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The Success Of Stock Selection Strategies In Emerging Markets: Is It Risk Or Behavioral Bias?

Author

Listed:
  • van der Hart, J.
  • de Zwart, G.J.
  • van Dijk, D.J.C.
Abstract
We examine competing explanations, based on risk and behavioral models, for the profitability of stock selection strategies in emerging markets. We document that both emerging market risk and global risk factors cannot account for the significant excess returns of selection strategies based on value, momentum and earnings revisions indicators. The findings for value and momentum strategies are consistent with the evidence from developed markets supporting behavioral explanations. In addition, for value stocks, the most important behavioral bias appears to be related to underestimation of long-term growth prospects, as indicated by overly pessimistic analysts' earnings forecasts and above average earnings revisions for longer postformation horizons and by quite rapidly improving earnings growth expectations. Furthermore, we find that overreaction effects play a limited role for the earnings revisions strategy, as there is no clear return reversal up until five years after portfolio formation, setting this strategy apart from momentum strategies.

Suggested Citation

  • van der Hart, J. & de Zwart, G.J. & van Dijk, D.J.C., 2005. "The Success Of Stock Selection Strategies In Emerging Markets: Is It Risk Or Behavioral Bias?," ERIM Report Series Research in Management ERS-2005-012-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    • Handle: RePEc:ems:eureri:1922
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    References listed on IDEAS

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    Cited by:

    1. Emilios C. C Galariotis, 2010. "What should investors know about the stability of momentum investing and its riskiness? The case of the Australian Security Exchange," Post-Print hal-00917587, HAL.
    2. Hanauer, Matthias X. & Kalsbach, Tobias, 2023. "Machine learning and the cross-section of emerging market stock returns," Emerging Markets Review, Elsevier, vol. 55(C).
    3. Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, December.
    4. Galariotis, Emilios C., 2010. "What should we know about momentum investing? The case of the Australian Security Exchange," Pacific-Basin Finance Journal, Elsevier, vol. 18(4), pages 369-389, September.
    5. Eero Pätäri & Timo Leivo, 2017. "A Closer Look At Value Premium: Literature Review And Synthesis," Journal of Economic Surveys, Wiley Blackwell, vol. 31(1), pages 79-168, February.
    6. Huij, Joop & Post, Thierry, 2011. "On the performance of emerging market equity mutual funds," Emerging Markets Review, Elsevier, vol. 12(3), pages 238-249, September.
    7. Cakici, Nusret & Zaremba, Adam, 2023. "Recency bias and the cross-section of international stock returns," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 84(C).
    8. Teplova, Tamara & Mikova, Evgeniya & Nazarov, Nikolai, 2017. "Stop losses momentum strategy: From profit maximization to risk control under White’s Bootstrap Reality Check," The Quarterly Review of Economics and Finance, Elsevier, vol. 66(C), pages 240-258.
    9. Hanauer, Matthias X. & Lauterbach, Jochim G., 2019. "The cross-section of emerging market stock returns," Emerging Markets Review, Elsevier, vol. 38(C), pages 265-286.
    10. Cakici, Nusret & Zaremba, Adam, 2022. "Salience theory and the cross-section of stock returns: International and further evidence," Journal of Financial Economics, Elsevier, vol. 146(2), pages 689-725.
    11. de Groot, Wilma & Pang, Juan & Swinkels, Laurens, 2012. "The cross-section of stock returns in frontier emerging markets," Journal of Empirical Finance, Elsevier, vol. 19(5), pages 796-818.
    12. Long, Huaigang & Chiah, Mardy & Cakici, Nusret & Zaremba, Adam & Bilgin, Mehmet Huseyin, 2024. "ESG investing in good and bad times: An international study," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 91(C).
    13. I-Cheng Yeh & Yi-Cheng Liu, 2020. "Discovering optimal weights in weighted-scoring stock-picking models: a mixture design approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-28, December.
    14. Conover, C. Mitchell & Jensen, Gerald R. & Johnson, Robert R. & Szakmary, Andrew C., 2017. "Emerging markets: Is the trend still your friend?," Global Finance Journal, Elsevier, vol. 32(C), pages 128-148.
    15. Brown, Stephen & Ghon Rhee, S. & Zhang, Liang, 2008. "The return to value in Asian stock markets," Emerging Markets Review, Elsevier, vol. 9(3), pages 194-205, September.
    16. Waszczuk, Antonina, 2013. "A risk-based explanation of return patterns—Evidence from the Polish stock market," Emerging Markets Review, Elsevier, vol. 15(C), pages 186-210.
    17. Blitz, David & Pang, Juan & van Vliet, Pim, 2013. "The volatility effect in emerging markets," Emerging Markets Review, Elsevier, vol. 16(C), pages 31-45.
    18. Antonina Waszczuk, 2013. "Do local or global risk factors explain the size, value and momentum trading pay-offs on the Warsaw Stock Exchange?," Applied Financial Economics, Taylor & Francis Journals, vol. 23(19), pages 1497-1508, October.
    19. de Zwart, G.J. & van Dijk, D.J.C., 2008. "The Inefficient Use of Macroeconomic Information in Analysts' Earnings Forecasts in Emerging Markets," ERIM Report Series Research in Management ERS-2008-007-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    20. Cakici, Nusret & Zaremba, Adam & Bianchi, Robert J. & Pham, Nga, 2021. "False discoveries in the anomaly research: New insights from the Stock Exchange of Melbourne (1927–1987)," Pacific-Basin Finance Journal, Elsevier, vol. 70(C).

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    More about this item

    Keywords

    behavioral models; earnings revisions; momentum; overreaction; risk; underreaction; value;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G3 - Financial Economics - - Corporate Finance and Governance
    • M - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics

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