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Technical trading rules and calendar anomalies -- Are they the same phenomena?

Author

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  • Atanasova, Christina V.
  • Hudson, Robert S.

Abstract

The predictive ability of technical trading rules and the presence of calendar anomalies are well known, but theoretically anomalous, features of equity markets. We show that while some rules exploit calendar effects they are primarily being driven by other factors.

Suggested Citation

  • Atanasova, Christina V. & Hudson, Robert S., 2010. "Technical trading rules and calendar anomalies -- Are they the same phenomena?," Economics Letters, Elsevier, vol. 106(2), pages 128-130, February.
  • Handle: RePEc:eee:ecolet:v:106:y:2010:i:2:p:128-130
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    References listed on IDEAS

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    1. Hendrik Bessembinder & Kalok Chan, 1998. "Market Efficiency and the Returns to Technical Analysis," Financial Management, Financial Management Association, vol. 27(2), Summer.
    2. Ratner, Mitchell & Leal, Ricardo P. C., 1999. "Tests of technical trading strategies in the emerging equity markets of Latin America and Asia," Journal of Banking & Finance, Elsevier, vol. 23(12), pages 1887-1905, December.
    3. Andrew W. Lo & Harry Mamaysky & Jiang Wang, 2000. "Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical Implementation," Journal of Finance, American Finance Association, vol. 55(4), pages 1705-1770, August.
    4. Ryan Sullivan & Allan Timmermann & Halbert White, 1999. "Data-Snooping, Technical Trading Rule Performance, and the Bootstrap," Journal of Finance, American Finance Association, vol. 54(5), pages 1647-1691, October.
    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. Day, Theodore E. & Wang, Pingying, 2002. "Dividends, nonsynchronous prices, and the returns from trading the Dow Jones Industrial Average," Journal of Empirical Finance, Elsevier, vol. 9(4), pages 431-454, November.
    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. 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.
    9. French, Kenneth R., 1980. "Stock returns and the weekend effect," Journal of Financial Economics, Elsevier, vol. 8(1), pages 55-69, March.
    10. Peter Hansen & Asger Lunde, 2003. "Testing the Significance of Calendar Effects," Working Papers 2003-03, Brown University, Department of Economics.
    11. Gallant, A Ronald & Rossi, Peter E & Tauchen, George, 1992. "Stock Prices and Volume," Review of Financial Studies, Society for Financial Studies, vol. 5(2), pages 199-242.
    12. Bokhari, Jawaad & Cai, Charlie & Hudson, Robert & Keasey, Kevin, 2005. "The predictive ability and profitability of technical trading rules: does company size matter?," Economics Letters, Elsevier, vol. 86(1), pages 21-27, January.
    13. Brock, William & Lakonishok, Josef & LeBaron, Blake, 1992. " Simple Technical Trading Rules and the Stochastic Properties of Stock Returns," Journal of Finance, American Finance Association, vol. 47(5), pages 1731-1764, December.
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    Citations

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    Cited by:

    1. Viktor Manahov & Robert Hudson, 2013. "New Evidence of Technical Trading Profitability," Economics Bulletin, AccessEcon, vol. 33(4), pages 2493-2503.
    2. Urquhart, Andrew & Gebka, Bartosz & Hudson, Robert, 2015. "How exactly do markets adapt? Evidence from the moving average rule in three developed markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 38(C), pages 127-147.
    3. Gebka, Bartosz & Hudson, Robert S. & Atanasova, Christina V., 2015. "The benefits of combining seasonal anomalies and technical trading rules," Finance Research Letters, Elsevier, vol. 14(C), pages 36-44.
    4. Urquhart, Andrew & McGroarty, Frank, 2014. "Calendar effects, market conditions and the Adaptive Market Hypothesis: Evidence from long-run U.S. data," International Review of Financial Analysis, Elsevier, vol. 35(C), pages 154-166.
    5. Shynkevich, Andrei, 2012. "Performance of technical analysis in growth and small cap segments of the US equity market," Journal of Banking & Finance, Elsevier, vol. 36(1), pages 193-208.
    6. repec:eee:reveco:v:53:y:2018:i:c:p:168-184 is not listed on IDEAS
    7. repec:blg:journl:v:12:y:2017:i:1:p:95-109 is not listed on IDEAS

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