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Five facts about beliefs and portfolios

Author

Listed:
  • Stefano Giglio
  • Matteo Maggiori
  • Johannes Stroebel
  • Stephen Utkus

Abstract

We administer a newly-designed survey to a large panel of retail investors who have substantial wealth invested in financial markets. The survey elicits beliefs that are crucial for macroeconomics and finance, and matches respondents with administrative data on their portfolio composition and their trading activity. We establish five facts in this data: (1) Beliefs are reflected in portfolio allocations. The sensitivity of portfolios to beliefs is small on average, but varies significantly with investor wealth, attention, trading frequency, and confidence. (2) It is hard to predict when investors trade, but conditional on trading, belief changes affect both the direction and the magnitude of trades. (3) Beliefs are mostly characterized by large and persistent individual heterogeneity; demographic characteristics explain only a small part of why some individuals are optimistic and some are pessimistic. (4) Investors who expect higher cash flow growth also expect higher returns and lower long-term price-dividend ratios. (5) Expected returns and the subjective probability of rare disasters are negatively related, both within and across investors. These five facts challenge the rational expectation framework for macro-finance, and provide important guidance for the design of behavioral models.

Suggested Citation

  • Stefano Giglio & Matteo Maggiori & Johannes Stroebel & Stephen Utkus, 2019. "Five facts about beliefs and portfolios," CESifo Working Paper Series 7666, CESifo.
  • Handle: RePEc:ces:ceswps:_7666
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    as
    1. Adam, Klaus & Matveev, Dmitry & Nagel, Stefan, 2021. "Do survey expectations of stock returns reflect risk adjustments?," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 723-740.
    2. John Ameriks & Joseph Briggs & Andrew Caplin & Minjoon Lee & Matthew D. Shapiro & Christopher Tonetti, 2020. "Older Americans Would Work Longer If Jobs Were Flexible," American Economic Journal: Macroeconomics, American Economic Association, vol. 12(1), pages 174-209, January.
    3. Mariana García-Schmidt & Michael Woodford, 2019. "Are Low Interest Rates Deflationary? A Paradox of Perfect-Foresight Analysis," American Economic Review, American Economic Association, vol. 109(1), pages 86-120, January.
    4. John Ameriks & Joseph Briggs & Andrew Caplin & Matthew D. Shapiro & Christopher Tonetti, 2016. "The Long-Term-Care Insurance Puzzle: Modeling and Measurement," NBER Working Papers 22726, National Bureau of Economic Research, Inc.
    5. Olivier Coibion & Yuriy Gorodnichenko & Rupal Kamdar, 2018. "The Formation of Expectations, Inflation, and the Phillips Curve," Journal of Economic Literature, American Economic Association, vol. 56(4), pages 1447-1491, December.
    6. Bacchetta, Philippe & Mertens, Elmar & van Wincoop, Eric, 2009. "Predictability in financial markets: What do survey expectations tell us?," Journal of International Money and Finance, Elsevier, vol. 28(3), pages 406-426, April.
    7. John Y. Campbell & Luis M. Viceira, 1999. "Consumption and Portfolio Decisions when Expected Returns are Time Varying," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(2), pages 433-495.
    8. Harrison Hong & Jeremy C. Stein, 1999. "A Unified Theory of Underreaction, Momentum Trading, and Overreaction in Asset Markets," Journal of Finance, American Finance Association, vol. 54(6), pages 2143-2184, December.
    9. John Beshears & James J. Choi & David Laibson & Brigitte C. Madrian, 2009. "The Importance of Default Options for Retirement Saving Outcomes: Evidence from the United States," NBER Chapters, in: Social Security Policy in a Changing Environment, pages 167-195, National Bureau of Economic Research, Inc.
    10. Karl E. Case & Robert J. Shiller & Anne K. Thompson, 2012. "What Have They Been Thinking? Homebuyer Behavior in Hot and Cold Markets," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 43(2 (Fall)), pages 265-315.
    11. Malmendier, Ulrike & Tate, Geoffrey, 2008. "Who makes acquisitions? CEO overconfidence and the market's reaction," Journal of Financial Economics, Elsevier, vol. 89(1), pages 20-43, July.
    12. Ben Gillen & Erik Snowberg & Leeat Yariv, 2015. "Experimenting with Measurement Error: Techniques with Applications to the Caltech Cohort Study," NBER Working Papers 21517, National Bureau of Economic Research, Inc.
    13. Olivier Coibion & Yuriy Gorodnichenko, 2012. "What Can Survey Forecasts Tell Us about Information Rigidities?," Journal of Political Economy, University of Chicago Press, vol. 120(1), pages 116-159.
    14. LuisM. Viceira & John Y. Campbell, 2001. "Who Should Buy Long-Term Bonds?," American Economic Review, American Economic Association, vol. 91(1), pages 99-127, March.
    15. Adam, Klaus & Beutel, Johannes & Marcet, Albert & Merkel, Sebastian, 2015. "Can a financial transaction tax prevent stock price booms?," Journal of Monetary Economics, Elsevier, vol. 76(S), pages 90-109.
    16. 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.
    17. 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.
