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Eastern Halloween effect: A stochastic dominance approach

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  • Chui, David
  • Wing Cheng, Wui
  • Chi Chow, Sheung
  • LI, Ya

Abstract

The Eastern market wisdom of “May is poor, June is bleak, and July will turn around” unveils an international stock markets dynamic that lower returns in May followed by even worse return in June but rebounding back to an upward trend in July. This wisdom is termed as “Eastern Halloween” effect in this paper which has some similarities with the traditional Halloween Effect. However, the traditional risk approaches fail to explain this Eastern Halloween effect satisfactorily. We apply stochastic dominance method to examine the Eastern Halloween effect and provide solid evidence of existence of Eastern Halloween effect.

Suggested Citation

  • Chui, David & Wing Cheng, Wui & Chi Chow, Sheung & LI, Ya, 2020. "Eastern Halloween effect: A stochastic dominance approach," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 68(C).
    • Handle: RePEc:eee:intfin:v:68:y:2020:i:c:s1042443120301256
    DOI: 10.1016/j.intfin.2020.101241
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    as
    1. Tinic, Seha M. & West, Richard R., 1984. "Risk and return : Janaury vs. the rest of the year," Journal of Financial Economics, Elsevier, vol. 13(4), pages 561-574, December.
    2. Cao, Melanie & Wei, Jason, 2005. "Stock market returns: A note on temperature anomaly," Journal of Banking & Finance, Elsevier, vol. 29(6), pages 1559-1573, June.
    3. Lo, Andrew W. & MacKinlay, A. Craig, 1989. "The size and power of the variance ratio test in finite samples : A Monte Carlo investigation," Journal of Econometrics, Elsevier, vol. 40(2), pages 203-238, February.
    4. Leeb, Hannes & Potscher, Benedikt M., 2008. "Sparse estimators and the oracle property, or the return of Hodges' estimator," Journal of Econometrics, Elsevier, vol. 142(1), pages 201-211, January.
    5. Clark, Ephraim & Kassimatis, Konstantinos, 2014. "Exploiting stochastic dominance to generate abnormal stock returns," Journal of Financial Markets, Elsevier, vol. 20(C), pages 20-38.
    6. Newey, Whitney K & West, Kenneth D, 1987. "Hypothesis Testing with Efficient Method of Moments Estimation," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 28(3), pages 777-787, October.
    7. Rozeff, Michael S. & Kinney, William Jr., 1976. "Capital market seasonality: The case of stock returns," Journal of Financial Economics, Elsevier, vol. 3(4), pages 379-402, October.
    8. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Working Papers 111, Princeton University, Department of Economics, Center for Economic Policy Studies..
    9. Mark J. Kamstra & Lisa A. Kramer & Maurice D. Levi, 2003. "Winter Blues: A SAD Stock Market Cycle," American Economic Review, American Economic Association, vol. 93(1), pages 324-343, March.
    10. Steven L. Heston & Robert A. Korajczyk & Ronnie Sadka, 2010. "Intraday Patterns in the Cross‐section of Stock Returns," Journal of Finance, American Finance Association, vol. 65(4), pages 1369-1407, August.
    11. Zhidong Bai & Hua Li & Michael McAleer & Wing-Keung Wong, 2015. "Stochastic dominance statistics for risk averters and risk seekers: an analysis of stock preferences for USA and China," Quantitative Finance, Taylor & Francis Journals, vol. 15(5), pages 889-900, May.
    12. Dichtl, Hubert & Drobetz, Wolfgang, 2015. "Sell in May and Go Away: Still good advice for investors?," International Review of Financial Analysis, Elsevier, vol. 38(C), pages 29-43.
    13. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Working Papers 111, Princeton University, Department of Economics, Center for Economic Policy Studies..
    14. 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.
    15. repec:pri:cepsud:91malkiel is not listed on IDEAS
    16. Asger Lunde & Peter Reinhard Hansen, 2001. "A Forecast Comparison of Volatility Models: Does Anything Beat a GARCH(1,1)?," Working Papers 2001-04, Brown University, Department of Economics.
    17. Ben Jacobsen & Nuttawat Visaltanachoti, 2009. "The Halloween Effect in U.S. Sectors," The Financial Review, Eastern Finance Association, vol. 44(3), pages 437-459, August.
    18. Heston, Steven L. & Sadka, Ronnie, 2008. "Seasonality in the cross-section of stock returns," Journal of Financial Economics, Elsevier, vol. 87(2), pages 418-445, February.
    19. Li, Fengyun & Zhang, Huacheng & Zheng, Dazhi, 2018. "Seasonality in the cross section of stock returns: Advanced markets versus emerging markets," Journal of Empirical Finance, Elsevier, vol. 49(C), pages 263-281.
