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Insensitive Investors

Author

Listed:
  • Constantin Charles
  • Cary D. Frydman
  • Mete Kilic

Abstract

We show theoretically that the weak transmission of beliefs to actions induces a strong bias in basic asset pricing tests. In particular, expected returns can appear to decline in risk when investors weakly transmit their payoff expectations into willingness to pay. We experimentally test this prediction and find that subjects exhibit an extremely weak transmission of beliefs to actions, which generates a negative risk-return relation. We argue that the weak transmission is due to cognitive noise and demonstrate that cognitive noise causally affects the risk-return relation. Our results highlight the importance of incorporating weak transmission into belief-based asset pricing models.

Suggested Citation

  • Constantin Charles & Cary D. Frydman & Mete Kilic, 2022. "Insensitive Investors," CESifo Working Paper Series 10067, CESifo.
  • Handle: RePEc:ces:ceswps:_10067
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    References listed on IDEAS

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    1. Khaw, Mel Win & Stevens, Luminita & Woodford, Michael, 2017. "Discrete adjustment to a changing environment: Experimental evidence," Journal of Monetary Economics, Elsevier, vol. 91(C), pages 88-103.
    2. Markus Brunnermeier & Emmanuel Farhi & Ralph S J Koijen & Arvind Krishnamurthy & Sydney C Ludvigson & Hanno Lustig & Stefan Nagel & Monika Piazzesi, 2021. "Review Article: Perspectives on the Future of Asset Pricing [Do survey expectations of stock returns reflect risk-adjustments?]," The Review of Financial Studies, Society for Financial Studies, vol. 34(4), pages 2126-2160.
    3. John Ameriks & Gábor Kézdi & Minjoon Lee & Matthew D. Shapiro, 2020. "Heterogeneity in Expectations, Risk Tolerance, and Household Stock Shares: The Attenuation Puzzle," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(3), pages 633-646, July.
    4. Hirshleifer, David & Li, Jun & Yu, Jianfeng, 2015. "Asset pricing in production economies with extrapolative expectations," Journal of Monetary Economics, Elsevier, vol. 76(C), pages 87-106.
    5. Jin, Lawrence J. & Sui, Pengfei, 2022. "Asset pricing with return extrapolation," Journal of Financial Economics, Elsevier, vol. 145(2), pages 273-295.
    6. Drerup, Tilman & Enke, Benjamin & von Gaudecker, Hans-Martin, 2017. "The precision of subjective data and the explanatory power of economic models," Journal of Econometrics, Elsevier, vol. 200(2), pages 378-389.
    7. Camelia M. Kuhnen, 2015. "Asymmetric Learning from Financial Information," Journal of Finance, American Finance Association, vol. 70(5), pages 2029-2062, October.
    8. Michael Johannes & Lars A. Lochstoer & Yiqun Mou, 2016. "Learning about Consumption Dynamics," Journal of Finance, American Finance Association, vol. 71(2), pages 551-600, April.
    9. James J. Choi & Adriana Z. Robertson, 2020. "What Matters to Individual Investors? Evidence from the Horse's Mouth," Journal of Finance, American Finance Association, vol. 75(4), pages 1965-2020, August.
    10. Ricardo De La O & Sean Myers, 2021. "Subjective Cash Flow and Discount Rate Expectations," Journal of Finance, American Finance Association, vol. 76(3), pages 1339-1387, June.
    11. Robin Greenwood & Andrei Shleifer, 2014. "Expectations of Returns and Expected Returns," The Review of Financial Studies, Society for Financial Studies, vol. 27(3), pages 714-746.
    12. Michael Woodford, 2020. "Modeling Imprecision in Perception, Valuation, and Choice," Annual Review of Economics, Annual Reviews, vol. 12(1), pages 579-601, August.
    13. Stefano Giglio & Bryan Kelly, 2018. "Excess Volatility: Beyond Discount Rates," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(1), pages 71-127.
    14. Cary Frydman & Nicholas Barberis & Colin Camerer & Peter Bossaerts & Antonio Rangel, 2014. "Using Neural Data to Test a Theory of Investor Behavior: An Application to Realization Utility," Journal of Finance, American Finance Association, vol. 69(2), pages 907-946, April.
    15. John H. Cochrane, 2011. "Presidential Address: Discount Rates," Journal of Finance, American Finance Association, vol. 66(4), pages 1047-1108, August.
    16. Samuel M Hartzmark & Samuel D Hirshman & Alex Imas, 2021. "Ownership, Learning, and Beliefs," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 136(3), pages 1665-1717.
    17. Barberis, Nicholas & Greenwood, Robin & Jin, Lawrence & Shleifer, Andrei, 2015. "X-CAPM: An extrapolative capital asset pricing model," Journal of Financial Economics, Elsevier, vol. 115(1), pages 1-24.
    18. Ralph S. J. Koijen & Motohiro Yogo, 2019. "A Demand System Approach to Asset Pricing," Journal of Political Economy, University of Chicago Press, vol. 127(4), pages 1475-1515.
    19. John Y. Campbell, Robert J. Shiller, 1988. "The Dividend-Price Ratio and Expectations of Future Dividends and Discount Factors," The Review of Financial Studies, Society for Financial Studies, vol. 1(3), pages 195-228.
    20. Pedro Bordalo & Nicola Gennaioli & Rafael La Porta & Andrei Shleifer, 2019. "Diagnostic Expectations and Stock Returns," Journal of Finance, American Finance Association, vol. 74(6), pages 2839-2874, December.
    21. Barberis, Nicholas & Greenwood, Robin & Jin, Lawrence & Shleifer, Andrei, 2018. "Extrapolation and bubbles," Journal of Financial Economics, Elsevier, vol. 129(2), pages 203-227.
    22. Da, Zhi & Huang, Xing & Jin, Lawrence J., 2021. "Extrapolative beliefs in the cross-section: What can we learn from the crowds?," Journal of Financial Economics, Elsevier, vol. 140(1), pages 175-196.
    23. Haoyang Liu & Christopher Palmer, 2021. "Are Stated Expectations Actual Beliefs? New Evidence for the Beliefs Channel of Investment Demand," NBER Working Papers 28926, National Bureau of Economic Research, Inc.
    24. Veronesi, Pietro, 1999. "Stock Market Overreaction to Bad News in Good Times: A Rational Expectations Equilibrium Model," The Review of Financial Studies, Society for Financial Studies, vol. 12(5), pages 975-1007.
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    Keywords

    investor behavior; cognitive noise; portfolio choice;
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