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Does Sentiment Affect Stock Returns? A Meta-analysis Across Survey-based Measures

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  • Zuzana Gric
  • Josef Bajzik
  • Ondrej Badura

Abstract

We are the first to analyse the literature on the relationship between sentiment and stock returns, a topic which reacts to the history of systemic events causing asset bubbles in financial markets. Our meta-analysis of 1311 point estimates from 30 primary studies suggests that the true effect of an improvement in sentiment is significant and negative. In the majority of specifications, researchers tend to report this effect as being much stronger than it actually is, but in specific subsamples we also find positive publication bias driving the results into less negative or even positive territory. We reveal that the effect of sentiment on future returns is significantly stronger in the case of individual investors compared with large institutions and in the case of stock markets in the US compared with Europe. The effect also depends on several data and model characteristics. We propose an implied estimate which suggests that a one standard deviation increase in sentiment reduces future monthly returns by 0.198 standard deviations on average. This result may help enhance the predictive power of stock market models and be useful in conducting stress tests of financial markets and assessments of risks to financial stability.

Suggested Citation

  • Zuzana Gric & Josef Bajzik & Ondrej Badura, 2021. "Does Sentiment Affect Stock Returns? A Meta-analysis Across Survey-based Measures," Working Papers 2021/10, Czech National Bank.
  • Handle: RePEc:cnb:wpaper:2021/10
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    as
    1. Ivo Welch & Amit Goyal, 2008. "A Comprehensive Look at The Empirical Performance of Equity Premium Prediction," The Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1455-1508, July.
    2. Anton Astakhov & Tomas Havranek & Jiri Novak, 2019. "Firm Size And Stock Returns: A Quantitative Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 33(5), pages 1463-1492, December.
    3. Havranek, Tomas & Rusnak, Marek & Sokolova, Anna, 2017. "Habit formation in consumption: A meta-analysis," European Economic Review, Elsevier, vol. 95(C), pages 142-167.
    4. Jördis Hengelbrock & Erik Theissen & Christian Westheide, 2013. "Market Response to Investor Sentiment," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 40(7-8), pages 901-917, September.
    5. Bajzik, Josef, 2021. "Trading volume and stock returns: A meta-analysis," International Review of Financial Analysis, Elsevier, vol. 78(C).
    6. Zigraiova, Diana & Havranek, Tomas & Irsova, Zuzana & Novak, Jiri, 2021. "How puzzling is the forward premium puzzle? A meta-analysis," European Economic Review, Elsevier, vol. 134(C).
    7. Shleifer, Andrei & Summers, Lawrence H, 1990. "The Noise Trader Approach to Finance," Journal of Economic Perspectives, American Economic Association, vol. 4(2), pages 19-33, Spring.
    8. Ahmed, Bouteska, 2020. "Understanding the impact of investor sentiment on the price formation process: A review of the conduct of American stock markets," The Journal of Economic Asymmetries, Elsevier, vol. 22(C).
    9. Baker, Malcolm & Stein, Jeremy C., 2004. "Market liquidity as a sentiment indicator," Journal of Financial Markets, Elsevier, vol. 7(3), pages 271-299, June.
    10. Malcolm Baker & Jeffrey Wurgler, 2006. "Investor Sentiment and the Cross‐Section of Stock Returns," Journal of Finance, American Finance Association, vol. 61(4), pages 1645-1680, August.
    11. Sebastian Gechert & Tomas Havranek & Zuzana Irsova & Dominika Kolcunova, 2022. "Measuring Capital-Labor Substitution: The Importance of Method Choices and Publication Bias," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 45, pages 55-82, July.
