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Evolution of Price Effects After One-Day of Abnormal Returns in the US Stock Market

Author

Listed:
  • Alex Plastun

    (Faculty of Economics and Management Sumy State University, Sumy, Ukraine)

  • Xolani Sibande

    (Department of Economics, University of Pretoria, Pretoria, South Africa)

  • Rangan Gupta

    (Department of Economics, University of Pretoria, Pretoria, South Africa)

  • Mark E. Wohar

    (College of Business Administration, University of Nebraska; USA. School of Business and Economics, Loughborough University, Leicestershire)

Abstract

This paper provides a comprehensive analysis of price effects after one-day abnormal returns and their evolution in the US stock market for the case of Dow Jones Index over the period 1890-2018. Using different statistical tests (both parametrical and non-parametrical) as well as additional technics like modified cumulative abnormal returns approach, regression analysis with dummy variables, R/S analysis and a trading simulation approach; four hypotheses were tested, which are (H1): the after one-day of abnormal returns specific price effects (momentum/ contrarian) do appear; (H2): the price effects after one-day of abnormal returns vary in time and evolve; (H3): the price effects after one-day of abnormal returns can be exploited to generate profits from trading; and (H4): the level of persistence in anomalies related data set differs from the normal data set persistence. The results suggest that price effects after one-day abnormal returns during the analyzed period tend to be rather unstable both from the position of their strength and direction (momentum or contrarian effect). Between the 1940s and the 1980s a strong momentum effect after a day of positive abnormal returns was present and it was exploitable for profit. However, after the 1980s this has since disappeared. Nowadays the after one-day of abnormal returns price effects in the US stock market are rather weak and do not generate profit opportunities. The results, therefore, are consistent with the Adaptive Market Hypothesis.

Suggested Citation

  • Alex Plastun & Xolani Sibande & Rangan Gupta & Mark E. Wohar, 2020. "Evolution of Price Effects After One-Day of Abnormal Returns in the US Stock Market," Working Papers 202016, University of Pretoria, Department of Economics.
    • Handle: RePEc:pre:wpaper:202016
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    References listed on IDEAS

