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Extrapolation beyond peers: An asset pricing perspective

Author

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  • Tang, Guohao
  • Wu, Yiyong
  • Lou, Guanyu

Abstract

We introduce a novel measure that captures the beta deviation of individual firms from their industry peers within China's stock market. Our analysis reveals that stocks with greater beta deviation generate significantly higher future returns. This predictive power is unaffected by established return predictors and remains robust across alternative peer identification methods, beta estimation techniques, and subsample tests. Our findings suggest a behavioral interpretation, linking positive predictability to mispricing driven by investors' extrapolation biases. Overall, our research highlights the critical role of incorporating peer firms into asset pricing, particularly in emerging markets.

Suggested Citation

  • Tang, Guohao & Wu, Yiyong & Lou, Guanyu, 2024. "Extrapolation beyond peers: An asset pricing perspective," Journal of International Money and Finance, Elsevier, vol. 148(C).
    • Handle: RePEc:eee:jimfin:v:148:y:2024:i:c:s0261560624001402
    DOI: 10.1016/j.jimonfin.2024.103153
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    References listed on IDEAS

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    1. Mario J. Maletta & Yue (May) Zhang, 2012. "Investor Reactions to Contrasts Between the Earnings Preannouncements of Peer Firms," Contemporary Accounting Research, John Wiley & Sons, vol. 29(2), pages 361-381, June.
    2. Mark T. Leary & Michael R. Roberts, 2014. "Do Peer Firms Affect Corporate Financial Policy?," Journal of Finance, American Finance Association, vol. 69(1), pages 139-178, February.
    3. Guofu Zhou, 2018. "Measuring Investor Sentiment," Annual Review of Financial Economics, Annual Reviews, vol. 10(1), pages 239-259, November.
    4. de Groot, Wilma & Pang, Juan & Swinkels, Laurens, 2012. "The cross-section of stock returns in frontier emerging markets," Journal of Empirical Finance, Elsevier, vol. 19(5), pages 796-818.
    5. Francis, Bill & Hasan, Iftekhar & Mani, Sureshbabu & Ye, Pengfei, 2016. "Relative peer quality and firm performance," Journal of Financial Economics, Elsevier, vol. 122(1), pages 196-219.
    6. Adhikari, Binay K. & Agrawal, Anup, 2018. "Peer influence on payout policies," Journal of Corporate Finance, Elsevier, vol. 48(C), pages 615-637.
    7. Stefano Cassella & Huseyin Gulen, 2018. "Extrapolation Bias and the Predictability of Stock Returns by Price-Scaled Variables," The Review of Financial Studies, Society for Financial Studies, vol. 31(11), pages 4345-4397.
    8. Andrew J. Patton & Michela Verardo, 2012. "Does Beta Move with News? Firm-Specific Information Flows and Learning about Profitability," The Review of Financial Studies, Society for Financial Studies, vol. 25(9), pages 2789-2839.
    9. Bali, Turan G. & Cakici, Nusret & Whitelaw, Robert F., 2011. "Maxing out: Stocks as lotteries and the cross-section of expected returns," Journal of Financial Economics, Elsevier, vol. 99(2), pages 427-446, February.
    10. Azi Ben‐Rephael & Bruce I. Carlin & Zhi Da & Ryan D. Israelsen, 2021. "Information Consumption and Asset Pricing," Journal of Finance, American Finance Association, vol. 76(1), pages 357-394, February.
    11. Adem Atmaz, 2022. "Stock Return Extrapolation, Option Prices, and Variance Risk Premium," The Review of Financial Studies, Society for Financial Studies, vol. 35(3), pages 1348-1393.
    12. González, Mariano & Nave, Juan & Rubio, Gonzalo, 2018. "Macroeconomic determinants of stock market betas," Journal of Empirical Finance, Elsevier, vol. 45(C), pages 26-44.
    13. 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.
    14. Banz, Rolf W., 1981. "The relationship between return and market value of common stocks," Journal of Financial Economics, Elsevier, vol. 9(1), pages 3-18, March.
    15. Aboody, David & Even-Tov, Omri & Lehavy, Reuven & Trueman, Brett, 2018. "Overnight Returns and Firm-Specific Investor Sentiment," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 53(2), pages 485-505, April.
    16. Bhardwaj, Ravinder K & Brooks, LeRoy D, 1992. "The January Anomaly: Effects of Low Share Price, Transaction Costs, and Bid-Ask Bias," Journal of Finance, American Finance Association, vol. 47(2), pages 553-575, June.
    17. Baele, Lieven & Londono, Juan M., 2013. "Understanding industry betas," Journal of Empirical Finance, Elsevier, vol. 22(C), pages 30-51.
    18. 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.
    19. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    20. repec:zbw:bofrdp:2016_006 is not listed on IDEAS
    21. Kewei Hou & Chen Xue & Lu Zhang, 2020. "Replicating Anomalies," The Review of Financial Studies, Society for Financial Studies, vol. 33(5), pages 2019-2133.
    22. 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.
    23. Robin Greenwood & Andrei Shleifer, 2014. "Expectations of Returns and Expected Returns," The Review of Financial Studies, Society for Financial Studies, vol. 27(3), pages 714-746.
    24. 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.
    25. Liu, Beibei & Tan, Keqi & Wong, Sonia M.L. & Yip, Rita W.Y., 2022. "Intra-industry information transfer in emerging markets: Evidence from China," Journal of Banking & Finance, Elsevier, vol. 140(C).
    26. Da, Zhi & Huang, Xing & Jin, Lawrence J., 2021. "Extrapolative beliefs in the cross-section: What can we learn from the crowds?," Journal of Financial Economics, Elsevier, vol. 140(1), pages 175-196.
    27. Pavel Savor & Mungo Wilson, 2016. "Earnings Announcements and Systematic Risk," Journal of Finance, American Finance Association, vol. 71(1), pages 83-138, February.
    28. Chen, Zilin & Da, Zhi & Huang, Dashan & Wang, Liyao, 2023. "Presidential economic approval rating and the cross-section of stock returns," Journal of Financial Economics, Elsevier, vol. 147(1), pages 106-131.
    29. Jegadeesh, Narasimhan & Titman, Sheridan, 1993. "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
    30. Du, Qianqian & Shen, Rui, 2018. "Peer performance and earnings management," Journal of Banking & Finance, Elsevier, vol. 89(C), pages 125-137.
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    More about this item

    Keywords

    Peer firm; Market beta; Industry peers; Extrapolative expectation;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • 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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