    12. Furukawa, Chishio, 2019. "Publication Bias under Aggregation Frictions: Theory, Evidence, and a New Correction Method," EconStor Preprints 194798, ZBW - Leibniz Information Centre for Economics.
    13. Angelidis, Timotheos & Sakkas, Athanasios & Tessaromatis, Nikolaos, 2015. "Stock market dispersion, the business cycle and expected factor returns," Journal of Banking & Finance, Elsevier, vol. 59(C), pages 265-279.
    14. Malcolm Baker & Jeffrey Wurgler, 2007. "Investor Sentiment in the Stock Market," Journal of Economic Perspectives, American Economic Association, vol. 21(2), pages 129-152, Spring.
    15. Stanley, T. D. & Jarrell, Stephen B. & Doucouliagos, Hristos, 2010. "Could It Be Better to Discard 90% of the Data? A Statistical Paradox," The American Statistician, American Statistical Association, vol. 64(1), pages 70-77.
    16. Havranek, Tomas & Kokes, Ondrej, 2015. "Income elasticity of gasoline demand: A meta-analysis," Energy Economics, Elsevier, vol. 47(C), pages 77-86.
    17. Lee, Charles M C & Shleifer, Andrei & Thaler, Richard H, 1991. "Investor Sentiment and the Closed-End Fund Puzzle," Journal of Finance, American Finance Association, vol. 46(1), pages 75-109, March.
    18. Cazachevici, Alina & Havranek, Tomas & Horvath, Roman, 2020. "Remittances and economic growth: A meta-analysis," World Development, Elsevier, vol. 134(C).
    19. Bekaert, Geert & Engstrom, Eric, 2010. "Inflation and the stock market: Understanding the "Fed Model"," Journal of Monetary Economics, Elsevier, vol. 57(3), pages 278-294, April.
    20. Atanasov, Victoria, 2021. "Unemployment and aggregate stock returns," Journal of Banking & Finance, Elsevier, vol. 129(C).
    21. Theo S. Eicher & Chris Papageorgiou & Adrian E. Raftery, 2011. "Default priors and predictive performance in Bayesian model averaging, with application to growth determinants," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(1), pages 30-55, January/F.
    22. Stambaugh, Robert F., 1999. "Predictive regressions," Journal of Financial Economics, Elsevier, vol. 54(3), pages 375-421, December.
    23. Han, Xing & Li, Youwei, 2017. "Can investor sentiment be a momentum time-series predictor? Evidence from China," Journal of Empirical Finance, Elsevier, vol. 42(C), pages 212-239.
    24. Rodriguez, E. & Aguilar-Cornejo, M. & Femat, R. & Alvarez-Ramirez, J., 2014. "US stock market efficiency over weekly, monthly, quarterly and yearly time scales," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 413(C), pages 554-564.
    25. Andy C.W. Chui & Sheridan Titman & K.C. John Wei, 2010. "Individualism and Momentum around the World," Journal of Finance, American Finance Association, vol. 65(1), pages 361-392, February.
    26. Lee, Wayne Y. & Jiang, Christine X. & Indro, Daniel C., 2002. "Stock market volatility, excess returns, and the role of investor sentiment," Journal of Banking & Finance, Elsevier, vol. 26(12), pages 2277-2299.
    27. De Long, J Bradford, et al, 1990. "Positive Feedback Investment Strategies and Destabilizing Rational Speculation," Journal of Finance, American Finance Association, vol. 45(2), pages 379-395, June.
    28. Chiara Limongi Concetto & Francesco Ravazzolo, 2019. "Optimism in Financial Markets: Stock Market Returns and Investor Sentiments," JRFM, MDPI, vol. 12(2), pages 1-14, May.
    29. Schmeling, Maik, 2007. "Institutional and individual sentiment: Smart money and noise trader risk?," International Journal of Forecasting, Elsevier, vol. 23(1), pages 127-145.
    30. Shahram M. Amini & Christopher F. Parmeter, 2012. "Comparison Of Model Averaging Techniques: Assessing Growth Determinants," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(5), pages 870-876, August.
    31. Akhtar, Shumi & Faff, Robert & Oliver, Barry & Subrahmanyam, Avanidhar, 2011. "The power of bad: The negativity bias in Australian consumer sentiment announcements on stock returns," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1239-1249, May.
