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Whose Disagreement Matters? Household Belief Dispersion and Stock Trading Volume
[Belief dispersion in the stock market]

Author

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  • Dan Li
  • Geng Li

Abstract

Theoretical models have long recognized the role of investor disagreements in the marketplace, but little evidence is documented regarding how belief dispersion affects trading activities in the broad equity market. Using over three decades of data from a survey of US households, we introduced a novel measure of household macroeconomic belief dispersion and document its positive relationship with market-wide stock trading volume, even after controlling for an array of professional analysts’ belief dispersion. Results are more pronounced for the belief dispersion among households who are more likely to own stocks. Furthermore, we show that the household belief dispersion is priced in the cross-section of stock returns, whereas that among professional analysts is not.

Suggested Citation

  • Dan Li & Geng Li, 2021. "Whose Disagreement Matters? Household Belief Dispersion and Stock Trading Volume [Belief dispersion in the stock market]," Review of Finance, European Finance Association, vol. 25(6), pages 1859-1900.
  • Handle: RePEc:oup:revfin:v:25:y:2021:i:6:p:1859-1900.
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    as
    1. Fama, Eugene F & French, Kenneth R, 1992. "The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-465, June.
    2. John Y. Campbell & Sanford J. Grossman & Jiang Wang, 1993. "Trading Volume and Serial Correlation in Stock Returns," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(4), pages 905-939.
    3. repec:bla:jfinan:v:59:y:2004:i:4:p:1901-1930 is not listed on IDEAS
    4. Carroll, Christopher D & Fuhrer, Jeffrey C & Wilcox, David W, 1994. "Does Consumer Sentiment Forecast Household Spending? If So, Why?," American Economic Review, American Economic Association, vol. 84(5), pages 1397-1408, December.
    5. Chordia, Tarun & Roll, Richard & Subrahmanyam, Avanidhar, 2011. "Recent trends in trading activity and market quality," Journal of Financial Economics, Elsevier, vol. 101(2), pages 243-263, August.
    6. Kandel, Eugene & Pearson, Neil D, 1995. "Differential Interpretation of Public Signals and Trade in Speculative Markets," Journal of Political Economy, University of Chicago Press, vol. 103(4), pages 831-872, August.
    7. Baker, Malcolm & Stein, Jeremy C., 2004. "Market liquidity as a sentiment indicator," Journal of Financial Markets, Elsevier, vol. 7(3), pages 271-299, June.
    8. Guillermo Llorente & Roni Michaely & Gideon Saar & Jiang Wang, 2002. "Dynamic Volume-Return Relation of Individual Stocks," The Review of Financial Studies, Society for Financial Studies, vol. 15(4), pages 1005-1047.
    9. Nicholas Bloom, 2009. "The Impact of Uncertainty Shocks," Econometrica, Econometric Society, vol. 77(3), pages 623-685, May.
    10. 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.
    11. Bessembinder, Hendrik & Chan, Kalok & Seguin, Paul J., 1996. "An empirical examination of information, differences of opinion, and trading activity," Journal of Financial Economics, Elsevier, vol. 40(1), pages 105-134, January.
    12. Larry H.P. Lang & Robert H. Litzenberger, "undated". "Trading Volume and Changes in Heterogeneous Expectations," Rodney L. White Center for Financial Research Working Papers 06-89, Wharton School Rodney L. White Center for Financial Research.
    13. Zhi Da & Joseph Engelberg & Pengjie Gao, 2011. "In Search of Attention," Journal of Finance, American Finance Association, vol. 66(5), pages 1461-1499, October.
    14. Milgrom, Paul & Stokey, Nancy, 1982. "Information, trade and common knowledge," Journal of Economic Theory, Elsevier, vol. 26(1), pages 17-27, February.
