Stochastic Modeling of Herd Behavior Indices

26 Pages Posted: 28 Mar 2014

Date Written: March 18, 2014

Abstract

This paper proposes different diffusion processes to model herd behavior indices such as the Herd Behavior Index (HIX) or the comonotonicity index (CIX). These models arise by combining popular mean-reverting processes with simple algebraic functions mapping the definition domain of the underlying mean-reverting process to the unit interval. The such obtained Itô processes preserve, to some extent, the mean-reverting trend of the underlying process while satisfying the fundamental properties of the so-called herd behavior indices. In the numerical study, we calibrate the different model settings to time series data for a period spanning from January 2000 until October 2009 and investigate their ability to predict the future behavior of herd behavior indices.

Keywords: herd behavior modeling, time-dependent diffusion processes, mean-reverting processes, comonotonicity

Suggested Citation

Guillaume, Florence and Linders, Daniël, Stochastic Modeling of Herd Behavior Indices (March 18, 2014). Available at SSRN: https://ssrn.com/abstract=2417196 or http://dx.doi.org/10.2139/ssrn.2417196

Daniël Linders

University of Illinois ( email )

306 Altgeld Hall,
1409 West Green Street
Champaign, IL 61822
United States

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