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Digesting anomalies in emerging European markets: A comparison of factor pricing models

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  • Zaremba, Adam
  • Czapkiewicz, Anna

Abstract

This study compares the performance of four popular factor pricing models—the capital asset-pricing model (Sharpe, 1964), the three-factor model of Fama and French (1993), the four-factor model of Carhart (1997), and the five-factor model of Fama and French (2015a)—testing their explanatory power over a broad range of cross-sectional return patterns in emerging European markets. We identify, classify, and replicate 100 anomalies documented in the financial literature. Only 20 (32) of the capitalization-weighted (equal-weighted) anomaly portfolios are significantly profitable. We show that the five-factor model best explains the returns of anomaly portfolios and verify its superiority over the other models.

Suggested Citation

  • Zaremba, Adam & Czapkiewicz, Anna, 2017. "Digesting anomalies in emerging European markets: A comparison of factor pricing models," Emerging Markets Review, Elsevier, vol. 31(C), pages 1-15.
  • Handle: RePEc:eee:ememar:v:31:y:2017:i:c:p:1-15
    DOI: 10.1016/j.ememar.2016.12.002
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    Cited by:

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    6. 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.
    7. Naffa, Helena & Fain, Máté, 2022. "A factor approach to the performance of ESG leaders and laggards," Finance Research Letters, Elsevier, vol. 44(C).
    8. Li, Zhuolei & Diao, Xundi & Wu, Chongfeng, 2022. "The influence of mobile trading on return dispersion and herding behavior," Pacific-Basin Finance Journal, Elsevier, vol. 73(C).
    9. Azimli, Asil, 2022. "The impact of policy, political and economic uncertainty on corporate capital investment in the emerging markets of Eastern Europe and Turkey," Economic Systems, Elsevier, vol. 46(2).
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    12. Hooi Hooi Lean & Fabio Pizzutilo, 2021. "Performances and risk of socially responsible investments across regions during crisis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 3556-3568, July.
    13. Jonathan Batten & Xuan Vinh Vo, 2019. "Liquidity And Firm Value In An Emerging Market," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 64(02), pages 365-376, March.
    14. Asgar Ali & K. N. Badhani, 2021. "Beta-Anomaly: Evidence from the Indian Equity Market," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(1), pages 55-78, March.
    15. Czapkiewicz, Anna & Wójtowicz, Tomasz & Zaremba, Adam, 2023. "Idiosyncratic risk and cross-section of stock returns in emerging European markets," Economic Modelling, Elsevier, vol. 124(C).
    16. Jessica Pesantez-Narvaez & Montserrat Guillen & Manuela Alcañiz, 2021. "RiskLogitboost Regression for Rare Events in Binary Response: An Econometric Approach," Mathematics, MDPI, vol. 9(5), pages 1-21, March.
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    19. Huber, Daniel & Jacobs, Heiko & Müller, Sebastian & Preissler, Fabian, 2023. "International factor models," Journal of Banking & Finance, Elsevier, vol. 150(C).

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    More about this item

    Keywords

    Asset pricing; Factor models; Anomalies; Emerging European markets; Emerging markets; Cross section of returns; Size; Value; Momentum; Profitability; Asset growth;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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