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A model of information flows and confirmatory bias in financial markets

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  • Mark Bowden

Abstract

An agent-based artificial market is developed to investigate the impact of confirmatory bias on volatility and kurtosis in one-period returns. Sentiment investors (similar to chartists) trade based on their assessment of future prices and the views of connected neighbours. Confirmatory bias reduces volatility and kurtosis, as new information becomes biased towards their previous decision thereby reducing trading activity. However, when the trading volume of the fundamental investor is low, confirmatory bias increases the levels of kurtosis in return suggesting that while overall trading activity of the sentiment investors falls, it becomes more coordinated. Copyright Springer-Verlag Italia 2015

Suggested Citation

  • Mark Bowden, 2015. "A model of information flows and confirmatory bias in financial markets," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 38(2), pages 197-215, October.
  • Handle: RePEc:spr:decfin:v:38:y:2015:i:2:p:197-215
    DOI: 10.1007/s10203-015-0164-y
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    1. Day, Richard H. & Huang, Weihong, 1990. "Bulls, bears and market sheep," Journal of Economic Behavior & Organization, Elsevier, vol. 14(3), pages 299-329, December.
    2. John Y. Campbell & Martin Lettau & Burton G. Malkiel & Yexiao Xu, 2001. "Have Individual Stocks Become More Volatile? An Empirical Exploration of Idiosyncratic Risk," Journal of Finance, American Finance Association, vol. 56(1), pages 1-43, February.
    3. Rabin, Mathew, 1991. "Cognitive Dissonance and Social Change," Department of Economics, Working Paper Series qt37b169jt, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    4. Akerlof, George A & Dickens, William T, 1982. "The Economic Consequences of Cognitive Dissonance," American Economic Review, American Economic Association, vol. 72(3), pages 307-319, June.
    5. Argentesi Elena & Lütkepohl Helmut & Motta Massimo, 2010. "Acquisition of Information and Share Prices: An Empirical Investigation of Cognitive Dissonance," German Economic Review, De Gruyter, vol. 11(3), pages 381-396, August.
    6. Rabin, Matthew, 1994. "Cognitive dissonance and social change," Journal of Economic Behavior & Organization, Elsevier, vol. 23(2), pages 177-194, March.
    7. William N. Goetzmann & Nadav Peles, 1997. "Cognitive Dissonance And Mutual Fund Investors," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 20(2), pages 145-158, June.
    8. Wing Suen, 2004. "The Self-Perpetuation of Biased Beliefs," Economic Journal, Royal Economic Society, vol. 114(495), pages 377-396, April.
    9. Dickinson, David L. & Oxoby, Robert J., 2011. "Cognitive dissonance, pessimism, and behavioral spillover effects," Journal of Economic Psychology, Elsevier, vol. 32(3), pages 295-306, June.
    10. Steven X. Wei & Chu Zhang, 2006. "Why Did Individual Stocks Become More Volatile?," The Journal of Business, University of Chicago Press, vol. 79(1), pages 259-292, January.
    11. Manzan, Sebastiano & Westerhoff, Frank H., 2007. "Heterogeneous expectations, exchange rate dynamics and predictability," Journal of Economic Behavior & Organization, Elsevier, vol. 64(1), pages 111-128, September.
    12. Bowden, Mark P., 2012. "Information contagion within small worlds and changes in kurtosis and volatility in financial prices," Journal of Macroeconomics, Elsevier, vol. 34(2), pages 553-566.
    13. Ebonya Washington & Sendhil Mullainathan, 2009. "Sticking with Your Vote: Cognitive Dissonance and Political Attitudes," American Economic Journal: Applied Economics, American Economic Association, vol. 1(1), pages 86-111, January.
    14. Prast, H.M. & de Vor, M.P.H., 2005. "Investor reactions to news : A cognitive dissonance analysis of the euro-US dollar exchange rate," Other publications TiSEM 06e6443b-10cd-4029-a50b-8, Tilburg University, School of Economics and Management.
    15. Smith, John, 2009. "Cognitive dissonance and the overtaking anomaly: Psychology in the principal-agent relationship," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 38(4), pages 684-690, August.
    16. Robert J. Oxoby, 2004. "Cognitive dissonance, status and growth of the underclass," Economic Journal, Royal Economic Society, vol. 114(498), pages 727-749, October.
