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A nonrandom walk down Hollywood boulevard: Celebrity deaths and investor sentiment

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  • Gabriele M. Lepori

Abstract

Motivated by psychological evidence that shows the public experiences emotional distress in response to the deaths of popular figures, I employ the deaths of 1,391 Hollywood Walk of Fame celebrities as natural experiments to identify exogenous public mood changes over the period 1926–2009. Consistent with the psychological theories which maintain that sadness encourages individuals to favor high‐risk/high‐reward investments, I find that U.S. stock returns are abnormally high immediately after the death of a major celebrity. This effect is particularly large during periods of high market‐level uncertainty (+0.40%) and for stocks headquartered in the city where the celebrity died (+0.26%).

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  • Gabriele M. Lepori, 2021. "A nonrandom walk down Hollywood boulevard: Celebrity deaths and investor sentiment," The Financial Review, Eastern Finance Association, vol. 56(3), pages 591-613, August.
    • Handle: RePEc:bla:finrev:v:56:y:2021:i:3:p:591-613
    DOI: 10.1111/fire.12254
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    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. Yochi Cohen-Charash & Charles A Scherbaum & John D Kammeyer-Mueller & Barry M Staw, 2013. "Mood and the Market: Can Press Reports of Investors' Mood Predict Stock Prices?," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-15, August.
    6. 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.
    7. Karpoff, Jonathan M., 1987. "The Relation between Price Changes and Trading Volume: A Survey," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 22(1), pages 109-126, March.
    8. Rozeff, Michael S. & Kinney, William Jr., 1976. "Capital market seasonality: The case of stock returns," Journal of Financial Economics, Elsevier, vol. 3(4), pages 379-402, October.
    9. Smimou, K., 2017. "Does gold Liquidity learn from the greenback or the equity?," Research in International Business and Finance, Elsevier, vol. 41(C), pages 461-479.
    10. Diego García, 2013. "Sentiment during Recessions," Journal of Finance, American Finance Association, vol. 68(3), pages 1267-1300, June.
    11. Victor Matheson & Robert Baade, 2004. "'Death effect' on collectible prices," Applied Economics, Taylor & Francis Journals, vol. 36(11), pages 1151-1155.
    12. 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.
    13. Birz, Gene & Lott Jr., John R., 2011. "The effect of macroeconomic news on stock returns: New evidence from newspaper coverage," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 2791-2800, November.
    14. Schultz, Paul, 2003. "Who makes markets," Journal of Financial Markets, Elsevier, vol. 6(1), pages 49-72, January.
    15. Sven Bouman & Ben Jacobsen, 2002. "The Halloween Indicator, "Sell in May and Go Away": Another Puzzle," American Economic Review, American Economic Association, vol. 92(5), pages 1618-1635, December.
    16. Andriy Bodnaruk, 2009. "Proximity Always Matters: Local Bias When the Set of Local Companies Changes," Review of Finance, European Finance Association, vol. 13(4), pages 629-656.
    17. Agarwal, Vikas & Green, T. Clifton & Ren, Honglin, 2018. "Alpha or beta in the eye of the beholder: What drives hedge fund flows?," Journal of Financial Economics, Elsevier, vol. 127(3), pages 417-434.
    18. Raghunathan, Rajagopal & Pham, Michel Tuan, 1999. "All Negative Moods Are Not Equal: Motivational Influences of Anxiety and Sadness on Decision Making, , , , ," Organizational Behavior and Human Decision Processes, Elsevier, vol. 79(1), pages 56-77, July.
    19. Nicolas P. B. Bollen & Tom Smith & Robert E. Whaley, 2003. "Optimal contract design: For whom?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 23(8), pages 719-750, August.
    20. Anna Conte & M. Vittoria Levati & Chiara Nardi, 2018. "Risk Preferences and the Role of Emotions," Economica, London School of Economics and Political Science, vol. 85(338), pages 305-328, April.
    21. Yuan, Kathy & Zheng, Lu & Zhu, Qiaoqiao, 2006. "Are investors moonstruck? Lunar phases and stock returns," Journal of Empirical Finance, Elsevier, vol. 13(1), pages 1-23, January.
    22. Massing, Walter & Angermeyer, Matthias C., 1985. "The monthly and weekly distribution of suicide," Social Science & Medicine, Elsevier, vol. 21(4), pages 433-441, January.
    23. Au, Kevin & Chan, Forrest & Wang, Denis & Vertinsky, Ilan, 2003. "Mood in foreign exchange trading: Cognitive processes and performance," Organizational Behavior and Human Decision Processes, Elsevier, vol. 91(2), pages 322-338, July.
    24. Stoll, Hans R. & Whaley, Robert E., 1990. "The Dynamics of Stock Index and Stock Index Futures Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 25(4), pages 441-468, December.
    25. Kamstra, Mark J. & Kramer, Lisa A. & Levi, Maurice D., 2015. "Seasonal Variation in Treasury Returns," Critical Finance Review, now publishers, vol. 4(1), pages 45-115, June.
    26. 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.
    27. Phillips, David & Barker, Gwendolyn E. & Brewer, Kimberly M., 2010. "Christmas and New Year as risk factors for death," Social Science & Medicine, Elsevier, vol. 71(8), pages 1463-1471, October.
    28. 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.
    29. Kliger, Doron & Levy, Ori, 2003. "Mood-induced variation in risk preferences," Journal of Economic Behavior & Organization, Elsevier, vol. 52(4), pages 573-584, December.
    30. Mittal, Vikas & Ross, William T., 1998. "The Impact of Positive and Negative Affect and Issue Framing on Issue Interpretation and Risk Taking," Organizational Behavior and Human Decision Processes, Elsevier, vol. 76(3), pages 298-324, December.
    31. Eduardo B. Andrade, 2005. "Behavioral Consequences of Affect: Combining Evaluative and Regulatory Mechanisms," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 32(3), pages 355-362, December.
    32. Levy, Ori & Galili, Itai, 2008. "Stock purchase and the weather: Individual differences," Journal of Economic Behavior & Organization, Elsevier, vol. 67(3-4), pages 755-767, September.
    33. Mark J. Flannery & Aris A. Protopapadakis, 2002. "Macroeconomic Factors Do Influence Aggregate Stock Returns," The Review of Financial Studies, Society for Financial Studies, vol. 15(3), pages 751-782.
    34. Anya Krivelyova & Cesare Robotti, 2003. "Playing the field: Geomagnetic storms and international stock markets," FRB Atlanta Working Paper 2003-5, Federal Reserve Bank of Atlanta.
    35. Kostopoulos, Dimitrios & Meyer, Steffen & Uhr, Charline, 2020. "Google search volume and individual investor trading," Journal of Financial Markets, Elsevier, vol. 49(C).
    36. 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.
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