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Journal of Artificial Intelligence and Soft Computing Research

The Journal of Polish Neural Network Society, the University of Social Sciences in Lodz & Czestochowa University of Technology

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2083-2567
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ABM with Behavioral Bias and Applications in Simulating China Stock Market

Guocheng Wang
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  • Institute of Quantitative & Technical Economics Chinese Academy of Social Sciences Beijing 100732 China
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/ Shiguo Zhang
Published Online: 2015-10-29 | DOI: https://doi.org/10.1515/jaiscr-2015-0034

Abstract

One of the most important advantage of ABM (Agent-Based Modeling) used in social and economic calculation simulation is that the critical behavioral characteristics of the micro agents can be deeply depicted by the approach. Why, what and how real behavior(s) should be incorporated into ABM and is it appropriate and effective to use ABM with HSCA collaboration and micro-macro link features for complex economy/finance analysis? Through deepening behavioral analysis and using computational experimental methods incorporating HS (Human Subject) into CA (Computational Agent), which is extended ABM, based on the theory of behavioral finance and complexity science as well, we constructed a micro-macro integrated model with the key behavioral characteristics of investors as an experimental platform to cognize the conduction mechanism of complex capital market and typical phenomena in this paper, and illustrated briefly applied cases including the internal relations between impulsive behavior and the fluctuation of stock’s, the asymmetric cognitive bias and volatility cluster, deflective peak and fat-tail of China stock market.

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About the article

Published Online: 2015-10-29

Published in Print: 2015-10-01


Citation Information: Journal of Artificial Intelligence and Soft Computing Research, Volume 5, Issue 4, Pages 257–270, ISSN (Online) 2083-2567, DOI: https://doi.org/10.1515/jaiscr-2015-0034.

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© 2015. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. BY-NC-ND 4.0

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