This chapter surveys the boundedly rational heterogeneous agent (BRHA) models of financial markets, to the development of which the authors and several coauthors have contributed in various papers. We give particular emphasis to the role of the market-clearing mechanism used, the utility function of the investors, the interaction of price and wealth dynamics, portfolio implications, the impact of stochastic elements on market dynamics, and calibration of this class of models. Due to agents' behavioral features and market noise, the BRHA models are both nonlinear and stochastic. We show that the BRHA models produce both a locally stable fundamental equilibrium corresponding to that of the standard paradigm as well as instability with a consequent rich range of possible complex behaviors characterized both indirectly by simulation and directly by stochastic bifurcations. A calibrated model is able to reproduce quite well the stylized facts of financial markets. The BRHA framework is thus able to accommodate market features that seem not easily reconcilable for the standard financial market paradigm, such as fat tails, volatility clustering, large excursions from the fundamental, and bubbles.

Heterogeneity, Market Mechanisms, and Asset Price Dynamics

DIECI, ROBERTO;
2009

Abstract

This chapter surveys the boundedly rational heterogeneous agent (BRHA) models of financial markets, to the development of which the authors and several coauthors have contributed in various papers. We give particular emphasis to the role of the market-clearing mechanism used, the utility function of the investors, the interaction of price and wealth dynamics, portfolio implications, the impact of stochastic elements on market dynamics, and calibration of this class of models. Due to agents' behavioral features and market noise, the BRHA models are both nonlinear and stochastic. We show that the BRHA models produce both a locally stable fundamental equilibrium corresponding to that of the standard paradigm as well as instability with a consequent rich range of possible complex behaviors characterized both indirectly by simulation and directly by stochastic bifurcations. A calibrated model is able to reproduce quite well the stylized facts of financial markets. The BRHA framework is thus able to accommodate market features that seem not easily reconcilable for the standard financial market paradigm, such as fat tails, volatility clustering, large excursions from the fundamental, and bubbles.
Handbook of Financial Markets: Dynamics and Evolution
277
344
C. Chiarella; R. Dieci; X.-Z. He
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11585/84894
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