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Reaching for Returns in Retail Structured Investment

Author

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  • Doron Sonsino

    (Economics Department, Ben-Gurion University, 8410501 Beer-Sheva, Israel)

  • Yaron Lahav

    (Guilford Glaser Faculty of Business and Management, Ben-Gurion University, 8410501 Beer-Sheva, Israel)

  • Yefim Roth

    (Department of Human Services, University of Haifa, 3498838 Haifa, Israel)

Abstract

The growing market for retail structured investment products and empirical evidence for excessive pricing of such products raise the hypothesis that private investors show increased risk appetite in structured investment contexts. A two-stage framed field experiment building on cumulative prospect theory is designed to test this hypothesis. Subjects’ expectations regarding the future performance of an underlying index are elicited first. A bisection algorithm is then applied to derive the certainty equivalents of 20 simple individually tailored deposits. The results support the increased risk appetite hypothesis, revealing that subjects reach for substantial gains and underweight tail loss events when evaluating the deposits. Similar results emerge in a follow-up experiment where the uncertain deposits are replaced by risky versions. While previous studies propose that misperception of complex terms and optimism contribute to the mispricing of structured instruments, the current experiments show that nonstandard risk appetite manifests in the valuation of simple well-defined products, controlling for expectations.

Suggested Citation

  • Doron Sonsino & Yaron Lahav & Yefim Roth, 2022. "Reaching for Returns in Retail Structured Investment," Management Science, INFORMS, vol. 68(1), pages 466-486, January.
    • Handle: RePEc:inm:ormnsc:v:68:y:2022:i:1:p:466-486
    DOI: 10.1287/mnsc.2020.3932
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    as
    1. Patrick Roger, 2008. "Capital Protected Notes for Loss Averse Investors : A Counterintuitive Result," Working Papers of LaRGE Research Center 2008-16, Laboratoire de Recherche en Gestion et Economie (LaRGE), Université de Strasbourg.
    2. Ulrich Schmidt & Horst Zank, 2008. "Risk Aversion in Cumulative Prospect Theory," Management Science, INFORMS, vol. 54(1), pages 208-216, January.
    3. Oliver Entrop & Michael McKenzie & Marco Wilkens & Christoph Winkler, 2016. "The performance of individual investors in structured financial products," Review of Quantitative Finance and Accounting, Springer, vol. 46(3), pages 569-604, April.
    4. Adam Booij & Bernard Praag & Gijs Kuilen, 2010. "A parametric analysis of prospect theory’s functionals for the general population," Theory and Decision, Springer, vol. 68(1), pages 115-148, February.
    5. 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.
    6. Enrica Carbone & Xueqi Dong & John Hey, 2017. "Elicitation of preferences under ambiguity," Journal of Risk and Uncertainty, Springer, vol. 54(2), pages 87-102, April.
    7. Mohammed Abdellaoui & Aurelien Baillon & Laetitia Placido & Peter P. Wakker, 2011. "The Rich Domain of Uncertainty: Source Functions and Their Experimental Implementation," American Economic Review, American Economic Association, vol. 101(2), pages 695-723, April.
    8. 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.
    9. Barberis, Nicholas & Thaler, Richard, 2003. "A survey of behavioral finance," 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 18, pages 1053-1128, Elsevier.
    10. Booij, Adam S. & van de Kuilen, Gijs, 2009. "A parameter-free analysis of the utility of money for the general population under prospect theory," Journal of Economic Psychology, Elsevier, vol. 30(4), pages 651-666, August.
    11. Benjamin L. Collier & Daniel Schwartz & Howard C. Kunreuther & Erwann O. Michel-Kerjan, 2017. "Risk Preferences in Small and Large Stakes: Evidence from Insurance Contract Decisions," NBER Working Papers 23579, National Bureau of Economic Research, Inc.
