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Feedback trading: a review of theory and empirical evidence

Author

Listed:
  • Fotini Economou
  • Konstantinos Gavriilidis
  • Bartosz Gebka
  • Vasileios Kallinterakis

Abstract

Purpose - The purpose of this paper is to comprehensively review a large and heterogeneous body of academic literature on investors' feedback trading, one of the most popular trading patterns observed historically in financial markets. Specifically, the authors aim to synthesize the diverse theoretical approaches to feedback trading in order to provide a detailed discussion of its various determinants, and to systematically review the empirical literature across various asset classes to gauge whether their feedback trading entails discernible patterns and the determinants that motivate them. Design/methodology/approach - Given the high degree of heterogeneity of both theoretical and empirical approaches, the authors adopt a semi-systematic type of approach to review the feedback trading literature, inspired by the RAMESES protocol for meta-narrative reviews. The final sample consists of 243 papers covering diverse asset classes, investor types and geographies. Findings - The authors find feedback trading to be very widely observed over time and across markets internationally. Institutional investors engage in feedback trading in a herd-like manner, and most noticeably in small domestic stocks and emerging markets. Regulatory changes and financial crises affect the intensity of their feedback trades. Retail investors are mostly contrarian and underperform their institutional counterparts, while the latter's trades can be often motivated by market sentiment. Originality/value - The authors provide a detailed overview of various possible theoretical determinants, both behavioural and non-behavioural, of feedback trading, as well as a comprehensive overview and synthesis of the empirical literature. The authors also propose a series of possible directions for future research.

Suggested Citation

  • Fotini Economou & Konstantinos Gavriilidis & Bartosz Gebka & Vasileios Kallinterakis, 2022. "Feedback trading: a review of theory and empirical evidence," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 15(4), pages 429-476, February.
  • Handle: RePEc:eme:rbfpps:rbf-12-2021-0268
    DOI: 10.1108/RBF-12-2021-0268
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    1. Yao, Jing & Yang, Yiwen, 2023. "Risk-return tradeoff and serial correlation in the Chinese stock market: A bailout-driven crash feedback hypothesis," Economic Modelling, Elsevier, vol. 129(C).
    2. Ngene, Geoffrey M. & Wang, Jinghua, 2024. "Arbitrage opportunities and feedback trading in regulated bitcoin futures market: An intraday analysis," International Review of Economics & Finance, Elsevier, vol. 89(PB), pages 743-761.
    3. Paramita Mukherjee & Rajashri Chatterjee, 2024. "Feedback Trading and Its Implications for Return Autocorrelations in India During COVID," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 23(2), pages 246-270, June.

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    More about this item

    Keywords

    Feedback trading; Behavioural finance; Market efficiency; Retail investors; Institutional investors; Foreign investors; Momentum; Contrarian; F21; G4; G11; G15; G23;
    All these keywords.

    JEL classification:

    • F21 - International Economics - - International Factor Movements and International Business - - - International Investment; Long-Term Capital Movements
    • G4 - Financial Economics - - Behavioral Finance
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors

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