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An agent-based model of repeated decision making under risk: modeling the role of alternate reference points and risk behavior on long-run outcomes

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  • Arpan Jani

    (University of Wisconsin-River Falls)

Abstract

Prospect theory suggests that decision makers facing uncertain outcomes tend to be risk-seeking when choosing between losses but risk-averse when choosing between gains. Whether an outcome is framed as a gain or a loss depends on the reference point considered. While multiple reference points could be relevant to decision makers in a particular situation, prospect theory does not specify which reference point will be salient other than the status-quo. Social comparison theory proposes that individuals often compare their performance with relevant others, and hence this could become a reference point. An agent-based model (ABM) was developed drawing upon these two theories. In each time step of the simulation, agents invested a proportion of their current wealth in one of three investment options with varied risks, resulting in increase or decrease of their wealth. Agents then compared the outcome of their investment, i.e., their new wealth, with a reference point to determine whether the outcome was a gain or a loss. The ABM investigated the consequences of adopting five alternate reference points for evaluating an outcome as a gain or a loss (comparison rules), seven alternate strategies for selecting an investment option (investment rules), and three levels of proportion of wealth (low, medium, high) that was reinvested on the prevalence of investment options (riskiest, safest, or medium risk) chosen by agents, the mean wealth acquired, and the median-to-mean ratio of wealth. Results revealed conditions under which the riskiest or the safest investment option emerged as the most prevalent.

Suggested Citation

  • Arpan Jani, 2021. "An agent-based model of repeated decision making under risk: modeling the role of alternate reference points and risk behavior on long-run outcomes," Journal of Business Economics, Springer, vol. 91(9), pages 1271-1297, November.
    • Handle: RePEc:spr:jbecon:v:91:y:2021:i:9:d:10.1007_s11573-021-01048-7
    DOI: 10.1007/s11573-021-01048-7
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    References listed on IDEAS

    as
    1. Jona Linde & Joep Sonnemans, 2012. "Social comparison and risky choices," Journal of Risk and Uncertainty, Springer, vol. 44(1), pages 45-72, February.
    2. Richard H. Thaler & Amos Tversky & Daniel Kahneman & Alan Schwartz, 1997. "The Effect of Myopia and Loss Aversion on Risk Taking: An Experimental Test," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 647-661.
    3. Shu Li, 2003. "The role of Expected Value illustrated in decision-making under risk: single-play vs multiple-play," Journal of Risk Research, Taylor & Francis Journals, vol. 6(2), pages 113-124, March.
    4. Amos Tversky & Daniel Kahneman, 1991. "Loss Aversion in Riskless Choice: A Reference-Dependent Model," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(4), pages 1039-1061.
    5. Shlomo Benartzi & Richard H. Thaler, 1999. "Risk Aversion or Myopia? Choices in Repeated Gambles and Retirement Investments," Management Science, INFORMS, vol. 45(3), pages 364-381, March.
    6. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    7. Markus Schöbel & Jörg Rieskamp & Rafael Huber, 2016. "Social Influences in Sequential Decision Making," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-23, January.
    8. Samuelson, William & Zeckhauser, Richard, 1988. "Status Quo Bias in Decision Making," Journal of Risk and Uncertainty, Springer, vol. 1(1), pages 7-59, March.
    9. Bogaçhan Çelen & Shachar Kariv, 2004. "Distinguishing Informational Cascades from Herd Behavior in the Laboratory," American Economic Review, American Economic Association, vol. 94(3), pages 484-498, June.
    10. Uri Gneezy & Jan Potters, 1997. "An Experiment on Risk Taking and Evaluation Periods," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 631-645.
    11. repec:cup:judgdm:v:5:y:2010:i:5:p:339-346 is not listed on IDEAS
    12. David Hirshleifer & Siew Hong Teoh, 2003. "Herd Behaviour and Cascading in Capital Markets: a Review and Synthesis," European Financial Management, European Financial Management Association, vol. 9(1), pages 25-66, March.
    13. Shefrin, Hersh & Statman, Meir, 1985. "The Disposition to Sell Winners Too Early and Ride Losers Too Long: Theory and Evidence," Journal of Finance, American Finance Association, vol. 40(3), pages 777-790, July.
    14. 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.
    15. Huber, Oswald & Wearing, Alexander J., 2002. "Better ways of breeding Lizards: simulating three strategies for managing a multistage investment decision task," Risk, Decision and Policy, Cambridge University Press, vol. 7(3), pages 285-308, December.
    16. Shlomo Benartzi & Richard H. Thaler, 1995. "Myopic Loss Aversion and the Equity Premium Puzzle," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(1), pages 73-92.
    17. Mehra, Rajnish & Prescott, Edward C., 1985. "The equity premium: A puzzle," Journal of Monetary Economics, Elsevier, vol. 15(2), pages 145-161, March.
    18. Sergei Maslov & Yi-Cheng Zhang, 1998. "Optimal Investment Strategy for Risky Assets," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 1(03), pages 377-387.
    19. Richard H. Thaler & Eric J. Johnson, 1990. "Gambling with the House Money and Trying to Break Even: The Effects of Prior Outcomes on Risky Choice," Management Science, INFORMS, vol. 36(6), pages 643-660, June.
    20. Sergei Maslov & Yi-Cheng Zhang, 1998. "Optimal Investment Strategy for Risky Assets," Papers cond-mat/9801240, arXiv.org.
    21. Alexander Klos & Elke U. Weber & Martin Weber, 2005. "Investment Decisions and Time Horizon: Risk Perception and Risk Behavior in Repeated Gambles," Management Science, INFORMS, vol. 51(12), pages 1777-1790, December.
    22. Nadège Bault & Giorgio Coricelli & Aldo Rustichini, 2008. "Interdependent Utilities: How Social Ranking Affects Choice Behavior," PLOS ONE, Public Library of Science, vol. 3(10), pages 1-10, October.
    23. Ravi Dhar & Ning Zhu, 2006. "Up Close and Personal: Investor Sophistication and the Disposition Effect," Management Science, INFORMS, vol. 52(5), pages 726-740, May.
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    Cited by:

    1. Kai Fischbach & Johannes Marx & Tim Weitzel, 2021. "Agent-based modeling in social sciences," Journal of Business Economics, Springer, vol. 91(9), pages 1263-1270, November.

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    More about this item

    Keywords

    Agent-based modeling; Prospect theory; Repeated choice; Risk-taking; Social comparison;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making

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