    12. Grosshans, Daniel & Zeisberger, Stefan, 2018. "All’s well that ends well? On the importance of how returns are achieved," Journal of Banking & Finance, Elsevier, vol. 87(C), pages 397-410.
    13. Nicholas Barberis & Ming Huang, 2008. "Stocks as Lotteries: The Implications of Probability Weighting for Security Prices," American Economic Review, American Economic Association, vol. 98(5), pages 2066-2100, December.
    14. Dimmock, Stephen G. & Kouwenberg, Roy, 2010. "Loss-aversion and household portfolio choice," Journal of Empirical Finance, Elsevier, vol. 17(3), pages 441-459, June.
    15. Thorsten Hens & Marc Oliver Rieger, 2014. "Can utility optimization explain the demand for structured investment products?," Quantitative Finance, Taylor & Francis Journals, vol. 14(4), pages 673-681, April.
    16. Richard H. Thaler, 2008. "Mental Accounting and Consumer Choice," Marketing Science, INFORMS, vol. 27(1), pages 15-25, 01-02.
    17. Lazar, Maya & Levkowitz, Amir & Oren, Amit & Sonsino, Doron, 2017. "A note on receptiveness to loss in structured Investment," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 69(C), pages 92-98.
    18. Ferdinand Vieider, 2009. "The effect of accountability on loss aversion," Post-Print halshs-00451605, HAL.
    19. Pavlo R. Blavatskyy & Ganna Pogrebna, 2010. "Models of stochastic choice and decision theories: why both are important for analyzing decisions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(6), pages 963-986.
    20. Daniel Gregg & John Rolfe, 2017. "Risk Behaviours and Grazing Land Management: A Framed Field Experiment and Linkages to Range Land Condition," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(3), pages 682-709, September.
    21. Ghirardato, Paolo & Maccheroni, Fabio & Marinacci, Massimo, 2004. "Differentiating ambiguity and ambiguity attitude," Journal of Economic Theory, Elsevier, vol. 118(2), pages 133-173, October.
    22. Roberts, David C. & Boyer, Tracy A. & Lusk, Jayson L., 2008. "Preferences for environmental quality under uncertainty," Ecological Economics, Elsevier, vol. 66(4), pages 584-593, July.
    23. Aurélien Baillon & Han Bleichrodt, 2015. "Testing Ambiguity Models through the Measurement of Probabilities for Gains and Losses," American Economic Journal: Microeconomics, American Economic Association, vol. 7(2), pages 77-100, May.
    24. Olivier l'Haridon & Ferdinand M. Vieider, 2019. "All over the map: A worldwide comparison of risk preferences," Quantitative Economics, Econometric Society, vol. 10(1), pages 185-215, January.
    25. Erner, Carsten & Klos, Alexander & Langer, Thomas, 2013. "Can prospect theory be used to predict an investor’s willingness to pay?," Journal of Banking & Finance, Elsevier, vol. 37(6), pages 1960-1973.
    26. Nicholas Barberis & Abhiroop Mukherjee & Baolian Wang, 2016. "Prospect Theory and Stock Returns: An Empirical Test," Review of Financial Studies, Society for Financial Studies, vol. 29(11), pages 3068-3107.
    27. Camerer, Colin & Weber, Martin, 1992. "Recent Developments in Modeling Preferences: Uncertainty and Ambiguity," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 325-370, October.
    28. Glenn W. Harrison & Don Ross, 2017. "The empirical adequacy of cumulative prospect theory and its implications for normative assessment," Journal of Economic Methodology, Taylor & Francis Journals, vol. 24(2), pages 150-165, April.
    29. Das, Sanjiv R. & Statman, Meir, 2013. "Options and structured products in behavioral portfolios," Journal of Economic Dynamics and Control, Elsevier, vol. 37(1), pages 137-153.
    30. Stefan Zeisberger & Dennis Vrecko & Thomas Langer, 2012. "Measuring the time stability of Prospect Theory preferences," Theory and Decision, Springer, vol. 72(3), pages 359-386, March.
    31. Henderson, Brian J. & Pearson, Neil D., 2011. "The dark side of financial innovation: A case study of the pricing of a retail financial product," Journal of Financial Economics, Elsevier, vol. 100(2), pages 227-247, May.
    32. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June.
    33. Enrico Diecidue & Jeroen van de Ven, 2008. "Aspiration Level, Probability Of Success And Failure, And Expected Utility," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 49(2), pages 683-700, May.
