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The success of stock selection strategies in emerging markets: Is it risk or behavioral bias?

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  • van der Hart, Jaap
  • de Zwart, Gerben
  • van Dijk, Dick
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.
(This abstract was borrowed from another version of this item.)

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  • van der Hart, Jaap & de Zwart, Gerben & van Dijk, Dick, 2005. "The success of stock selection strategies in emerging markets: Is it risk or behavioral bias?," Emerging Markets Review, Elsevier, vol. 6(3), pages 238-262, September.
    • Handle: RePEc:eee:ememar:v:6:y:2005:i:3:p:238-262
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    8. Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, December.
    9. 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.
    10. 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.
    11. 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.
    12. 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).
    13. 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.
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    20. 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.

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    • 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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