    20. Lakonishok, Josef & Smidt, Seymour, 1984. "Volume and turn-of-the-year behavior," Journal of Financial Economics, Elsevier, vol. 13(3), pages 435-455, September.
    21. Chen, Jing & Chollete, Lorán & Ray, Rina, 2010. "Financial distress and idiosyncratic volatility: An empirical investigation," Journal of Financial Markets, Elsevier, vol. 13(2), pages 249-267, May.
    22. Guo, Biao & Luo, Xingguo & Zhang, Ziding, 2014. "Sell in May and Go Away: Evidence from China," Finance Research Letters, Elsevier, vol. 11(4), pages 362-368.
    23. Heston, Steven L. & Sadka, Ronnie, 2010. "Seasonality in the Cross Section of Stock Returns: The International Evidence," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 45(5), pages 1133-1160, October.
    24. Lucey, Brian M & Zhao, Shelly, 2008. "Halloween or January? Yet another puzzle," International Review of Financial Analysis, Elsevier, vol. 17(5), pages 1055-1069, December.
    25. Asger Lunde & Peter R. Hansen, 2005. "A forecast comparison of volatility models: does anything beat a GARCH(1,1)?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(7), pages 873-889.
    26. 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.
    27. Reinganum, Marc R., 1983. "The anomalous stock market behavior of small firms in January : Empirical tests for tax-loss selling effects," Journal of Financial Economics, Elsevier, vol. 12(1), pages 89-104, June.
    28. Edwin Maberly & Raylene Pierce, 2003. "The Halloween Effect and Japanese Equity Prices: Myth or Exploitable Anomaly," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 10(4), pages 319-334, December.
    29. Foster, James E. & Shorrocks, Anthony F., 1988. "Inequality and poverty orderings," European Economic Review, Elsevier, vol. 32(2-3), pages 654-661, March.
    30. 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.
    31. Chung, Kee H. & Chuwonganant, Chairat, 2018. "Market volatility and stock returns: The role of liquidity providers," Journal of Financial Markets, Elsevier, vol. 37(C), pages 17-34.
    32. Matti Keloharju & Juhani T. Linnainmaa & Peter Nyberg, 2016. "Return Seasonalities," Journal of Finance, American Finance Association, vol. 71(4), pages 1557-1590, August.
    33. Jushan Bai & Pierre Perron, 2003. "Critical values for multiple structural change tests," Econometrics Journal, Royal Economic Society, vol. 6(1), pages 72-78, June.
    34. Hong, Harrison & Yu, Jialin, 2009. "Gone fishin': Seasonality in trading activity and asset prices," Journal of Financial Markets, Elsevier, vol. 12(4), pages 672-702, November.
    35. Hadar, Josef & Russell, William R, 1969. "Rules for Ordering Uncertain Prospects," American Economic Review, American Economic Association, vol. 59(1), pages 25-34, March.
    36. Sven Bouman & Ben Jacobsen, 2002. "The Halloween Indicator, "Sell in May and Go Away": Another Puzzle," American Economic Review, American Economic Association, vol. 92(5), pages 1618-1635, December.
    37. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Journal of Economic Perspectives, American Economic Association, vol. 17(1), pages 59-82, Winter.
    38. Sidney B. Wachtel, 1942. "Certain Observations on Seasonal Movements in Stock Prices," The Journal of Business, University of Chicago Press, vol. 15, pages 184-184.
    39. Keim, Donald B., 1983. "Size-related anomalies and stock return seasonality : Further empirical evidence," Journal of Financial Economics, Elsevier, vol. 12(1), pages 13-32, June.
    40. Fong, Wai Mun & Wong, Wing Keung & Lean, Hooi Hooi, 2005. "International momentum strategies: a stochastic dominance approach," Journal of Financial Markets, Elsevier, vol. 8(1), pages 89-109, February.
    41. Rothschild, Michael & Stiglitz, Joseph E., 1970. "Increasing risk: I. A definition," Journal of Economic Theory, Elsevier, vol. 2(3), pages 225-243, September.
    42. Murtazashvili, Irina & Vozlyublennaia, Nadia, 2012. "The role of data limitations, seasonality and frequency in asset pricing models," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(3), pages 555-574.
    43. Haim Falk & Haim Levy, 1989. "Market Reaction to Quarterly Earnings' Announcements: A Stochastic Dominance Based Test of Market Efficiency," Management Science, INFORMS, vol. 35(4), pages 425-446, April.
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    More about this item

    Keywords

    Halloween effect; Sell in May and go away; Stochastic dominance;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G31 - Financial Economics - - Corporate Finance and Governance - - - Capital Budgeting; Fixed Investment and Inventory Studies
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting
    • M42 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Auditing

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