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Herd behavior towards the market index: Evidence from 21 financial markets

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  • Wang, Daxue

    (IESE Business School)

Abstract

This paper uses the cross-sectional variance of the betas to study herd behavior towards the market index in major developed and emerging financial markets (categorized as Developed group, Asian group, and Latin American group). We propose a robust regression technique to calculate the betas of the CAPM and those of the Fama-French three-factor model, with to the aim of diminishing the impact of multivariate outliers in return data. Through the estimated values obtained from a state space model, we examine the evolution of herding measures, especially their pattern around sudden events such as the 1997-1998 financial crises. This 1997-1998 turmoil turns out to have formed a turning point for most of the financial markets. We document a higher level of herding in emerging markets than in developed markets. We also find that the correlation of herding is higher between two markets from the same group than between two markets from different groups. This paper sheds light on the calculation of beta and on the financial policy to understand the dynamics of herding in financial markets.

Suggested Citation

  • Wang, Daxue, 2008. "Herd behavior towards the market index: Evidence from 21 financial markets," IESE Research Papers D/776, IESE Business School.
    • Handle: RePEc:ebg:iesewp:d-0776
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    File URL: http://www.iese.edu/research/pdfs/DI-0776-E.pdf
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    References listed on IDEAS

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    Cited by:

    1. Pop, Raluca Elena, 2012. "Herd behavior towards the market index: evidence from Romanian stock exchange," MPRA Paper 51595, University Library of Munich, Germany.
    2. Godfred Aawaar & Nicholas Addai Boamah & Joseph Oscar Akotey, 2020. "Investor herd behaviour in Africa s emerging and frontier markets," International Journal of Economics and Financial Issues, Econjournals, vol. 10(6), pages 194-205.
    3. Mobarek, Asma & Mollah, Sabur & Keasey, Kevin, 2014. "A cross-country analysis of herd behavior in Europe," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 32(C), pages 107-127.
    4. Alexandre Aidov & Olesya Lobanova, 2021. "The Relation between Intraday Limit Order Book Depth and Spread," IJFS, MDPI, vol. 9(4), pages 1-13, November.
    5. Paramita Mukherjee & Sweta Tiwari, 2022. "Trading Behaviour of Foreign Institutional Investors: Evidence from Indian Stock Markets," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 29(4), pages 605-629, December.
    6. Esra Alp Coşkun & Hakan Kahyaoglu & Chi Keung Marco Lau, 2023. "Which return regime induces overconfidence behavior? Artificial intelligence and a nonlinear approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-34, December.
    7. Petros Messis & Achilleas Zapranis, 2014. "Herding behaviour and volatility in the Athens Stock Exchange," Journal of Risk Finance, Emerald Group Publishing, vol. 15(5), pages 572-590, November.
    8. Hilal Hümeyra Özsu, 2015. "Empirical Analysis of Herd Behavior in Borsa Istanbul," International Journal of Economic Sciences, International Institute of Social and Economic Sciences, vol. 4(4), pages 27-52, December.

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    More about this item

    Keywords

    Herding; Outlier; Robust Regression; Cycle;
    All these keywords.

    JEL classification:

    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • 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
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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