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Can Myopic Loss Aversion Explain the Equity Premium Puzzle? Evidence from a Natural Field Experiment with Professional Traders

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  • Francis Larson
  • John A. List
  • Robert D. Metcalfe

Abstract

Behavioral economists have recently put forth a theoretical explanation for the equity premium puzzle based on combining myopia and loss aversion. Complementing the behavioral theory is evidence from laboratory experiments, which provide strong empirical support consistent with myopic loss aversion (MLA). Yet, whether, and to what extent, such preferences underlie behaviors of traders in their natural domain remains unknown. Indeed, a necessary condition for the MLA theory to explain the equity premium puzzle is for marginal traders in markets to exhibit such preferences. Using minute-by-minute trading observations from over 864,000 price realizations in a natural field experiment, we find data patterns consonant with MLA: in their normal course of business, professional traders who receive infrequent price information invest 33% more in risky assets, yielding profits that are 53% higher, compared to traders who receive frequent price information. Beyond testing theory, these results have important implications for efficient resource allocation as well as characterizing the optimal structure of social and economic policies.

Suggested Citation

  • Francis Larson & John A. List & Robert D. Metcalfe, 2016. "Can Myopic Loss Aversion Explain the Equity Premium Puzzle? Evidence from a Natural Field Experiment with Professional Traders," NBER Working Papers 22605, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:22605
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    1. 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.
    2. Michael S. Haigh & John A. List, 2005. "Do Professional Traders Exhibit Myopic Loss Aversion? An Experimental Analysis," Journal of Finance, American Finance Association, vol. 60(1), pages 523-534, February.
    3. Bellemare, Charles & Krause, Michaela & Kroger, Sabine & Zhang, Chendi, 2005. "Myopic loss aversion: Information feedback vs. investment flexibility," Economics Letters, Elsevier, vol. 87(3), pages 319-324, June.
    4. Glenn W. Harrison & Morten I. Lau & E. Elisabet Rutström, 2007. "Estimating Risk Attitudes in Denmark: A Field Experiment," Scandinavian Journal of Economics, Wiley Blackwell, vol. 109(2), pages 341-368, June.
    5. Mohammed Abdellaoui & Han Bleichrodt & Hilda Kammoun, 2013. "Do financial professionals behave according to prospect theory? An experimental study," Theory and Decision, Springer, vol. 74(3), pages 411-429, March.
    6. Omar Al-Ubaydli & John List, 2012. "On the Generalizability of Experimental Results in Economics," Artefactual Field Experiments 00467, The Field Experiments Website.
    7. Glenn W. Harrison & John A. List, 2004. "Field Experiments," Journal of Economic Literature, American Economic Association, vol. 42(4), pages 1009-1055, December.
    8. 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.
    9. Uri Gneezy & Arie Kapteyn & Jan Potters, 2003. "Evaluation Periods and Asset Prices in a Market Experiment," Journal of Finance, American Finance Association, vol. 58(2), pages 821-837, April.
    10. Sutter, Matthias, 2007. "Are teams prone to myopic loss aversion? An experimental study on individual versus team investment behavior," Economics Letters, Elsevier, vol. 97(2), pages 128-132, November.
    11. Gneezy, U. & Kapteyn, A. & Potters, J.J.M., 2003. "Evaluation periods and asset prices in a market experience," Other publications TiSEM 55910884-79d7-483c-abbb-1, Tilburg University, School of Economics and Management.
    12. 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..
    13. 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.
    14. 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.
    15. Steven D. Levitt & John A. List, 2007. "What Do Laboratory Experiments Measuring Social Preferences Reveal About the Real World?," Journal of Economic Perspectives, American Economic Association, vol. 21(2), pages 153-174, Spring.
    16. Mehra, Rajnish & Prescott, Edward C., 1985. "The equity premium: A puzzle," Journal of Monetary Economics, Elsevier, vol. 15(2), pages 145-161, March.
    17. Mehra, Rajnish & Prescott, Edward C., 2003. "The equity premium in retrospect," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, edition 1, volume 1, chapter 14, pages 889-938, Elsevier.
    18. John A. List, 2004. "Neoclassical Theory Versus Prospect Theory: Evidence from the Marketplace," Econometrica, Econometric Society, vol. 72(2), pages 615-625, March.
    19. Azeredo, Francisco, 2007. "The Equity Premium: A Deeper Puzzle," University of California at Santa Barbara, Economics Working Paper Series qt6ks5p6v5, Department of Economics, UC Santa Barbara.
    20. Uri Gneezy & Arie Kapteyn & Jan Potters, 2003. "Evaluation Periods and Asset Prices in a Market Experiment," Journal of Finance, American Finance Association, vol. 58(2), pages 821-838, April.
    21. John A. List, 2003. "Does Market Experience Eliminate Market Anomalies?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(1), pages 41-71.
    22. Francisco Azeredo, 2014. "The equity premium: a deeper puzzle," Annals of Finance, Springer, vol. 10(3), pages 347-373, August.
    23. Amit Seru & Tyler Shumway & Noah Stoffman, 2010. "Learning by Trading," The Review of Financial Studies, Society for Financial Studies, vol. 23(2), pages 705-739, February.
    24. Nicholas Barberis & Ming Huang & Tano Santos, 2001. "Prospect Theory and Asset Prices," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(1), pages 1-53.
    25. Narayana R. Kocherlakota, 1996. "The Equity Premium: It's Still a Puzzle," Journal of Economic Literature, American Economic Association, vol. 34(1), pages 42-71, March.
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    Cited by:

