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Music Sentiment and Stock Returns Around the World

Author

Listed:
  • Alex Edmans
  • Adrian Fernandez-Perez
  • Alexandre Garel

    (Audencia Business School)

  • Ivan Indriawan

Abstract

This paper introduces a real-time, continuous measure of national sentiment that is language-free and thus comparable globally: the positivity of songs that individuals choose to listen to. This is a direct measure of mood that does not pre-specify certain mood-affecting events nor assume the extent of their impact on investors. We validate our music-based sentiment measure by correlating it with mood swings induced by seasonal factors, weather conditions, and COVID-related restrictions. We find that music sentiment is positively correlated with same-week equity market returns and negatively correlated with next-week returns, consistent with sentiment-induced temporary mispricing. Results also hold under a daily analysis and are stronger when trading restrictions limit arbitrage. Music sentiment also predicts increases in net mutual fund flows, and absolute sentiment precedes a rise in stock market volatility. It is negatively associated with government bond returns, consistent with a flight to safety.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Alex Edmans & Adrian Fernandez-Perez & Alexandre Garel & Ivan Indriawan, 2021. "Music Sentiment and Stock Returns Around the World," Post-Print hal-03324805, HAL.
    • Handle: RePEc:hal:journl:hal-03324805
    DOI: 10.1016/j.jfineco.2021.08.014
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    as
    1. Lisa A. Kramer & Mark J. Kamstra & Maurice D. Levi, 2000. "Losing Sleep at the Market: The Daylight Saving Anomaly," American Economic Review, American Economic Association, vol. 90(4), pages 1005-1011, September.
    2. Ľuboš Pástor & M Blair Vorsatz & Jeffrey Pontiff, 0. "Mutual Fund Performance and Flows during the COVID-19 Crisis," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 10(4), pages 791-833.
    3. William N. Goetzmann & Dasol Kim & Alok Kumar & Qin Wang, 2015. "Weather-Induced Mood, Institutional Investors, and Stock Returns," The Review of Financial Studies, Society for Financial Studies, vol. 28(1), pages 73-111.
    4. Fama, Eugene F. & French, Kenneth R., 2017. "International tests of a five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 123(3), pages 441-463.
    5. Sanjiv R. Das & Mike Y. Chen, 2007. "Yahoo! for Amazon: Sentiment Extraction from Small Talk on the Web," Management Science, INFORMS, vol. 53(9), pages 1375-1388, September.
    6. Gao, Zhenyu & Ren, Haohan & Zhang, Bohui, 2020. "Googling Investor Sentiment around the World," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 55(2), pages 549-580, March.
    7. David Hirshleifer & Tyler Shumway, 2003. "Good Day Sunshine: Stock Returns and the Weather," Journal of Finance, American Finance Association, vol. 58(3), pages 1009-1032, June.
    8. Hirshleifer, David & Jiang, Danling & DiGiovanni, Yuting Meng, 2020. "Mood beta and seasonalities in stock returns," Journal of Financial Economics, Elsevier, vol. 137(1), pages 272-295.
    9. Francesca Brusa & Pavel Savor & Mungo Wilson, 2020. "One Central Bank to Rule Them All," Review of Finance, European Finance Association, vol. 24(2), pages 263-304.
    10. 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.
    11. 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.
    12. Pitkäjärvi, Aleksi & Suominen, Matti & Vaittinen, Lauri, 2020. "Cross-asset signals and time series momentum," Journal of Financial Economics, Elsevier, vol. 136(1), pages 63-85.
    13. Zhi Da & Joseph Engelberg & Pengjie Gao, 2015. "Editor's Choice The Sum of All FEARS Investor Sentiment and Asset Prices," The Review of Financial Studies, Society for Financial Studies, vol. 28(1), pages 1-32.
    14. Zullow, Harold M., 1991. "Pessimistic rumination in popular songs and newsmagazines predict economic recession via decreased consumer optimism and spending," Journal of Economic Psychology, Elsevier, vol. 12(3), pages 501-526, September.
    15. Kaplanski, Guy & Levy, Haim, 2010. "Sentiment and stock prices: The case of aviation disasters," Journal of Financial Economics, Elsevier, vol. 95(2), pages 174-201, February.
    16. 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.
    17. De Long, J Bradford & Andrei Shleifer & Lawrence H. Summers & Robert J. Waldmann, 1990. "Noise Trader Risk in Financial Markets," Journal of Political Economy, University of Chicago Press, vol. 98(4), pages 703-738, August.
    18. Diego García, 2013. "Sentiment during Recessions," Journal of Finance, American Finance Association, vol. 68(3), pages 1267-1300, June.
