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Contrarian and momentum trading: a review of the literature

Author

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  • Emilios C. C Galariotis

    (Audencia Recherche - Audencia Business School)

Abstract

The purpose of this paper is to critically review the literature on contrarian and momentum trading strategies and identify areas for future research. The extant literature is dynamic and is typified by a number of open questions. The open questions in the literature relate mainly to the driving forces of investment performance, and the role of risk and asset pricing as well as behavioral human traits. The literature is vast and therefore difficult to classify, cover and discuss. The paper indicates the possible need for: the development of different asset pricing models and propositions that can have practical implications at a more international context. The paper provides a critical review of the literature and identifies open issues for future research

Suggested Citation

  • Emilios C. C Galariotis, 2014. "Contrarian and momentum trading: a review of the literature," Post-Print hal-01122573, HAL.
    • Handle: RePEc:hal:journl:hal-01122573
    DOI: 10.1108/RBF-12-2013-0043
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    Citations

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    Cited by:

    1. Fabrice Rousseau & Herve Boco & Laurent Germain, 2020. "When Overconfident Traders Meet Feedback Traders - Updated from 2016," Economics Department Working Paper Series n270-16.pdf, Department of Economics, National University of Ireland - Maynooth.
    2. Federico Bassi & Raquel Ramos & Dany Lang, 2023. "Bet against the trend and cash in profits: An agent-based model of endogenous fluctuations of exchange rates," Journal of Evolutionary Economics, Springer, vol. 33(2), pages 429-472, April.
    3. Kallinterakis, Vasileios & Liu, Fei & Pantelous, Athanasios A. & Shao, Jia, 2020. "Pricing inefficiencies and feedback trading: Evidence from country ETFs," International Review of Financial Analysis, Elsevier, vol. 70(C).
    4. Simarjeet Singh & Nidhi Walia, 2022. "Momentum investing: a systematic literature review and bibliometric analysis," Management Review Quarterly, Springer, vol. 72(1), pages 87-113, February.
    5. Ham, Hyuna & Ryu, Doojin & Webb, Robert I., 2022. "The effects of overnight events on daytime trading sessions," International Review of Financial Analysis, Elsevier, vol. 83(C).
    6. Meneguzzer, Claudio, 2022. "Day-to-day dynamics in a simple traffic network with mixed direct and contrarian route choice behaviors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 603(C).
    7. Raquel Almeida Ramos & Federico Bassi & Dany Lang, 2020. "Bet against the trend and cash in profits," CEPN Working Papers halshs-02956879, HAL.
    8. Klaus Grobys & Sami Vähämaa, 0. "Another look at value and momentum: volatility spillovers," Review of Quantitative Finance and Accounting, Springer, vol. 0, pages 1-21.
    9. Yan, Ruzhen & Yue, Ding & Chen, Xudong & Wu, Xu, 2020. "Non-linear characterization and trend identification of liquidity in China's new OTC stock market based on multifractal detrended fluctuation analysis," Chaos, Solitons & Fractals, Elsevier, vol. 139(C).
    10. Klaus Grobys & Sami Vähämaa, 2020. "Another look at value and momentum: volatility spillovers," Review of Quantitative Finance and Accounting, Springer, vol. 55(4), pages 1459-1479, November.
    11. Andrikopoulos, Panagiotis & Cui, Yueting & Gad, Samar & Kallinterakis, Vasileios, 2020. "Feedback trading and the ramadan effect in frontier markets," Research in International Business and Finance, Elsevier, vol. 51(C).
    12. Charteris, Ailie & Kallinterakis, Vasileios, 2021. "Feedback trading in retail-dominated assets: Evidence from the gold bullion coin market," International Review of Financial Analysis, Elsevier, vol. 75(C).
    13. Ruzhen Yan & Ding Yue & Xu Wu & Wei Gao, 2023. "Multiscale Multifractal Detrended Fluctuation Analysis and Trend Identification of Liquidity in the China's Stock Markets," Computational Economics, Springer;Society for Computational Economics, vol. 61(2), pages 487-511, February.

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