    32. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    33. Fadi Hassan, 2014. "The Price of Development," The Institute for International Integration Studies Discussion Paper Series iiisdp446, IIIS.
    34. Ana Carolina Garriga, 2016. "Central Bank Independence in the World: A New Data Set," International Interactions, Taylor & Francis Journals, vol. 42(5), pages 849-868, October.
    35. Tomas Havranek & Anna Sokolova, 2020. "Do Consumers Really Follow a Rule of Thumb? Three Thousand Estimates from 144 Studies Say 'Probably Not'," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 35, pages 97-122, January.
    36. Randi Næs & Johannes A. Skjeltorp & Bernt Arne Ødegaard, 2011. "Stock Market Liquidity and the Business Cycle," Journal of Finance, American Finance Association, vol. 66(1), pages 139-176, February.
    37. Mark F. J. Steel, 2020. "Model Averaging and Its Use in Economics," Journal of Economic Literature, American Economic Association, vol. 58(3), pages 644-719, September.
    38. Dominika Ehrenbergerova & Josef Bajzik & Tomas Havranek, 2023. "When Does Monetary Policy Sway House Prices? A Meta-Analysis," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 71(2), pages 538-573, June.
    39. Tomáš Havránek & T. D. Stanley & Hristos Doucouliagos & Pedro Bom & Jerome Geyer‐Klingeberg & Ichiro Iwasaki & W. Robert Reed & Katja Rost & R. C. M. van Aert, 2020. "Reporting Guidelines For Meta‐Analysis In Economics," Journal of Economic Surveys, Wiley Blackwell, vol. 34(3), pages 469-475, July.
    40. Campos, Nauro F. & Fidrmuc, Jarko & Korhonen, Iikka, 2019. "Business cycle synchronisation and currency unions: A review of the econometric evidence using meta-analysis," International Review of Financial Analysis, Elsevier, vol. 61(C), pages 274-283.
    41. Diana Zigraiova & Tomas Havranek, 2016. "Bank Competition And Financial Stability: Much Ado About Nothing?," Journal of Economic Surveys, Wiley Blackwell, vol. 30(5), pages 944-981, December.
    42. Jinpeng Ma & Yuming Wang, 2015. "Technical Analysis, Business Cycle, and Stock Market Returns," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 5(2), pages 1-3.
    43. Chen, Nai-fu & Kan, Raymond & Miller, Merton H, 1993. "Are the Discounts on Closed-End Funds a Sentiment Index? A Rejoinder," Journal of Finance, American Finance Association, vol. 48(2), pages 809-810, June.
    44. Michael Lemmon & Evgenia Portniaguina, 2006. "Consumer Confidence and Asset Prices: Some Empirical Evidence," The Review of Financial Studies, Society for Financial Studies, vol. 19(4), pages 1499-1529.
    45. Guofu Zhou, 2018. "Measuring Investor Sentiment," Annual Review of Financial Economics, Annual Reviews, vol. 10(1), pages 239-259, November.
    46. Gregory W. Brown & Michael T. Cliff, 2005. "Investor Sentiment and Asset Valuation," The Journal of Business, University of Chicago Press, vol. 78(2), pages 405-440, March.
    47. Chen, Nai-fu & Kan, Raymond & Miller, Merton H, 1993. "Are the Discounts on Closed-End Funds a Sentiment Index?," Journal of Finance, American Finance Association, vol. 48(2), pages 795-800, June.
    48. Schmeling, Maik, 2009. "Investor sentiment and stock returns: Some international evidence," Journal of Empirical Finance, Elsevier, vol. 16(3), pages 394-408, June.
    49. Sheila C. Dow, 2011. "Cognition, market sentiment and financial instability," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 35(2), pages 233-249.
    50. Jerome Geyer-Klingeberg & Markus Hang & Matthias Walter & Andreas Rathgeber, 2018. "Do stock markets react to soccer games? A meta-regression analysis," Applied Economics, Taylor & Francis Journals, vol. 50(19), pages 2171-2189, April.
    51. Bajzik, Josef & Havranek, Tomas & Irsova, Zuzana & Schwarz, Jiri, 2020. "Estimating the Armington elasticity: The importance of study design and publication bias," Journal of International Economics, Elsevier, vol. 127(C).
