. Seyed Mehdian & Mark J. Perry, 2001. "The Reversal of the Monday Effect: New Evidence from US Equity Markets," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 28(7‐8), pages 1043-1065, September.
    26. Gibbons, Michael R & Hess, Patrick, 1981. "Day of the Week Effects and Asset Returns," The Journal of Business, University of Chicago Press, vol. 54(4), pages 579-596, October.
    27. Peter Reinhard Hansen & Asger Lunde & James M. Nason, 2005. "Testing the significance of calendar effects," FRB Atlanta Working Paper 2005-02, Federal Reserve Bank of Atlanta.
    28. Peter Fortune, 1998. "Weekends can be rough: revisiting the weekend effect in stock prices," Working Papers 98-6, Federal Reserve Bank of Boston.
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    More about this item

    Keywords

    efficient markets; stock market anomalies; subsamplingjel classification: c12; c14; c15; g13; g14;
    All these keywords.

    JEL classification:

    • 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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