Asset Price Dynamics among Heterogeneous Interacting Agents

被引：27

作者：

Carl Chiarella

Mauro Gallegati

Roberto Leombruni

Antonio Palestrini

机构：

[1] School of Finance and Economics, University of Technology, Sydney

[2] Department of Economics, University of Ancona

[3] Laboratorio R. Revelli, Torino

来源：

Computational Economics | 2003年 / 22卷 / 2-3期

关键词：

asset price dynamics; geneticalgorithms; rational herding;

D O I：

10.1023/A:1026137931041

中图分类号：

学科分类号：

摘要：

In this paper, we investigate the presence of rationalherding on asset price dynamics during the intra-day trading withheterogeneous interacting agents, whose information set is notcomplete. In the model, individual probability measures offinancial investment strategies are defined using statisticalmechanics concepts. In addition, there is a learning processtoward the best strategy, implemented as a geneticalgorithm. Simulations show that imitative behavior can be arational strategy, since it allows an investor to gain excessreturns on an asset by exploiting information regarding pricedynamics not strictly contained in the fundamental solution. Herdbehavior is rational in the sense that it produces profits at theexpense of increasing the complexity of the system. © 2003 Kluwer Academic Publishers.

引用

页码：213 / 223

页数：10

共 13 条

[1]

Arthur W.B., Designing economic agent that act like human agent: A behavioural approach to bounded rationality, pp. 353-359, (1991)

[2]

Arthur W.B., On Learning and Adaptation in the Economy, (1992)

[3]

Arthur W.B., Inductive reasoning and bounded rationality, American Economic Review, 84, 2, pp. 406-411, (1994)

[4]

Brock W.A., Durlauf S.N., Interaction-based models, In Handbook of Econometrics, 5, (2000)

[5]

Brock W.A., Hommes C., A rational route to randomness, Econometrica, 65, pp. 1235-1274, (1997)

[6]

Chiarella C., He X.Z., Asset price and wealth dynamics under heterogeneous expectations, Quantitative Finance, 5, pp. 509-526, (2001)

[7]

Chiarella C., He X.Z., Heterogeneous beliefs, risk and learning in a simple asset pricing model, Computational Economics, 19, pp. 95-132, (2001)

[8]

Kirman A., Teissiere G., Microeconomic models for long-memory in the volatility of financial time series, (2001)

[9]

Leombruni R., Palestrini A., Gallegati M., Mean field effects and interaction cycles in financial markets, Lecture Notes in Economics and Mathematical Systems, (2002)

[10]

Lux T., Marchesi M., Scaling and criticality in a stochastic multi-agent model of financial market, Nature, 397, pp. 498-500, (1999)

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