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The prospect of a perfect ending: Loss aversion and the round-number bias

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  • Fraser-Mackenzie, P.
  • Sung, M.
  • Johnson, J.E.V.

Abstract

Studies across a range of domains have shown that individuals tend to focus on round numbers as cognitive reference points; a so-called left-digit effect. We explain this effect by combining analog numerical heuristics with prospect theory in order to develop an analog value function that predicts the key characteristics of the left-digit effect. Most importantly, this value function predicts an unreported phenomenon, namely; that the left-digit effect will be more pronounced in situations involving losses (cf. gains). We confirm this prediction in both a laboratory experiment regarding hypothetical investments and analysis of buy–sell imbalances in over 15million trades by investors in a financial market. We conclude that our analog value function is a promising explanation for the left-digit effect. Furthermore, we suggest that interventions aimed at reducing costly buy–sell imbalances in financial markets should focus on the decisions made by investors when they are facing loss.

Suggested Citation

  • Fraser-Mackenzie, P. & Sung, M. & Johnson, J.E.V., 2015. "The prospect of a perfect ending: Loss aversion and the round-number bias," Organizational Behavior and Human Decision Processes, Elsevier, vol. 131(C), pages 67-80.
  • Handle: RePEc:eee:jobhdp:v:131:y:2015:i:c:p:67-80
    DOI: 10.1016/j.obhdp.2015.08.004
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    1. Mark Stiving, 2000. "Price-Endings When Prices Signal Quality," Management Science, INFORMS, vol. 46(12), pages 1617-1629, December.
    2. Victor Niederhoffer, 1965. "A New Look at Clustering of Stock Prices," The Journal of Business, University of Chicago Press, vol. 39, pages 309-309.
    3. Nicola Lacetera & Devin G. Pope & Justin R. Sydnor, 2012. "Heuristic Thinking and Limited Attention in the Car Market," American Economic Review, American Economic Association, vol. 102(5), pages 2206-2236, August.
    4. Stiving, Mark & Winer, Russell S, 1997. "An Empirical Analysis of Price Endings with Scanner Data," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 24(1), pages 57-67, June.
    5. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    6. 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.
    7. Summers, Barbara & Duxbury, Darren, 2012. "Decision-dependent emotions and behavioral anomalies," Organizational Behavior and Human Decision Processes, Elsevier, vol. 118(2), pages 226-238.
    8. Meghan R. Busse & Nicola Lacetera & Devin G. Pope & Jorge Silva-Risso & Justin R. Sydnor, 2013. "Estimating the Effect of Salience in Wholesale and Retail Car Markets," American Economic Review, American Economic Association, vol. 103(3), pages 575-579, May.
    9. 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..
    10. Peter Fraser-Mackenzie & Itiel Dror, 2011. "Dynamic reasoning and time pressure: Transition from analytical operations to experiential responses," Theory and Decision, Springer, vol. 71(2), pages 211-225, August.
    11. Chaoshin Chiao & Zi‐May Wang, 2009. "Price Clustering: Evidence Using Comprehensive Limit‐Order Data," The Financial Review, Eastern Finance Association, vol. 44(1), pages 1-29, February.
    12. Harris, Lawrence, 1991. "Stock Price Clustering and Discreteness," The Review of Financial Studies, Society for Financial Studies, vol. 4(3), pages 389-415.
    13. David L. Ikenberry & James P. Weston, 2008. "Clustering in US Stock Prices after Decimalisation," European Financial Management, European Financial Management Association, vol. 14(1), pages 30-54, January.
    14. Utpal Bhattacharya & Craig W. Holden & Stacey Jacobsen, 2012. "Penny Wise, Dollar Foolish: Buy-Sell Imbalances On and Around Round Numbers," Management Science, INFORMS, vol. 58(2), pages 413-431, February.
    15. Kenneth C. Manning & David E. Sprott, 2009. "Price Endings, Left-Digit Effects, and Choice," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 36(2), pages 328-335.
    16. Basu, Kaushik, 1997. "Why are so many goods priced to end in nine? And why this practice hurts the producers," Economics Letters, Elsevier, vol. 54(1), pages 41-44, January.
    17. 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.
    18. Victor Niederhoffer, 1965. "Clustering of Stock Prices," Operations Research, INFORMS, vol. 13(2), pages 258-265, April.
    19. Manoj Thomas & Vicki Morwitz, 2005. "Penny Wise and Pound Foolish: The Left-Digit Effect in Price Cognition," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 32(1), pages 54-64, June.
    20. Ahn, Hee-Joon & Cai, Jun & Cheung, Yan Leung, 2005. "Price clustering on the limit-order book: Evidence from the Stock Exchange of Hong Kong," Journal of Financial Markets, Elsevier, vol. 8(4), pages 421-451, November.
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    Cited by:

    1. Chen, Tao, 2018. "Round-number biases and informed trading in global markets," Journal of Business Research, Elsevier, vol. 92(C), pages 105-117.
    2. John List, 2021. "How Field Experiments in Economics Can Complement Psychological Research on Judgment Biases," Natural Field Experiments 00738, The Field Experiments Website.
    3. Stephen L. Ross & Tingyu Zhou, 2020. "Documenting Loss Aversion using Evidence of Round Number Bias," Working papers 2020-17, University of Connecticut, Department of Economics.
    4. Matteo Migheli, 2017. "The winner’s curse in auctions with losses," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 16(1), pages 113-126, November.
    5. Kimbrough, Erik O. & Porter, David & Schneider, Mark, 2021. "Reference dependent prices in bargaining: An experimental examination of precise first offers," Journal of Economic Psychology, Elsevier, vol. 86(C).
    6. Stephen L. Ross & Tingyu Zhou, 2020. "Documenting Loss Aversion Using Evidence of Round Number Bias," Working Papers 2020-079, Human Capital and Economic Opportunity Working Group.
    7. Haim Levy & Moshe Levy, 2021. "Prospect theory, constant relative risk aversion, and the investment horizon," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-21, April.

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