    17. Mr. Bernhard Eckwert & Mr. Burkhard Drees, 2005. "Asset Mispricing Due to Cognitive Dissonance," IMF Working Papers 2005/009, International Monetary Fund.
    18. James Konow, 2000. "Fair Shares: Accountability and Cognitive Dissonance in Allocation Decisions," American Economic Review, American Economic Association, vol. 90(4), pages 1072-1091, September.
    19. Prast, Henriette M. & de Vor, Marc P. H., 2005. "Investor reactions to news: a cognitive dissonance analysis of the euro-dollar exchange rate," European Journal of Political Economy, Elsevier, vol. 21(1), pages 115-141, March.
    20. Farmer, J. Doyne & Joshi, Shareen, 2002. "The price dynamics of common trading strategies," Journal of Economic Behavior & Organization, Elsevier, vol. 49(2), pages 149-171, October.
    21. Lux, Thomas, 1998. "The socio-economic dynamics of speculative markets: interacting agents, chaos, and the fat tails of return distributions," Journal of Economic Behavior & Organization, Elsevier, vol. 33(2), pages 143-165, January.
    22. Brady, Gordon L & Clark, J R & Davis, William L, 1995. "The Political Economy of Dissonance," Public Choice, Springer, vol. 82(1-2), pages 37-51, January.
    23. Goldsmith, Arthur H. & Sedo, Stanley & Darity, William Jr. & Hamilton, Darrick, 2004. "The labor supply consequences of perceptions of employer discrimination during search and on-the-job: Integrating neoclassical theory and cognitive dissonance," Journal of Economic Psychology, Elsevier, vol. 25(1), pages 15-39, February.
    24. William N. Goetzmann & Nadav Peles, 1997. "Cognitive Dissonance And Mutual Fund Investors," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 20(2), pages 145-158, June.
    25. Dieci, Roberto & Westerhoff, Frank, 2010. "Heterogeneous speculators, endogenous fluctuations and interacting markets: A model of stock prices and exchange rates," Journal of Economic Dynamics and Control, Elsevier, vol. 34(4), pages 743-764, April.
    26. repec:bla:germec:v:11:y:2010:i::p:381-396 is not listed on IDEAS
    27. Oxoby, Robert J., 2003. "Attitudes and allocations: status, cognitive dissonance, and the manipulation of attitudes," Journal of Economic Behavior & Organization, Elsevier, vol. 52(3), pages 365-385, November.
    28. Matthew Rabin & Joel L. Schrag, 1999. "First Impressions Matter: A Model of Confirmatory Bias," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(1), pages 37-82.
    29. Carl Chiarella & Roberto Dieci & Laura Gardini, 2005. "The Dynamic Interaction of Speculation and Diversification," Applied Mathematical Finance, Taylor & Francis Journals, vol. 12(1), pages 17-52.
    30. Mark Bowden & Stuart McDonald, 2008. "The Impact of Interaction and Social Learning on Aggregate Expectations," Computational Economics, Springer;Society for Computational Economics, vol. 31(3), pages 289-306, April.
    31. Friesen, Geoffrey & Weller, Paul A., 2006. "Quantifying cognitive biases in analyst earnings forecasts," Journal of Financial Markets, Elsevier, vol. 9(4), pages 333-365, November.
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    Cited by:

    1. Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, December.
    2. Alexander Harin, 2022. "Forbidden Zones for the Expectations of Data: New Mathematical Methods and Models for Behavioral Economics," Academic Journal of Applied Mathematical Sciences, Academic Research Publishing Group, vol. 8(1), pages 12-26, 12-2021.
    3. Harin, Alexander, 2021. "Behavioral economics. Forbidden zones. New method and models," MPRA Paper 106545, University Library of Munich, Germany.
    4. Cafferata, Alessia & Tramontana, Fabio, 2019. "A financial market model with confirmation bias," Structural Change and Economic Dynamics, Elsevier, vol. 51(C), pages 252-259.
    5. Qingchong Chen & Xiong Xiong & Ya Gao, 2021. "Is information really efficient for the market? Evidence of confirmatory bias in China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(5), pages 5965-5997, December.

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    More about this item

    Keywords

    Confirmatory bias; Cognitive dissonance; Network economics; Information contagion; Behavioural finance; G12; G14; D83; D84;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations

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