    52. Dimitrios Subeniotis & Dimitrios Papadopoulos & Ioannis Tampakoudis & Athina Tampakoudi, 2011. "How Inflation, Market Capitalization, Industrial Production and the Economic Sentiment Indicator Affect the EU-12 Stock Markets," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 105-120.
    53. Doucouliagos, Hristos & Paldam, Martin, 2011. "The ineffectiveness of development aid on growth: An update," European Journal of Political Economy, Elsevier, vol. 27(2), pages 399-404, June.
    54. P. Corredor & E. Ferrer & R. Santamaria, 2015. "The Impact of Investor Sentiment on Stock Returns in Emerging Markets: The Case of Central European Markets," Eastern European Economics, Taylor & Francis Journals, vol. 53(4), pages 328-355, July.
    55. Baker, Malcolm & Wurgler, Jeffrey & Yuan, Yu, 2012. "Global, local, and contagious investor sentiment," Journal of Financial Economics, Elsevier, vol. 104(2), pages 272-287.
    56. 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.
    57. Jiang, Fuwei & Lee, Joshua & Martin, Xiumin & Zhou, Guofu, 2019. "Manager sentiment and stock returns," Journal of Financial Economics, Elsevier, vol. 132(1), pages 126-149.
    58. Chopra, Navin, et al, 1993. "Yes, Discounts on Closed-End Funds Are a Sentiment Index," Journal of Finance, American Finance Association, vol. 48(2), pages 801-808, June.
    59. Sebastian Gechert & Tomas Havranek & Zuzana Irsova & Dominika Kolcunova, 2022. "Measuring Capital-Labor Substitution: The Importance of Method Choices and Publication Bias," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 45, pages 55-82, July.
    60. Paul C. Tetlock, 2007. "Giving Content to Investor Sentiment: The Role of Media in the Stock Market," Journal of Finance, American Finance Association, vol. 62(3), pages 1139-1168, June.
    61. Kenneth Kim & Suk Kim, 2019. "International Financial Markets," World Scientific Book Chapters, in: GLOBAL CORPORATE FINANCE A Focused Approach, chapter 9, pages 173-200, World Scientific Publishing Co. Pte. Ltd..
    62. Zeugner, Stefan & Feldkircher, Martin, 2015. "Bayesian Model Averaging Employing Fixed and Flexible Priors: The BMS Package for R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 68(i04).
    63. George A. Akerlof & Robert J. Shiller, 2010. "Animal Spirits: How Human Psychology Drives the Economy, and Why It Matters for Global Capitalism," Economics Books, Princeton University Press, edition 1, number 9163.
    64. Mehmet Ugur & Sefa Awaworyi Churchill & Edna Solomon, 2018. "Technological Innovation And Employment In Derived Labour Demand Models: A Hierarchical Meta†Regression Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 32(1), pages 50-82, February.
    65. Muhammad A. Cheema & Yimei Man & Kenneth R. Szulczyk, 2020. "Does Investor Sentiment Predict the Near‐Term Returns of the Chinese Stock Market?," International Review of Finance, International Review of Finance Ltd., vol. 20(1), pages 225-233, March.
    66. Chopra, Navin, et al,, 1993. "Yes, Discounts on Closed-End Funds Are a Sentiment Index: Summing Up," Journal of Finance, American Finance Association, vol. 48(2), pages 811-812, June.
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    1. Simona Malovana & Martin Hodula & Zuzana Gric & Josef Bajzik, 2022. "Borrower-Based Macroprudential Measures and Credit Growth: How Biased is the Existing Literature?," Working Papers 2022/8, Czech National Bank.

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    More about this item

    Keywords

    Bayesian model averaging; individual and institutional investors; meta-analysis; publication bias; stock returns; survey-based sentiment;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
    • G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets

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