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A particle model for the herding phenomena induced by dynamic market signals

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  • Hyeong-Ohk Bae
  • Seung-yeon Cho
  • Sang-hyeok Lee
  • Seok-Bae Yun

Abstract

In this paper, we study the herding phenomena in financial markets arising from the combined effect of (1) non-coordinated collective interactions between the market players and (2) concurrent reactions of market players to dynamic market signals. By interpreting the expected rate of return of an asset and the favorability on that asset as position and velocity in phase space, we construct an agent-based particle model for herding behavior in finance. We then define two types of herding functionals using this model, and show that they satisfy a Gronwall type estimate and a LaSalle type invariance property respectively, leading to the herding behavior of the market players. Various numerical tests are presented to numerically verify these results.

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  • Hyeong-Ohk Bae & Seung-yeon Cho & Sang-hyeok Lee & Seok-Bae Yun, 2017. "A particle model for the herding phenomena induced by dynamic market signals," Papers 1712.01085, arXiv.org.
    • Handle: RePEc:arx:papers:1712.01085
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    References listed on IDEAS

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    1. Avery, Christopher & Zemsky, Peter, 1998. "Multidimensional Uncertainty and Herd Behavior in Financial Markets," American Economic Review, American Economic Association, vol. 88(4), pages 724-748, September.
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