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Dynamic Herding Behaviour In the US Stock Market

Author

Listed:
  • Muhammad Yasir
  • A. Özlem Önder

Abstract

This paper employs a dynamic herding approach that takes herding under different market regimes into account. We use daily data on US stock returns for the S&P 500 ranging from 2006 to 2017. The results of the linear model yield no evidence of herding. However, the findings of switching regression of Bai and Perron (1998) demonstrate evidence of herding during crisis regimes of S&P 500. The alternative approach of Markov switching also supports these findings.

Suggested Citation

  • Muhammad Yasir & A. Özlem Önder, 2021. "Dynamic Herding Behaviour In the US Stock Market," Prague Economic Papers, Prague University of Economics and Business, vol. 2021(1), pages 115-130.
  • Handle: RePEc:prg:jnlpep:v:2021:y:2021:i:1:id:760:p:115-130
    DOI: 10.18267/j.pep.760
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    More about this item

    Keywords

    Behavioural finance; herding behaviour; cross-sectional dispersions; structural breaks;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G01 - Financial Economics - - General - - - Financial Crises
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets

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