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    3. Trutmann, Kevin & Heinke, Steve & Rieskamp, Jörg, 2023. "Take your time: How delayed information and restricted decision opportunities improve belief formation in investment decisions," Finance Research Letters, Elsevier, vol. 51(C).
    4. Kazuo Sano, 2022. "New Concept for the Value Function of Prospect Theory," Papers 2211.00131, arXiv.org, revised Mar 2024.
    5. Iturbe-Ormaetxe, Iñigo & Ponti, Giovanni & Tomás, Josefa, 2019. "Is it myopia or loss aversion? A study on investment game experiments," Economics Letters, Elsevier, vol. 180(C), pages 36-40.
    6. Constantin Mellios & Anh Ngoc Lai, 2022. "Incentive Fees with a Moving Benchmark and Portfolio Selection under Loss Aversion," Post-Print hal-03708926, HAL.
    7. Nicholas Barberis & Lawrence J. Jin & Baolian Wang, 2021. "Prospect Theory and Stock Market Anomalies," Journal of Finance, American Finance Association, vol. 76(5), pages 2639-2687, October.
    8. Adam Farago & Martin Holmén & Felix Holzmeister & Michael Kirchler & Michael Razen, 2022. "Cognitive Skills and Economic Preferences in the Fund Industry," The Economic Journal, Royal Economic Society, vol. 132(645), pages 1737-1764.
    9. Johannes Carow & Niklas M. Witzig, 2024. "Time Pressure and Strategic Risk-Taking in Professional Chess," Working Papers 2404, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
    10. Mosenhauer, Moritz, 2020. "Information Management against Excessive Stock Trading: More or Less? Or Both?," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224549, Verein für Socialpolitik / German Economic Association.
    11. Penghang Liu & Kshama Dwarakanath & Svitlana S Vyetrenko & Tucker Balch, 2022. "Limited or Biased: Modeling Sub-Rational Human Investors in Financial Markets," Papers 2210.08569, arXiv.org, revised Mar 2024.
    12. Hueber, Laura & Schwaiger, Rene, 2022. "Debiasing through experience sampling: The case of myopic loss aversion," Journal of Economic Behavior & Organization, Elsevier, vol. 198(C), pages 87-138.
    13. Morais, Marcleiton Ribeiro & Schoti, Camila & Resende, José Guilherme de Lara & Tabak, Benjamin Miranda, 2023. "Limits to Myopic loss aversion and learning," Economics Letters, Elsevier, vol. 229(C).

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    More about this item

    JEL classification:

    • C9 - Mathematical and Quantitative Methods - - Design of Experiments
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • G02 - Financial Economics - - General - - - Behavioral Finance: Underlying Principles
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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