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Estimating a Structural Model of Herd Behavior in Financial Markets
Report

Estimating a Structural Model of Herd Behavior in Financial Markets


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Editorial Rating

8

Qualities

  • Analytical
  • Innovative
  • Scientific

Recommendation

Researchers Marco Cipriani and Antonio Guarino present an innovative approach to the study of “herding,” traders’ tendency to base their transactions on market movements even if those actions contradict the traders’ information. Cipriani and Guarino’s model is the first to blend “social learning” theories of motivation with trading statistics to derive an understanding of why traders act as they do. getAbstract suggests their scholarly work to academics, regulators and financial services professionals interested in cutting-edge research on stock market behavior.

Take-Aways

  • Securities traders sometimes “herd” when buying or selling an asset. Despite contrary “private information,” they base their decisions on others’ prior trades of that security.
  • Herding occurs when securities traders “buy after the price has risen or…sell after the price has fallen.”
  • The “informational inefficiencies” of herding account for about “4% of [an] asset’s expected value.”

About the Authors

Marco Cipriani works at the Federal Reserve Bank of New York. Antonio Guarino is a reader at the University College London.