    15. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    16. Lewellen, Jonathan & Nagel, Stefan & Shanken, Jay, 2010. "A skeptical appraisal of asset pricing tests," Journal of Financial Economics, Elsevier, vol. 96(2), pages 175-194, May.
    17. Pastor, Lubos & Stambaugh, Robert F., 2003. "Liquidity Risk and Expected Stock Returns," Journal of Political Economy, University of Chicago Press, vol. 111(3), pages 642-685, June.
    18. Geng Li, 2014. "Information Sharing and Stock Market Participation: Evidence from Extended Families," The Review of Economics and Statistics, MIT Press, vol. 96(1), pages 151-160, March.
    19. Goetzmann, William N. & Massa, Massimo, 2005. "Dispersion of opinion and stock returns," Journal of Financial Markets, Elsevier, vol. 8(3), pages 324-349, August.
    20. Basak, Suleyman, 2000. "A model of dynamic equilibrium asset pricing with heterogeneous beliefs and extraneous risk," Journal of Economic Dynamics and Control, Elsevier, vol. 24(1), pages 63-95, January.
    21. Hong, Harrison & Yu, Jialin, 2009. "Gone fishin': Seasonality in trading activity and asset prices," Journal of Financial Markets, Elsevier, vol. 12(4), pages 672-702, November.
    22. repec:bla:jfinan:v:59:y:2004:i:1:p:137-163 is not listed on IDEAS
    23. Tobias Adrian & Erkko Etula & Tyler Muir, 2014. "Financial Intermediaries and the Cross-Section of Asset Returns," Journal of Finance, American Finance Association, vol. 69(6), pages 2557-2596, December.
    24. Robert B. Barsky & Eric R. Sims, 2012. "Information, Animal Spirits, and the Meaning of Innovations in Consumer Confidence," American Economic Review, American Economic Association, vol. 102(4), pages 1343-1377, June.
    25. Ang, Andrew & Bekaert, Geert & Wei, Min, 2007. "Do macro variables, asset markets, or surveys forecast inflation better?," Journal of Monetary Economics, Elsevier, vol. 54(4), pages 1163-1212, May.
    26. Roger K. Loh & René M. Stulz, 2018. "Is Sell‐Side Research More Valuable in Bad Times?," Journal of Finance, American Finance Association, vol. 73(3), pages 959-1013, June.
    27. Anne‐Marie Anderson & Edward A. Dyl, 2005. "Market Structure And Trading Volume," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 28(1), pages 115-131, March.
    28. Thanh Huong Dinh & Jean-François Gajewski, 2007. "An experimental study of trading volume and divergence of expectations in relation to earnings announcement," CIRANO Working Papers 2007s-24, CIRANO.
    29. 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.
    30. Emilio Osambela, 2015. "Differences of Opinion, Endogenous Liquidity, and Asset Prices," The Review of Financial Studies, Society for Financial Studies, vol. 28(7), pages 1914-1959.
    31. David Hirshleifer, 2001. "Investor Psychology and Asset Pricing," Journal of Finance, American Finance Association, vol. 56(4), pages 1533-1597, August.
    32. Tirole, Jean, 1982. "On the Possibility of Speculation under Rational Expectations," Econometrica, Econometric Society, vol. 50(5), pages 1163-1181, September.
    33. Harrison Hong & Jeremy C. Stein, 2007. "Disagreement and the Stock Market," Journal of Economic Perspectives, American Economic Association, vol. 21(2), pages 109-128, Spring.
    34. Varian, Hal R, 1985. "Divergence of Opinion in Complete Markets: A Note," Journal of Finance, American Finance Association, vol. 40(1), pages 309-317, March.
    35. Hoffmann, Arvid O.I. & Post, Thomas & Pennings, Joost M.E., 2013. "Individual investor perceptions and behavior during the financial crisis," Journal of Banking & Finance, Elsevier, vol. 37(1), pages 60-74.
    36. Martin Lettau & Sydney Ludvigson, 2001. "Resurrecting the (C)CAPM: A Cross-Sectional Test When Risk Premia Are Time-Varying," Journal of Political Economy, University of Chicago Press, vol. 109(6), pages 1238-1287, December.
    37. Meir Statman & Steven Thorley & Keith Vorkink, 2006. "Investor Overconfidence and Trading Volume," The Review of Financial Studies, Society for Financial Studies, vol. 19(4), pages 1531-1565.