    18. Fernando Alvarez & Luigi Guiso & Francesco Lippi, 2012. "Durable Consumption and Asset Management with Transaction and Observation Costs," American Economic Review, American Economic Association, vol. 102(5), pages 2272-2300, August.
    19. 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.
    20. Thesmar, David & Landier, Augustin & Ma, Yueran, 2017. "New Experimental Evidence on Expectations Formation," CEPR Discussion Papers 12527, C.E.P.R. Discussion Papers.
    21. Jeff Dominitz & Charles F. Manski, 2007. "Expected Equity Returns and Portfolio Choice: Evidence from the Health and Retirement Study," Journal of the European Economic Association, MIT Press, vol. 5(2-3), pages 369-379, 04-05.
    22. 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.
    23. Duffie, Darrell & Sun, Tong-sheng, 1990. "Transactions costs and portfolio choice in a discrete-continuous-time setting," Journal of Economic Dynamics and Control, Elsevier, vol. 14(1), pages 35-51, February.
    24. Péter Hudomiet & Gábor Kézdi & Robert J. Willis, 2011. "Stock market crash and expectations of American households," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(3), pages 393-415, April.
    25. 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.
    26. Kyle, Albert S & Wang, F Albert, 1997. "Speculation Duopoly with Agreement to Disagree: Can Overconfidence Survive the Market Test?," Journal of Finance, American Finance Association, vol. 52(5), pages 2073-2090, December.
    27. Campbell, John Y. & Viceira, Luis M., 2002. "Strategic Asset Allocation: Portfolio Choice for Long-Term Investors," OUP Catalogue, Oxford University Press, number 9780198296942.
    28. Xavier Gabaix, 2020. "A Behavioral New Keynesian Model," American Economic Review, American Economic Association, vol. 110(8), pages 2271-2327, August.
    29. Monika Piazzesi & Martin Schneider, 2009. "Momentum Traders in the Housing Market: Survey Evidence and a Search Model," American Economic Review, American Economic Association, vol. 99(2), pages 406-411, May.
    30. 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.
    31. John Ameriks & Joseph Briggs & Andrew Caplin & Matthew D. Shapiro & Christopher Tonetti, 2020. "Long-Term-Care Utility and Late-in-Life Saving," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2375-2451.
    32. Xavier Gabaix, 2012. "Variable Rare Disasters: An Exactly Solved Framework for Ten Puzzles in Macro-Finance," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(2), pages 645-700.
    33. Christine Laudenbach & Ulrike Malmendier & Alexandra Niessen-Ruenzi, 2019. "Emotional Tagging and Belief Formation: The Long-Lasting Effects of Experiencing Communism," AEA Papers and Proceedings, American Economic Association, vol. 109, pages 567-571, May.
    34. Rangvid, Jesper & Schmeling, Maik & Schrimpf, Andreas, 2013. "What do professional forecasters' stock market expectations tell us about herding, information extraction and beauty contests?," Journal of Empirical Finance, Elsevier, vol. 20(C), pages 109-129.
    35. Stefano Dellavigna & Joshua M. Pollet, 2009. "Investor Inattention and Friday Earnings Announcements," Journal of Finance, American Finance Association, vol. 64(2), pages 709-749, April.
    36. Glaeser, Edward L. & Nathanson, Charles G., 2017. "An extrapolative model of house price dynamics," Journal of Financial Economics, Elsevier, vol. 126(1), pages 147-170.
    37. Brad M. Barber & Terrance Odean, 2000. "Trading Is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors," Journal of Finance, American Finance Association, vol. 55(2), pages 773-806, April.
    38. Shiller, Robert J, 1981. "Do Stock Prices Move Too Much to be Justified by Subsequent Changes in Dividends?," American Economic Review, American Economic Association, vol. 71(3), pages 421-436, June.
    39. Andonov, Aleksandar & Rauh, Joshua D., 2018. "The Return Expectations of Institutional Investors," Research Papers 3659, Stanford University, Graduate School of Business.
    40. Terrance Odean, 1999. "Do Investors Trade Too Much?," American Economic Review, American Economic Association, vol. 89(5), pages 1279-1298, December.
    41. Merkle, Christoph & Weber, Martin, 2014. "Do investors put their money where their mouth is? Stock market expectations and investing behavior," Journal of Banking & Finance, Elsevier, vol. 46(C), pages 372-386.
    42. Brad M. Barber & Terrance Odean, 2001. "Boys will be Boys: Gender, Overconfidence, and Common Stock Investment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(1), pages 261-292.
    43. Nicholas Barberis, 2000. "Investing for the Long Run when Returns Are Predictable," Journal of Finance, American Finance Association, vol. 55(1), pages 225-264, February.
    44. Ulrike Malmendier & Stefan Nagel, 2011. "Depression Babies: Do Macroeconomic Experiences Affect Risk Taking?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(1), pages 373-416.
    45. Hoffmann, Arvid O.I. & Post, Thomas, 2016. "How does investor confidence lead to trading? Linking investor return experiences, confidence, and investment beliefs," Journal of Behavioral and Experimental Finance, Elsevier, vol. 12(C), pages 65-78.
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    More about this item

    Keywords

    surveys; expectations; sentiment; behavioral finance; discount rates; rare disasters;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General

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