    34. Rosella Castellano & Roy Cerqueti, 2013. "Roots and effects of financial misperception in a stochastic dominance framework," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(6), pages 3371-3389, October.
    35. Aurélien Baillon, 2008. "Eliciting Subjective Probabilities Through Exchangeable Events: An Advantage and a Limitation," Decision Analysis, INFORMS, vol. 5(2), pages 76-87, June.
    36. Ert, Eyal & Erev, Ido, 2008. "The rejection of attractive gambles, loss aversion, and the lemon avoidance heuristic," Journal of Economic Psychology, Elsevier, vol. 29(5), pages 715-723, November.
    37. Kunz, Alexis H. & Messner, Claude & Wallmeier, Martin, 2017. "Investors’ risk perceptions of structured financial products with worst-of payout characteristics," Journal of Behavioral and Experimental Finance, Elsevier, vol. 15(C), pages 66-73.
    38. Drazen Prelec, 1998. "The Probability Weighting Function," Econometrica, Econometric Society, vol. 66(3), pages 497-528, May.
    39. Venkatraman, Vinod & Payne, John W. & Huettel, Scott A., 2014. "An overall probability of winning heuristic for complex risky decisions: Choice and eye fixation evidence," Organizational Behavior and Human Decision Processes, Elsevier, vol. 125(2), pages 73-87.
    40. Clarke, Kevin A., 2007. "A Simple Distribution-Free Test for Nonnested Model Selection," Political Analysis, Cambridge University Press, vol. 15(3), pages 347-363, July.
    41. Peiran Jiao, 2020. "Payoff-Based Belief Distortion," The Economic Journal, Royal Economic Society, vol. 130(629), pages 1416-1444.
    42. Li, Xindan & Subrahmanyam, Avanidhar & Yang, Xuewei, 2018. "Can financial innovation succeed by catering to behavioral preferences? Evidence from a callable options market," Journal of Financial Economics, Elsevier, vol. 128(1), pages 38-65.
    43. Krzysztof Kontek & Michal Lewandowski, 2018. "Range-Dependent Utility," Management Science, INFORMS, vol. 64(6), pages 2812-2832, June.
    44. repec:cup:judgdm:v:12:y:2017:i:1:p:81-89 is not listed on IDEAS
    45. Andra C Ghent & Walter N Torous & Rossen I Valkanov, 2019. "Complexity in Structured Finance," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(2), pages 694-722.
    46. Stephen Dimmock & Roy Kouwenberg & Olivia Mitchell & Kim Peijnenburg, 2015. "Estimating ambiguity preferences and perceptions in multiple prior models: Evidence from the field," Journal of Risk and Uncertainty, Springer, vol. 51(3), pages 219-244, December.
    47. Michael Kilka & Martin Weber, 2001. "What Determines the Shape of the Probability Weighting Function Under Uncertainty?," Management Science, INFORMS, vol. 47(12), pages 1712-1726, December.
    48. Enrico Diecidue & Jeroen Van De Ven, 2008. "Aspiration Level, Probability Of Success And Failure, And Expected Utility," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 49(2), pages 683-700, May.
    49. De Bondt, Werner P. M., 1993. "Betting on trends: Intuitive forecasts of financial risk and return," International Journal of Forecasting, Elsevier, vol. 9(3), pages 355-371, November.
    50. Raghuram G. Rajan, 2006. "Has Finance Made the World Riskier?," European Financial Management, European Financial Management Association, vol. 12(4), pages 499-533, September.
    51. Doron Sonsino & Uri Benzion & Galit Mador, 2002. "The Complexity Effects on Choice with Uncertainty — Experimental Evidence," Economic Journal, Royal Economic Society, vol. 112(482), pages 936-965, October.
    52. Schertler, Andrea, 2016. "Pricing effects when competitors arrive: The case of discount certificates in Germany," Journal of Banking & Finance, Elsevier, vol. 68(C), pages 84-99.
    53. Sonsino, Doron & Regev, Eran, 2013. "Informational overconfidence in return prediction – More properties," Journal of Economic Psychology, Elsevier, vol. 39(C), pages 72-84.
    54. Guido Baltussen & Martijn J. van den Assem & Dennie van Dolder, 2016. "Risky Choice in the Limelight," The Review of Economics and Statistics, MIT Press, vol. 98(2), pages 318-332, May.
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