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What Decision Neuroscience Teaches Us About Financial Decision Making

Author

Listed:
  • Peter Bossaerts

    (Division of the Humanities and Social Sciences, California Institute of Technology, Pasadena, California 91125; Ecole Polytechnique Fédérale, CH-1015 Lausanne, Switzerland)

Abstract

Financial decision making is the outcome of complex neurophysiological processes involving, among others, constant re-evaluation of the statistics of the problem at hand, balancing of the various emotional aspects, and computation of the very value signals that are at the core of modern economic thinking. The evidence suggests that emotions play a crucial supporting role in the mathematical computations needed for reasoned choice, rather than interfering with it, even if emotions (and their mathematical counterparts) may not always be balanced appropriately. Decision neuroscience can be expected in the near future to provide a number of effective tools for improved financial decision making.

Suggested Citation

  • Peter Bossaerts, 2009. "What Decision Neuroscience Teaches Us About Financial Decision Making," Annual Review of Financial Economics, Annual Reviews, vol. 1(1), pages 383-404, November.
    • Handle: RePEc:anr:refeco:v:1:y:2009:p:383-404
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    File URL: http://www.annualreviews.org/doi/abs/10.1146/annurev.financial.102708.141514
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    Citations

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    Cited by:

    1. Bossaerts, Peter & Suzuki, Shinsuke & O’Doherty, John P., 2019. "Perception of intentionality in investor attitudes towards financial risks," Journal of Behavioral and Experimental Finance, Elsevier, vol. 23(C), pages 189-197.
    2. Brice Corgnet & Cary Deck & Mark Desantis & Kyle Hampton & Erik O Kimbrough, 2019. "Reconsidering Rational Expectations and the Aggregation of Diverse Information in Laboratory Security Markets," Working Papers halshs-02146611, HAL.
    3. Camelia M. Kuhnen, 2015. "Asymmetric Learning from Financial Information," Journal of Finance, American Finance Association, vol. 70(5), pages 2029-2062, October.
    4. Brice Corgnet & Mark Desantis & David Porter, 2018. "What Makes a Good Trader? On the Role of Intuition and Reflection on Trader Performance," Journal of Finance, American Finance Association, vol. 73(3), pages 1113-1137, June.
    5. Corgnet, Brice & Hernán-González, Roberto & Kujal, Praveen, 2020. "On booms that never bust: Ambiguity in experimental asset markets with bubbles," Journal of Economic Dynamics and Control, Elsevier, vol. 110(C).
    6. Dimitrios Bisias & Mark Flood & Andrew W. Lo & Stavros Valavanis, 2012. "A Survey of Systemic Risk Analytics," Annual Review of Financial Economics, Annual Reviews, vol. 4(1), pages 255-296, October.
    7. Thomas Noe & Nir Vulkan, 2018. "Naked aggression: Personality and portfolio manager performance," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-16, February.
    8. Dedu Vasile & Turcan Ciprian Sebastian, 2010. "Neurofinance: Getting An Insight Into The Trader'S Mind," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(2), pages 723-729, December.
    9. Cary Frydman & Nicholas Barberis & Colin Camerer & Peter Bossaerts & Antonio Rangel, 2012. "Using Neural Data to Test a Theory of Investor Behavior: An Application to Realization Utility," NBER Working Papers 18562, National Bureau of Economic Research, Inc.
    10. Brice Corgnet & Mark DeSantis & David Porter, 2015. "What Makes a Good Trader? On the Role of Quant Skills, Behavioral Biases and Intuition on Trader Performance," Working Papers 15-17, Chapman University, Economic Science Institute.
    11. Corgnet, Brice & DeSantis, Mark & Porter, David, 2020. "The distribution of information and the price efficiency of markets," Journal of Economic Dynamics and Control, Elsevier, vol. 110(C).
    12. Corgnet, Brice & DeSantis, Mark & Porter, David, 2020. "The distribution of information and the price efficiency of markets," Journal of Economic Dynamics and Control, Elsevier, vol. 110(C).
    13. Matthieu Gilson & Kim Oosterlinck & Andrey Ukhov, 2015. "Time-Varying Risk Aversion during World War II: Evidence from Belgian Lottery Bond Prices," Working Papers CEB 15-031, ULB -- Universite Libre de Bruxelles.
    14. George I. Christopoulos & Xiao-Xiao Liu & Ying-yi Hong, 2017. "Toward an Understanding of Dynamic Moral Decision Making: Model-Free and Model-Based Learning," Journal of Business Ethics, Springer, vol. 144(4), pages 699-715, September.
    15. Thomas M. Eisenbach & Martin C. Schmalz, 2015. "Anxiety and pro-cyclical risk taking with Bayesian agents," Staff Reports 711, Federal Reserve Bank of New York.
    16. Hammad, Siddiqi & Austin, Murphy, 2020. "Optimal Resource Allocation in the Brain and the Capital Asset Pricing Model," MPRA Paper 102705, University Library of Munich, Germany.
    17. van Winden, Frans, 2015. "Political economy with affect: On the role of emotions and relationships in political economics," European Journal of Political Economy, Elsevier, vol. 40(PB), pages 298-311.

    More about this item

    Keywords

    neuroeconomics; experimental finance; risk; emotions;
    All these keywords.

    JEL classification:

    • D87 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Neuroeconomics
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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