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Fundamental strength strategy: The role of investor sentiment versus limits to arbitrage

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  • Zhu, Zhaobo
  • Sun, Licheng
  • Yung, Kenneth

Abstract

This paper evaluates the return predictability of fundamental strength in a two-dimensional framework that considers both investor sentiment and limits to arbitrage simultaneously. Sentiment and limits to arbitrage have independent and overlapping explanatory power on the return predictability of fundamental strength. The return predictability of fundamental strength is more pronounced among stocks with high arbitrage costs following high sentiment. Among stocks with low arbitrage costs, the fundamental strength strategy is profitable only following high sentiment. However, among stocks with high arbitrage costs, the same strategy can earn economically and statistically significant profits even following low sentiment. Consistent with Miller (1977), we emphasize the interaction of sentiment and limits to arbitrage on stock valuation.

Suggested Citation

  • Zhu, Zhaobo & Sun, Licheng & Yung, Kenneth, 2020. "Fundamental strength strategy: The role of investor sentiment versus limits to arbitrage," International Review of Financial Analysis, Elsevier, vol. 71(C).
  • Handle: RePEc:eee:finana:v:71:y:2020:i:c:s1057521919304284
    DOI: 10.1016/j.irfa.2020.101452
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    as
    1. 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.
    2. 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.
    3. 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.
    4. Chordia, Tarun & Shivakumar, Lakshmanan, 2006. "Earnings and price momentum," Journal of Financial Economics, Elsevier, vol. 80(3), pages 627-656, June.
    5. Nagel, Stefan, 2005. "Short sales, institutional investors and the cross-section of stock returns," Journal of Financial Economics, Elsevier, vol. 78(2), pages 277-309, November.
    6. Zhu, Zhaobo & Sun, Licheng & Yung, Kenneth & Chen, Min, 2020. "Limited investor attention, relative fundamental strength, and the cross-section of stock returns," The British Accounting Review, Elsevier, vol. 52(4).
    7. Amihud, Yakov, 2002. "Illiquidity and stock returns: cross-section and time-series effects," Journal of Financial Markets, Elsevier, vol. 5(1), pages 31-56, January.
    8. Tyler Shumway & Vincent A. Warther, 1999. "The Delisting Bias in CRSP's Nasdaq Data and Its Implications for the Size Effect," Journal of Finance, American Finance Association, vol. 54(6), pages 2361-2379, December.
    9. 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.
    10. Joseph D. Piotroski & Eric C. So, 2012. "Identifying Expectation Errors in Value/Glamour Strategies: A Fundamental Analysis Approach," The Review of Financial Studies, Society for Financial Studies, vol. 25(9), pages 2841-2875.
    11. Abarbanell, JS & Bushee, BJ, 1997. "Fundamental analysis, future earnings, and stock prices," Journal of Accounting Research, Wiley Blackwell, vol. 35(1), pages 1-24.
    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. Fama, Eugene F & MacBeth, James D, 1973. "Risk, Return, and Equilibrium: Empirical Tests," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 607-636, May-June.
    14. Partha Mohanram & Sasan Saiy & Dushyantkumar Vyas, 2018. "Fundamental analysis of banks: the use of financial statement information to screen winners from losers," Review of Accounting Studies, Springer, vol. 23(1), pages 200-233, March.
    15. Samuel G. Hanson & Adi Sunderam, 2014. "The Growth and Limits of Arbitrage: Evidence from Short Interest," The Review of Financial Studies, Society for Financial Studies, vol. 27(4), pages 1238-1286.
    16. Boehme, Rodney D. & Danielsen, Bartley R. & Sorescu, Sorin M., 2006. "Short-Sale Constraints, Differences of Opinion, and Overvaluation," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 41(2), pages 455-487, June.
    17. Lee, Charles M. C. & So, Eric C., 2015. "Alphanomics: The Informational Underpinnings of Market Efficiency," Foundations and Trends(R) in Accounting, now publishers, vol. 9(2-3), pages 59-258, December.
    18. Dashan Huang & Fuwei Jiang & Jun Tu & Guofu Zhou, 2015. "Investor Sentiment Aligned: A Powerful Predictor of Stock Returns," The Review of Financial Studies, Society for Financial Studies, vol. 28(3), pages 791-837.
    19. Duan, Ying & Hu, Gang & McLean, R. David, 2010. "Costly arbitrage and idiosyncratic risk: Evidence from short sellers," Journal of Financial Intermediation, Elsevier, vol. 19(4), pages 564-579, October.
    20. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    21. Lev, B & Thiagarajan, Sr, 1993. "Fundamental Information Analysis," Journal of Accounting Research, Wiley Blackwell, vol. 31(2), pages 190-215.
    22. Xuemin (Sterling) Yan & Lingling Zheng, 2017. "Fundamental Analysis and the Cross-Section of Stock Returns: A Data-Mining Approach," The Review of Financial Studies, Society for Financial Studies, vol. 30(4), pages 1382-1423.
    23. Richard R. Mendenhall, 2004. "Arbitrage Risk and Post-Earnings-Announcement Drift," The Journal of Business, University of Chicago Press, vol. 77(4), pages 875-894, October.
    24. Shleifer, Andrei & Vishny, Robert W, 1997. "The Limits of Arbitrage," Journal of Finance, American Finance Association, vol. 52(1), pages 35-55, March.
    25. Miller, Edward M, 1977. "Risk, Uncertainty, and Divergence of Opinion," Journal of Finance, American Finance Association, vol. 32(4), pages 1151-1168, September.
    26. Xiafei Li & Di Luo, 2017. "Investor Sentiment, Limited Arbitrage, and the Cash Holding Effect," Review of Finance, European Finance Association, vol. 21(6), pages 2141-2168.
    27. Piotroski, JD, 2000. "Value investing: The use of historical financial statement information to separate winners from losers," Journal of Accounting Research, Wiley Blackwell, vol. 38, pages 1-41.
    28. Ou, Jane A. & Penman, Stephen H., 1989. "Financial statement analysis and the prediction of stock returns," Journal of Accounting and Economics, Elsevier, vol. 11(4), pages 295-329, November.
    29. Pontiff, Jeffrey, 2006. "Costly arbitrage and the myth of idiosyncratic risk," Journal of Accounting and Economics, Elsevier, vol. 42(1-2), pages 35-52, October.
    30. Mashruwala, Christina & Rajgopal, Shivaram & Shevlin, Terry, 2006. "Why is the accrual anomaly not arbitraged away? The role of idiosyncratic risk and transaction costs," Journal of Accounting and Economics, Elsevier, vol. 42(1-2), pages 3-33, October.
    31. Zhu, Zhaobo & Sun, Licheng & Chen, Min, 2019. "Fundamental strength and short-term return reversal," Journal of Empirical Finance, Elsevier, vol. 52(C), pages 22-39.
    32. Shumway, Tyler, 1997. "The Delisting Bias in CRSP Data," Journal of Finance, American Finance Association, vol. 52(1), pages 327-340, March.
    33. Fama, Eugene F. & French, Kenneth R., 2006. "Profitability, investment and average returns," Journal of Financial Economics, Elsevier, vol. 82(3), pages 491-518, December.
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    More about this item

    Keywords

    Investor sentiment; Limits to arbitrage; Fundamental strength; Mispricing;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • 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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