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Classical Lassical And Behavioural Finance In Investor Decision

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  • Lect. Aurora Murgea Ph. D

    (West University of Timisoara Faculty of Economics and Business Administration Timisoara, Romania)

Abstract

Conceptual model of individual investor behavior presented in this paper aims to structure a part of the vast knowledge about investor behavior that is present in the finance field. The investment process could be seen as driven by dual mental processes (cognitive and affective) and the interplay between these systems contributes to bounded rational behavior manifested through various heuristics and biases. The investment decision is seen as a result of an interaction between the investor and the investment environment

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Bibliographic Info

Article provided by University of Craiova, Faculty of Economics and Business Administration in its journal Annals of Computational Economics.

Volume (Year): 2 (2010)
Issue (Month): 38 (May)
Pages: 12

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Handle: RePEc:aio:aucsse:v:2:y:2010:i:12:p:212-223

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Related research

Keywords: investor behaviour; financial decisions making; cognitive modelling; sentiments; market efficiency;

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  1. José Luiz Barros Fernandes & Juan Ignacio Peña & Benjamin Miranda Tabak, 2009. "Behavior Finance and Estimation Risk in Stochastic Portfolio Optimization," Working Papers Series 184, Central Bank of Brazil, Research Department.
  2. David Hirshleifer, 2001. "Investor Psychology and Asset Pricing," Journal of Finance, American Finance Association, vol. 56(4), pages 1533-1597, 08.
  3. Leigh Tesfatsion, 2006. "Agent-Based Computational Economics: A Constructive Approach to Economic Theory," Computing in Economics and Finance 2006 527, Society for Computational Economics.
  4. Malcolm Baker & Jeffrey Wurgler, 2007. "Investor Sentiment in the Stock Market," NBER Working Papers 13189, National Bureau of Economic Research, Inc.
  5. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
  6. David Hirshleifer & Kewei Hou & Siew Hong Teoh, 2012. "The Accrual Anomaly: Risk or Mispricing?," Management Science, INFORMS, vol. 58(2), pages 320-335, February.
  7. Hommes, Cars H., 2006. "Heterogeneous Agent Models in Economics and Finance," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 23, pages 1109-1186 Elsevier.
  8. Lovric, M. & Kaymak, U. & Spronk, J., 2008. "A Conceptual Model of Investor Behavior," ERIM Report Series Research in Management ERS-2008-030-F&A, 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.
  9. Gur Huberman & Wei Jiang, 2006. "Offering versus Choice in 401(k) Plans: Equity Exposure and Number of Funds," Journal of Finance, American Finance Association, vol. 61(2), pages 763-801, 04.
  10. Daniel Kahneman, 2003. "Maps of Bounded Rationality: Psychology for Behavioral Economics," American Economic Review, American Economic Association, vol. 93(5), pages 1449-1475, December.
  11. Kelly, Patrick J. & Meschke, Felix, 2010. "Sentiment and stock returns: The SAD anomaly revisited," Journal of Banking & Finance, Elsevier, vol. 34(6), pages 1308-1326, June.
  12. Boer-Sorban, K. & de Bruin, A. & Kaymak, U., 2005. "On the Design of Artificial Stock Markets," ERIM Report Series Research in Management ERS-2005-001-LIS, 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.
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