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Understanding mispricing in the travel and leisure industry

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  • Narayan, Paresh Kumar
  • Sharma, Susan Sunila
Abstract
In this paper, we show that the travel and leisure industry prices for 18 countries cannot be explained by conventional market risk factors. We, in other words, document significant evidence of mispricing, which increased exponentially due to the COVID-19 pandemic. We empirically show that COVID-19 related news, led by travel-related news, and COVID-19 support indices influenced industry mispricing. Trading on this mispricing is found to be economically significant for investors, who, by buying when prices are undervalued and selling when overvalued, can make annualized profits in the 3.11–25.02% range, depending on the country. These results are robust not only to different risk factors and subsamples, but also to the COVID-19 pandemic. Our findings have implications for travel industry stakeholders, policy makers, and investors.

Suggested Citation

  • Narayan, Paresh Kumar & Sharma, Susan Sunila, 2023. "Understanding mispricing in the travel and leisure industry," International Review of Financial Analysis, Elsevier, vol. 90(C).
  • Handle: RePEc:eee:finana:v:90:y:2023:i:c:s105752192300385x
    DOI: 10.1016/j.irfa.2023.102869
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    References listed on IDEAS

    as
    1. Stambaugh, Robert F. & Yu, Jianfeng & Yuan, Yu, 2014. "The long of it: Odds that investor sentiment spuriously predicts anomaly returns," Journal of Financial Economics, Elsevier, vol. 114(3), pages 613-619.
    2. Wayne E. Ferson & Campbell R. Harvey, 1999. "Conditioning Variables and the Cross Section of Stock Returns," Journal of Finance, American Finance Association, vol. 54(4), pages 1325-1360, August.
    3. Chen, Ruowei & Lei, Zheng, 2017. "Airport dominance and airline pricing power: An investigation of hub premiums in the Chinese domestic market," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 509-524.
    4. 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.
    5. Sharma, Abhinav & Nicolau, Juan Luis, 2020. "An open market valuation of the effects of COVID-19 on the travel and tourism industry," Annals of Tourism Research, Elsevier, vol. 83(C).
    6. Narayan, Paresh Kumar, 2019. "Can stale oil price news predict stock returns?," Energy Economics, Elsevier, vol. 83(C), pages 430-444.
    7. Paul C. Tetlock & Maytal Saar‐Tsechansky & Sofus Macskassy, 2008. "More Than Words: Quantifying Language to Measure Firms' Fundamentals," Journal of Finance, American Finance Association, vol. 63(3), pages 1437-1467, June.
    8. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    9. Robert F. Stambaugh & Jianfeng Yu & Yu Yuan, 2015. "Arbitrage Asymmetry and the Idiosyncratic Volatility Puzzle," Journal of Finance, American Finance Association, vol. 70(5), pages 1903-1948, October.
    10. 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.
    11. Lara Cathcart & Nina M. Gotthelf & Matthias Uhl & Yining Shi, 2020. "News sentiment and sovereign credit risk," European Financial Management, European Financial Management Association, vol. 26(2), pages 261-287, March.
    12. Stambaugh, Robert F. & Yu, Jianfeng & Yuan, Yu, 2012. "The short of it: Investor sentiment and anomalies," Journal of Financial Economics, Elsevier, vol. 104(2), pages 288-302.
    13. Ľuboš Pástor, 2000. "Portfolio Selection and Asset Pricing Models," Journal of Finance, American Finance Association, vol. 55(1), pages 179-223, February.
    14. Umit G. Gurun & Alexander W. Butler, 2012. "Don't Believe the Hype: Local Media Slant, Local Advertising, and Firm Value," Journal of Finance, American Finance Association, vol. 67(2), pages 561-598, April.
    15. Li, Changgui & Liu, Xiaowen & Hou, Zhiping & Li, Yongyi, 2023. "Retail investor attention and equity mispricing: The mediating role of earnings management," Finance Research Letters, Elsevier, vol. 53(C).
    16. Diego García, 2013. "Sentiment during Recessions," Journal of Finance, American Finance Association, vol. 68(3), pages 1267-1300, June.
    17. Paresh Kumar Narayan & Stephan Popp, 2010. "A new unit root test with two structural breaks in level and slope at unknown time," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(9), pages 1425-1438.
    18. Chaieb, Ines & Langlois, Hugues & Scaillet, Olivier, 2021. "Factors and risk premia in individual international stock returns," Journal of Financial Economics, Elsevier, vol. 141(2), pages 669-692.
    19. Shen, Huayu & Zheng, Shaofeng & Xiong, Hao & Tang, Wenjie & Dou, Jiachun & Silverman, Henry, 2021. "Stock market mispricing and firm innovation based on path analysis," Economic Modelling, Elsevier, vol. 95(C), pages 330-343.
    20. Smales, Lee A., 2016. "News sentiment and bank credit risk," Journal of Empirical Finance, Elsevier, vol. 38(PA), pages 37-61.
    21. 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.
    22. Michael J. Brennan & Ashley W. Wang, 2010. "The Mispricing Return Premium," The Review of Financial Studies, Society for Financial Studies, vol. 23(9), pages 3437-3468.
    23. Jacobs, Heiko, 2020. "Hype or help? Journalists’ perceptions of mispriced stocks," Journal of Economic Behavior & Organization, Elsevier, vol. 178(C), pages 550-565.
    24. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    25. William F. Sharpe, 1964. "Capital Asset Prices: A Theory Of Market Equilibrium Under Conditions Of Risk," Journal of Finance, American Finance Association, vol. 19(3), pages 425-442, September.
    26. 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.
    27. Jeffrey F. Jaffe & Jan Jindra & David J. Pedersen & Torben Voetmann, 2020. "Can mispricing explain the value premium?," Financial Management, Financial Management Association International, vol. 49(3), pages 615-633, September.
    28. Elton, Edwin J & Gruber, Martin J & Rentzler, Joel, 1989. "New Public Offerings, Information, and Investor Rationality: The Case of Publicly Offered Commodity Funds," The Journal of Business, University of Chicago Press, vol. 62(1), pages 1-15, January.
    29. Narayan, Paresh Kumar & Bannigidadmath, Deepa, 2021. "Financial news and CDS spreads," Journal of Behavioral and Experimental Finance, Elsevier, vol. 29(C).
    30. Capobianco, Heloisa Márcia Pires & Fernandes, Elton, 2004. "Capital structure in the world airline industry," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(6), pages 421-434, July.
    31. Gur Huberman & Tomer Regev, 2001. "Contagious Speculation and a Cure for Cancer: A Nonevent that Made Stock Prices Soar," Journal of Finance, American Finance Association, vol. 56(1), pages 387-396, February.
    32. Paresh Kumar Narayan & Bernard Njindan Iyke & Susan Sunila Sharma, 2021. "New Measures of the COVID-19 Pandemic - A New Time-Series Dataset," Asian Economics Letters, Asia-Pacific Applied Economics Association, vol. 2(2), pages 1-13.
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