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Photo sentiment and stock returns around the world

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  • Chiah, Mardy
  • Hu, Xiaolu
  • Zhong, Angel

Abstract

Utilizing a recently developed measure of investor sentiment based on a large sample of news photos (i.e. Photo Pessimism), this paper examines the relation between investor sentiment and stock market returns around the world. We find that investor sentiment proxied by Photo Pessimism is negatively related to contemporaneous returns in 37 international equity markets. Photo Pessimism positively predicts subsequent market returns and trading volume, reflecting temporary sentiment-induced mispricing and the subsequent correction. The effect of Photo Pessimism on global stock markets is stronger amongst smaller markets and in periods where risk aversion is elevated. This indicates that sentiment-induced mispricing is more pronounced in the presence of limits-to-arbitrage.

Suggested Citation

  • Chiah, Mardy & Hu, Xiaolu & Zhong, Angel, 2022. "Photo sentiment and stock returns around the world," Finance Research Letters, Elsevier, vol. 46(PB).
    • Handle: RePEc:eee:finlet:v:46:y:2022:i:pb:s1544612321004074
    DOI: 10.1016/j.frl.2021.102417
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    as
    1. Eleanor Xu, Xiaoqing & Chen, Peter & Wu, Chunchi, 2006. "Time and dynamic volume-volatility relation," Journal of Banking & Finance, Elsevier, vol. 30(5), pages 1535-1558, May.
    2. 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.
    3. Siganos, Antonios & Vagenas-Nanos, Evangelos & Verwijmeren, Patrick, 2017. "Divergence of sentiment and stock market trading," Journal of Banking & Finance, Elsevier, vol. 78(C), pages 130-141.
    4. 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.
    5. 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.
    6. Schmeling, Maik, 2009. "Investor sentiment and stock returns: Some international evidence," Journal of Empirical Finance, Elsevier, vol. 16(3), pages 394-408, June.
    7. John M. Griffin & Federico Nardari & René M. Stulz, 2007. "Do Investors Trade More When Stocks Have Performed Well? Evidence from 46 Countries," The Review of Financial Studies, Society for Financial Studies, vol. 20(3), pages 905-951.
    8. Robert B. Durand & Manapon Limkriangkrai & Gary Smith, 2006. "In America's thrall: the effects of the US market and US security characteristics on Australian stock returns," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 46(4), pages 577-604, December.
    9. 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.
    10. Mardy Chiah & Philip Gharghori & Angel Zhong, 2020. "Comovement in Anomalies between the Australian and US Equity Markets," International Review of Finance, International Review of Finance Ltd., vol. 20(4), pages 1005-1017, December.
    11. 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.
    12. Jegadeesh, Narasimhan, 1990. "Evidence of Predictable Behavior of Security Returns," Journal of Finance, American Finance Association, vol. 45(3), pages 881-898, July.
    13. Chiah, Mardy & Zhong, Angel, 2020. "Trading from home: The impact of COVID-19 on trading volume around the world," Finance Research Letters, Elsevier, vol. 37(C).
    14. 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.
    15. Chiah, Mardy & Zhong, Angel, 2021. "Tuesday Blues and the day-of-the-week effect in stock returns," Journal of Banking & Finance, Elsevier, vol. 133(C).
    16. Baker, Malcolm & Wurgler, Jeffrey & Yuan, Yu, 2012. "Global, local, and contagious investor sentiment," Journal of Financial Economics, Elsevier, vol. 104(2), pages 272-287.
    17. 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.
    18. Felix Chan & Robert B. Durand & Joyce Khuu & Lee A. Smales, 2017. "The Validity of Investor Sentiment Proxies," International Review of Finance, International Review of Finance Ltd., vol. 17(3), pages 473-477, September.
    19. 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.
    20. Edmans, Alex & Fernandez-Perez, Adrian & Garel, Alexandre & Indriawan, Ivan, 2022. "Music sentiment and stock returns around the world," Journal of Financial Economics, Elsevier, vol. 145(2), pages 234-254.
    21. Alexandre Garel & Adrian Fernandez-Perez & Ivan Indriawana, 2020. "Music Sentiment and Stock Returns," Post-Print hal-02635628, HAL.
    22. 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.
    23. David E. Rapach & Jack K. Strauss & Guofu Zhou, 2013. "International Stock Return Predictability: What Is the Role of the United States?," Journal of Finance, American Finance Association, vol. 68(4), pages 1633-1662, August.
    24. Fernandez-Perez, Adrian & Garel, Alexandre & Indriawan, Ivan, 2020. "Music sentiment and stock returns," Economics Letters, Elsevier, vol. 192(C).
    25. Birru, Justin, 2018. "Day of the week and the cross-section of returns," Journal of Financial Economics, Elsevier, vol. 130(1), pages 182-214.
    26. Chen, Shiu-Sheng, 2012. "Revisiting the empirical linkages between stock returns and trading volume," Journal of Banking & Finance, Elsevier, vol. 36(6), pages 1781-1788.
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    Cited by:

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    More about this item

    Keywords

    Investor sentiment; Behavioral finance; International stock markets; Return predictability; Limits-to-arbitrage;
    All these keywords.

    JEL classification:

    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing

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