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A Conceptual Model of Investor Behavior

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  • Lovric, M.
  • Kaymak, U.
  • Spronk, J.

Abstract

Based on a survey of behavioral finance literature, this paper presents a descriptive model of individual investor behavior in which investment decisions are seen as an iterative process of interactions between the investor and the investment environment. This investment process is influenced by a number of interdependent variables and driven by dual mental systems, the interplay of which contributes to boundedly rational behavior where investors use various heuristics and may exhibit behavioral biases. In the modeling tradition of cognitive science and intelligent systems, the investor is seen as a learning, adapting, and evolving entity that perceives the environment, processes information, acts upon it, and updates his or her internal states. This conceptual model can be used to build stylized representations of (classes of) individual investors, and further studied using the paradigm of agent-based artificial financial markets. By allowing us to implement individual investor behavior, to choose various market mechanisms, and to analyze the obtained asset prices, agent-based models can bridge the gap between the micro level of individual investor behavior and the macro level of aggregate market phenomena. It has been recognized, yet not fully explored, that these models could be used as a tool to generate or test various behavioral hypothesis.

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Bibliographic Info

Paper provided by Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam in its series ERIM Report Series Research in Management with number ERS-2008-030-F&A.

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Date of creation: 23 Jun 2008
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Handle: RePEc:ems:eureri:12468

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Postal: RSM Erasmus University & Erasmus School of Economics, PoBox 1738, 3000 DR Rotterdam
Phone: 31-10-408 1182
Fax: 31-10-408 9020
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Web page: http://www.erim.eur.nl/
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Related research

Keywords: agent-based artificial financial markets; behavioral finance; cognitive modeling; financial decision making; investor behavior;

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References

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Cited by:
  1. Yun Wang & Renhai Hua & Zongcheng Zhang, 2011. "The investor behavior and futures market volatility: A theory and empirical study based on the OLG model and high-frequency data," China Finance Review International, Emerald Group Publishing, vol. 1(4), pages 388-407, August.
  2. Lect. Aurora Murgea Ph. D, 2010. "Classical Lassical And Behavioural Finance In Investor Decision," Annals of University of Craiova - Economic Sciences Series, University of Craiova, Faculty of Economics and Business Administration, vol. 2(38), pages 12, May.

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