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Trading Heterogeneity Under Information Uncertainty

Xuezhong (Tony) He (tonyxhe@gmail.com) and Huanhuan Zheng

No 373, Research Paper Series from Quantitative Finance Research Centre, University of Technology, Sydney

Abstract: Instead of heuristical heterogeneity assumption in the current heterogeneous agent models (HAMs), we derive the trading heterogeneity by introducing information uncertainty about the fundamental value to a HAM. Conditional on their private information about the fundamental value, agents choose different trading strategies when optimizing their expected utilities. This provides a microfoundation to heterogeneity and switching behavior of agents. We show that the HAM with trading heterogeneity originating from the incomplete information performs equally well, if not better than existing HAMs, in generating bubbles, crashes, and mean-reverting prices. The simulated time series matches with the S&P 500 in terms of power law distribution in returns, volatility clustering and long memory in volatility.

Keywords: Information friction; heterogeneity; endogeneity; stock returns; stylized facts (search for similar items in EconPapers)
JEL-codes: D53 D83 G12 (search for similar items in EconPapers)
Pages: 39 pages
Date: 2016-07-01
New Economics Papers: this item is included in nep-ore
References: Add references at CitEc
Citations: View citations in EconPapers (17)

Published as: He, X. and Zheng, H., 2016, “Trading Heterogeneity Under Information Uncertainty”, Journal of Economic Behavior and Organization, 130, 64-80.

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https://www.uts.edu.au/sites/default/files/QFR-rp373.pdf (application/pdf)

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Journal Article: Trading heterogeneity under information uncertainty (2016) Downloads
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Persistent link: https://EconPapers.repec.org/RePEc:uts:rpaper:373

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