    19. Arturo Bris & William N. Goetzmann & Ning Zhu, 2007. "Efficiency and the Bear: Short Sales and Markets Around the World," Journal of Finance, American Finance Association, vol. 62(3), pages 1029-1079, June.
    20. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    21. Ofek, Eli & Richardson, Matthew & Whitelaw, Robert F., 2004. "Limited arbitrage and short sales restrictions: evidence from the options markets," Journal of Financial Economics, Elsevier, vol. 74(2), pages 305-342, November.
    22. Aruoba, S. BoraÄŸan & Diebold, Francis X. & Scotti, Chiara, 2009. "Real-Time Measurement of Business Conditions," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(4), pages 417-427.
    23. Mark J. Kamstra & Lisa A. Kramer & Maurice D. Levi, 2003. "Winter Blues: A SAD Stock Market Cycle," American Economic Review, American Economic Association, vol. 93(1), pages 324-343, March.
    24. John M. Griffin, 2002. "Are the Fama and French Factors Global or Country Specific?," The Review of Financial Studies, Society for Financial Studies, vol. 15(3), pages 783-803.
    25. Wang, Albert Y. & Young, Michael, 2020. "Terrorist attacks and investor risk preference: Evidence from mutual fund flows," Journal of Financial Economics, Elsevier, vol. 137(2), pages 491-514.
    26. Malcolm Baker & Jeffrey Wurgler, 2012. "Comovement and Predictability Relationships Between Bonds and the Cross-section of Stocks," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 2(1), pages 57-87.
    27. Itay Goldstein & Chester S Spatt & Mao Ye, 2021. "Big Data in Finance," NBER Chapters, in: Big Data: Long-Term Implications for Financial Markets and Firms, pages 3213-3225, National Bureau of Economic Research, Inc.
    28. Laborda, Ricardo & Olmo, Jose, 2014. "Investor sentiment and bond risk premia," Journal of Financial Markets, Elsevier, vol. 18(C), pages 206-233.
    29. Shleifer, Andrei & Vishny, Robert W, 1997. "The Limits of Arbitrage," Journal of Finance, American Finance Association, vol. 52(1), pages 35-55, March.
    30. Ben-Rephael, Azi & Kandel, Shmuel & Wohl, Avi, 2012. "Measuring investor sentiment with mutual fund flows," Journal of Financial Economics, Elsevier, vol. 104(2), pages 363-382.
    31. Alexandre Garel & Adrian Fernandez-Perez & Ivan Indriawana, 2020. "Music Sentiment and Stock Returns," Post-Print hal-02635628, HAL.
    32. Alex Edmans & Diego García & Øyvind Norli, 2007. "Sports Sentiment and Stock Returns," Journal of Finance, American Finance Association, vol. 62(4), pages 1967-1998, August.
    33. Tim Loughran & Bill Mcdonald, 2016. "Textual Analysis in Accounting and Finance: A Survey," Journal of Accounting Research, Wiley Blackwell, vol. 54(4), pages 1187-1230, September.
    34. Kim Kaivanto & Peng Zhang, 2019. "Popular Music, Sentiment, and Noise Trading," Working Papers 279326509, Lancaster University Management School, Economics Department.
    35. Jeffrey Pontiff, 1996. "Costly Arbitrage: Evidence from Closed-End Funds," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 111(4), pages 1135-1151.
    36. 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.
    37. Kamstra, Mark J. & Kramer, Lisa A. & Levi, Maurice D. & Wermers, Russ, 2017. "Seasonal Asset Allocation: Evidence from Mutual Fund Flows," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 52(1), pages 71-109, February.
    38. Chen, Yangyang & Goyal, Abhinav & Veeraraghavan, Madhu & Zolotoy, Leon, 2020. "Terrorist attacks, investor sentiment, and the pricing of initial public offerings," Journal of Corporate Finance, Elsevier, vol. 65(C).
    39. Itay Goldstein & Chester S. Spatt & Mao Ye, 2021. "Big Data in Finance," NBER Working Papers 28615, National Bureau of Economic Research, Inc.
    40. Fernandez-Perez, Adrian & Garel, Alexandre & Indriawan, Ivan, 2020. "Music sentiment and stock returns," Economics Letters, Elsevier, vol. 192(C).
    41. Itay Goldstein & Chester S Spatt & Mao Ye, 2021. "Big Data in Finance [Institutional order handling and broker-affiliated trading venues]," The Review of Financial Studies, Society for Financial Studies, vol. 34(7), pages 3213-3225.
    42. Birru, Justin, 2018. "Day of the week and the cross-section of returns," Journal of Financial Economics, Elsevier, vol. 130(1), pages 182-214.
    43. Alok Kumar & Charles M.C. Lee, 2006. "Retail Investor Sentiment and Return Comovements," Journal of Finance, American Finance Association, vol. 61(5), pages 2451-2486, October.
    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. Ben-Rephael, Azi & Kandel, Shmuel & Wohl, Avi, 2011. "The Price Pressure of Aggregate Mutual Fund Flows," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 46(2), pages 585-603, April.
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    More about this item

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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