Herding, Trend Chasing and Market Volatility

Corrado Di Guilmi, Xuezhong (Tony) He and Kai Li

No 337, Research Paper Series from Quantitative Finance Research Centre, University of Technology, Sydney

Abstract: We introduce a heterogeneous agent asset pricing model in continuoustime to show that trend chasing, switching and herding all contribute to market volatility in price and return and volatility clustering, but their impact are different. On the one hand, the fluctuations of market price and return and the level of the significant autocorrelations (ACs) of the absolute and squared returns increase with herding and trend chasing based on long time horizon. On the other hand, the switching reduces the return volatility and an initial increase in switching reduces the price volatility and increases the level of the significant ACs, but the effect becomes opposite when the switching increases further. We also show that market noise plays more important role than fundamental noise on the power-law behavior.

Keywords: Heterogeneous beliefs; herding; switching; stability; volatility; stochastic delay differential equations (search for similar items in EconPapers)
JEL-codes: C62 D53 D84 G12 (search for similar items in EconPapers)
Pages: 44 pages
Date: 2013-10-01
New Economics Papers: this item is included in nep-fmk
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Citations: View citations in EconPapers (11)

Published as: Di Guilmi, C., He, X. and Li, K., 2014, "Herding, Trend Chasing and Market Volatility", Journal of Economic Dynamics and Control, 48, 349-373.

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https://www.uts.edu.au/sites/default/files/qfr-archive-03/QFR-rp337.pdf (application/pdf)

Related works:
Journal Article: Herding, trend chasing and market volatility (2014)
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