    as
    1. Guglielmo Maria Caporale & Luis Gil-Alana & Alex Plastun, 2019. "Long-term price overreactions: are markets inefficient?," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 43(4), pages 657-680, October.
    2. Fama, Eugene F & French, Kenneth R, 1988. "Permanent and Temporary Components of Stock Prices," Journal of Political Economy, University of Chicago Press, vol. 96(2), pages 246-273, April.
    3. Richards, Anthony J, 1997. "Winner-Loser Reversals in National Stock Market Indices: Can They Be Explained?," Journal of Finance, American Finance Association, vol. 52(5), pages 2129-2144, December.
    4. Atkins, Allen B. & Dyl, Edward A., 1990. "Price Reversals, Bid-Ask Spreads, and Market Efficiency," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 25(4), pages 535-547, December.
    5. Mynhardt, H. R. & Plastun, Alex, 2013. "The Overreaction Hypothesis: The Case of Ukrainian Stock Market," MPRA Paper 58941, University Library of Munich, Germany.
    6. Boubaker, Sabri & Farag, Hisham & Nguyen, Duc Khuong, 2015. "Short-term overreaction to specific events: Evidence from an emerging market," Research in International Business and Finance, Elsevier, vol. 35(C), pages 153-165.
    7. Caporale, Guglielmo Maria & Gil-Alana, Luis & Plastun, Alex, 2018. "Is market fear persistent? A long-memory analysis," Finance Research Letters, Elsevier, vol. 27(C), pages 140-147.
    8. Adam Zaremba, 2020. "Performance Persistence in Anomaly Returns: Evidence from Frontier Markets," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(12), pages 2852-2873, September.
    9. Guglielmo Maria Caporale & Alex Plastun, 2020. "Momentum effects in the cryptocurrency market after one-day abnormal returns," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 34(3), pages 251-266, September.
    10. Guglielmo Maria Caporale & Alex Plastun, 2019. "On stock price overreactions: frequency, seasonality and information content," Journal of Applied Economics, Taylor & Francis Journals, vol. 22(1), pages 602-621, January.
    11. Guglielmo Maria Caporale & Alex Plastun, 2019. "Price overreactions in the cryptocurrency market," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 46(5), pages 1137-1155, August.
    12. R. David Mclean & Jeffrey Pontiff, 2016. "Does Academic Research Destroy Stock Return Predictability?," Journal of Finance, American Finance Association, vol. 71(1), pages 5-32, February.
    13. De Bondt, Werner F M & Thaler, Richard, 1985. "Does the Stock Market Overreact?," Journal of Finance, American Finance Association, vol. 40(3), pages 793-805, July.
    14. Bruce N. Lehmann, 1990. "Fads, Martingales, and Market Efficiency," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 105(1), pages 1-28.
    15. Chopra, Navin & Lakonishok, Josef & Ritter, Jay R., 1992. "Measuring abnormal performance : Do stocks overreact?," Journal of Financial Economics, Elsevier, vol. 31(2), pages 235-268, April.
    16. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    17. Conrad, Jennifer & Kaul, Gautam, 1993. "Long-Term Market Overreaction or Biases in Computed Returns?," Journal of Finance, American Finance Association, vol. 48(1), pages 39-63, March.
    18. Poterba, James M. & Summers, Lawrence H., 1988. "Mean reversion in stock prices : Evidence and Implications," Journal of Financial Economics, Elsevier, vol. 22(1), pages 27-59, October.
    19. Jegadeesh, Narasimhan & Titman, Sheridan, 1993. "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
    20. Plastun, Alex & Sibande, Xolani & Gupta, Rangan & Wohar, Mark E., 2019. "Rise and fall of calendar anomalies over a century," The North American Journal of Economics and Finance, Elsevier, vol. 49(C), pages 181-205.
    21. Lasfer, M. Ameziane & Melnik, Arie & Thomas, Dylan C., 2003. "Short-term reaction of stock markets in stressful circumstances," Journal of Banking & Finance, Elsevier, vol. 27(10), pages 1959-1977, October.
    22. Kudryavtsev, Andrey, 2013. "Stock price reversals following end-of-the-day price moves," Economics Letters, Elsevier, vol. 118(1), pages 203-205.
    23. Jegadeesh, Narasimhan, 1990. "Evidence of Predictable Behavior of Security Returns," Journal of Finance, American Finance Association, vol. 45(3), pages 881-898, July.
    24. Zaremba, Adam & Kizys, Renatas & Raza, Muhammad Wajid, 2020. "The long-run reversal in the long run: Insights from two centuries of international equity returns," Journal of Empirical Finance, Elsevier, vol. 55(C), pages 177-199.
    25. Cox, Don R & Peterson, David R, 1994. "Stock Returns Following Large One-Day Declines: Evidence on Short-Term Reversals and Longer-Term Performance," Journal of Finance, American Finance Association, vol. 49(1), pages 255-267, March.
    26. Fama, Eugene F & French, Kenneth R, 1995. "Size and Book-to-Market Factors in Earnings and Returns," Journal of Finance, American Finance Association, vol. 50(1), pages 131-155, March.
    27. De Bondt, Werner F M & Thaler, Richard H, 1987. "Further Evidence on Investor Overreaction and Stock Market Seasonalit y," Journal of Finance, American Finance Association, vol. 42(3), pages 557-581, July.
    28. Brown, Keith C. & Harlow, W. V. & Tinic, Seha M., 1988. "Risk aversion, uncertain information, and market efficiency," Journal of Financial Economics, Elsevier, vol. 22(2), pages 355-385, December.
    29. Kevin Campbell & Robin Limmack, 1997. "Long-term over-reaction in the UK stock market and size adjustments," Applied Financial Economics, Taylor & Francis Journals, vol. 7(5), pages 537-548.
    30. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    31. Grant, James L. & Wolf, Avner & Yu, Susana, 2005. "Intraday price reversals in the US stock index futures market: A 15-year study," Journal of Banking & Finance, Elsevier, vol. 29(5), pages 1311-1327, May.
    32. A. Craig MacKinlay, 1997. "Event Studies in Economics and Finance," Journal of Economic Literature, American Economic Association, vol. 35(1), pages 13-39, March.
    33. Dyl, Edward A. & Yuksel, H. Zafer & Zaynutdinova, Gulnara R., 2019. "Price reversals and price continuations following large price movements," Journal of Business Research, Elsevier, vol. 95(C), pages 1-12.
    34. Benoit B. Mandelbrot, 1972. "Statistical Methodology for Nonperiodic Cycles: From the Covariance To R/S Analysis," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 1, number 3, pages 259-290, National Bureau of Economic Research, Inc.
    35. Zarowin, Paul, 1990. "Size, Seasonality, and Stock Market Overreaction," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 25(1), pages 113-125, March.
    36. Bremer, Marc & Sweeney, Richard J, 1991. "The Reversal of Large Stock-Price Decreases," Journal of Finance, American Finance Association, vol. 46(2), pages 747-754, June.
    37. Blackburn, Douglas W. & Cakici, Nusret, 2017. "Overreaction and the cross-section of returns: International evidence," Journal of Empirical Finance, Elsevier, vol. 42(C), pages 1-14.
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    2. Alex Plastun & Xolani Sibande & Rangan Gupta & Qiang Ji, 2022. "Price Effects After One-Day Abnormal Returns and Crises in the Stock Markets," Working Papers 202222, University of Pretoria, Department of Economics.
    3. Weng Hoe Lam & Weng Siew Lam & Kah Fai Liew & Pei Fun Lee, 2023. "Decision Analysis on the Financial Performance of Companies Using Integrated Entropy-Fuzzy TOPSIS Model," Mathematics, MDPI, vol. 11(2), pages 1-18, January.

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    More about this item

    Keywords

    Overreaction; Momentum Effect; Contrarian Effect; Abnormal Returns; Stock Market; Dow Jones Index;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

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