    38. 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.
    39. Christopher D. Carroll, 2003. "Macroeconomic Expectations of Households and Professional Forecasters," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(1), pages 269-298.
    40. Malmendier, Ulrike & Pouzo, Demian & Vanasco, Victoria, 2020. "Investor experiences and financial market dynamics," Journal of Financial Economics, Elsevier, vol. 136(3), pages 597-622.
    41. Souleles, Nicholas S, 2004. "Expectations, Heterogeneous Forecast Errors, and Consumption: Micro Evidence from the Michigan Consumer Sentiment Surveys," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 36(1), pages 39-72, February.
    42. Harris, Milton & Raviv, Artur, 1993. "Differences of Opinion Make a Horse Race," The Review of Financial Studies, Society for Financial Studies, vol. 6(3), pages 473-506.
    43. Harrison Hong & Jeffrey D. Kubik & Amit Solomon, 2000. "Security Analysts' Career Concerns and Herding of Earnings Forecasts," RAND Journal of Economics, The RAND Corporation, vol. 31(1), pages 121-144, Spring.
    44. Wang, Jiang, 1994. "A Model of Competitive Stock Trading Volume," Journal of Political Economy, University of Chicago Press, vol. 102(1), pages 127-168, February.
    45. Eric K. Kelley & Paul C. Tetlock, 2013. "How Wise Are Crowds? Insights from Retail Orders and Stock Returns," Journal of Finance, American Finance Association, vol. 68(3), pages 1229-1265, June.
    46. Gene Amromin & Steven A. Sharpe, 2014. "From the Horse's Mouth: Economic Conditions and Investor Expectations of Risk and Return," Management Science, INFORMS, vol. 60(4), pages 845-866, April.
    47. J. Scheinkman & W. Xiong, 2002. "Overconfidence, Short-Sale Constraints and Bubbles," Princeton Economic Theory Working Papers 98734966f1c1a57373801367f, David K. Levine.
    48. Karpoff, Jonathan M, 1986. "A Theory of Trading Volume," Journal of Finance, American Finance Association, vol. 41(5), pages 1069-1087, December.
    49. Dumas, Bernard, 1989. "Two-Person Dynamic Equilibrium in the Capital Market," The Review of Financial Studies, Society for Financial Studies, vol. 2(2), pages 157-188.
    50. Patton, Andrew J. & Timmermann, Allan, 2010. "Why do forecasters disagree? Lessons from the term structure of cross-sectional dispersion," Journal of Monetary Economics, Elsevier, vol. 57(7), pages 803-820, October.
    51. Christian Gollier & Richard Zeckhauser, 2005. "Aggregation of Heterogeneous Time Preferences," Journal of Political Economy, University of Chicago Press, vol. 113(4), pages 878-896, August.
    52. Gallant, A Ronald & Rossi, Peter E & Tauchen, George, 1992. "Stock Prices and Volume," The Review of Financial Studies, Society for Financial Studies, vol. 5(2), pages 199-242.
    53. Jiang, Wang, 1996. "The term structure of interest rates in a pure exchange economy with heterogeneous investors," Journal of Financial Economics, Elsevier, vol. 41(1), pages 75-110, May.
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    1. Junjun Ma & Xindan Li & Lei Lu & Weixing Wu & Xiong Xiong, 2022. "Individual investors' dispersion in beliefs and stock returns," Financial Management, Financial Management Association International, vol. 51(3), pages 929-953, September.
    2. Maarten Meeuwis & Jonathan A. Parker & Antoinette Schoar & Duncan Simester, 2022. "Belief Disagreement and Portfolio Choice," Journal of Finance, American Finance Association, vol. 77(6), pages 3191-3247, December.

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    More about this item

    Keywords

    Household expectations; Belief dispersion; Trading volume; Cross-section returns;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets
    • G50 - Financial Economics - - Household Finance - - - General

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