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Patenting activity or innovative originality?

Author

Listed:
  • Anna Bedford
  • Le Ma
  • Nelson Ma
  • Kristina Vojvoda

Abstract

We re‐examine the cross‐sectional stock return predictability of innovative originality documented in the 2018 paper by Hirshleifer et al. and introduce two measures of patenting activity: patent existence and patent counts. As firms with zero patents have zero innovative originality, we conjecture and find a high correlation between patenting activity measures and innovative originality. The findings of Hirshleifer et al. do not hold when we control for patenting activity. Our results highlight that simple patenting activity measures capture a significant portion of innovative originality, and hence need to be adequately controlled for in future innovation studies.

Suggested Citation

  • Anna Bedford & Le Ma & Nelson Ma & Kristina Vojvoda, 2021. "Patenting activity or innovative originality?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(3), pages 4191-4207, September.
    • Handle: RePEc:bla:acctfi:v:61:y:2021:i:3:p:4191-4207
    DOI: 10.1111/acfi.12730
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    References listed on IDEAS

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    1. David Hirshleifer & Po-Hsuan Hsu & Dongmei Li, 2018. "Innovative Originality, Profitability, and Stock Returns," The Review of Financial Studies, Society for Financial Studies, vol. 31(7), pages 2553-2605.
    2. Christodoulou, Demetris & Lev, Baruch & Ma, Le, 2018. "The productivity of Chinese patents: The role of business area and ownership type," International Journal of Production Economics, Elsevier, vol. 199(C), pages 107-124.
    3. Bronwyn H. Hall & Adam B. Jaffe & Manuel Trajtenberg, 2001. "The NBER Patent Citation Data File: Lessons, Insights and Methodological Tools," NBER Working Papers 8498, National Bureau of Economic Research, Inc.
    4. 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.
    5. Lee, Charles M.C. & Sun, Stephen Teng & Wang, Rongfei & Zhang, Ran, 2019. "Technological links and predictable returns," Journal of Financial Economics, Elsevier, vol. 132(3), pages 76-96.
    6. Lauren Cohen & Andrea Frazzini, 2008. "Economic Links and Predictable Returns," Journal of Finance, American Finance Association, vol. 63(4), pages 1977-2011, August.
    7. Li, Jun & Yu, Jianfeng, 2012. "Investor attention, psychological anchors, and stock return predictability," Journal of Financial Economics, Elsevier, vol. 104(2), pages 401-419.
    8. Hirshleifer, David & Hsu, Po-Hsuan & Li, Dongmei, 2013. "Innovative efficiency and stock returns," Journal of Financial Economics, Elsevier, vol. 107(3), pages 632-654.
    9. Lauren Cohen & Karl Diether & Christopher Malloy, 2013. "Misvaluing Innovation," The Review of Financial Studies, Society for Financial Studies, vol. 26(3), pages 635-666.
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    Cited by:

    1. Bedford, Anna & Ma, Le & Ma, Nelson & Vojvoda, Kristina, 2022. "Australian innovation: Patent database construction and first evidence," Pacific-Basin Finance Journal, Elsevier, vol. 73(C).

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