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Evaluation of the effect of investor psychology on an artificial stock market through its degree of efficiency

Author

Listed:
  • Juan Benjamin Duarte Duarte

    (Universidad Industrial de Santander, Colombia)

  • Leonardo Hernán Talero Sarmiento

    (Universidad Industrial de Santander, Colombia)

  • Katherine Julieth Sierra Suárez

    (Universidad Industrial de Santander, Colombia)

Abstract

The main objective of this article is to develop a Cellular Automaton Model in which more than one type of stockbroker interact, and where the use and exchange of information between investors describe the complexity measured through the estimation of the Hurst exponent. This exponent represents an efficient or random market when it has a value equal to 0.5. Thanks to the various proposals, it can be determined in this investigation that a rational component must exist in the simulator in order to generate an efficient behavior.

Suggested Citation

  • Juan Benjamin Duarte Duarte & Leonardo Hernán Talero Sarmiento & Katherine Julieth Sierra Suárez, 2017. "Evaluation of the effect of investor psychology on an artificial stock market through its degree of efficiency," Contaduría y Administración, Accounting and Management, vol. 62(4), pages 1361-1376, Octubre-D.
    • Handle: RePEc:nax:conyad:v:62:y:2017:i:4:p:1361-1376
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    File URL: http://www.cya.unam.mx/index.php/cya/article/view/1690/1163
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    References listed on IDEAS

    as
    1. Chang, Eric C. & Cheng, Joseph W. & Khorana, Ajay, 2000. "An examination of herd behavior in equity markets: An international perspective," Journal of Banking & Finance, Elsevier, vol. 24(10), pages 1651-1679, October.
    2. Russ Wermers, 1999. "Mutual Fund Herding and the Impact on Stock Prices," Journal of Finance, American Finance Association, vol. 54(2), pages 581-622, April.
    3. Robert J. Shiller, 2003. "From Efficient Markets Theory to Behavioral Finance," Journal of Economic Perspectives, American Economic Association, vol. 17(1), pages 83-104, Winter.
    4. Bulkley, George & Harris, Richard D F, 1997. "Irrational Analysts' Expectations as a Cause of Excess Volatility in Stock Prices," Economic Journal, Royal Economic Society, vol. 107(441), pages 359-371, March.
    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.
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    Cited by:

    1. Chaoyu Zheng & Benhong Peng & Xin Sheng & Anxia Wan, 2021. "Haze risk: information diffusion based on cellular automata," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 107(3), pages 2605-2623, July.
    2. Leonardo Hernán Talero-Sarmiento & Henry Lamos-Díaz & Edwin Alberto Garavito-Hernández, 2019. "Evaluación de la hipótesis de eficiencia débil y análisis de causalidad en las centrales de abastos de Colombia," Apuntes del Cenes, Universidad Pedagógica y Tecnológica de Colombia, vol. 38(67), pages 35-69, February.
    3. Adedoyin Isola LAWAL & Ezekiel OSENI & Abiola John ASALEYE & Bukola LAWAL-ADEDOYIN & Rachael OJEKA-JOHN, 2021. "Is the Stock Market Efficient? Evidence from Nonlinear Unit Root Tests for Nigeria," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 11(5), pages 384-395, May.

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    More about this item

    Keywords

    Cellular automaton; Complexity; Hurst exponent; Investor psychology;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • G19 - Financial Economics - - General Financial Markets - - - Other

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