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China's cognitive bias premium: An exploration of innovation information

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  • Yin, Libo
  • Xin, Yu

Abstract

The complexity of innovation information often results in investors' cognitive bias, manifesting as an imbalance in the significance attributed to innovation quantity versus innovation quality. Based on investor cognitive bias, this paper explores the problem of innovation pricing in China's A-share market. Empirical findings indicate that cognitive bias creates a premium, primarily driven by mispricing. Moreover, we contend that mispricing originates from the innovation information environment and firms' innovation strategy. Our heterogeneity analysis indicates that the cognitive bias premium is more pronounced in high-tech industries, firms with lower market capitalization, and those facing stronger financial constraints.

Suggested Citation

  • Yin, Libo & Xin, Yu, 2024. "China's cognitive bias premium: An exploration of innovation information," International Review of Economics & Finance, Elsevier, vol. 96(PA).
    • Handle: RePEc:eee:reveco:v:96:y:2024:i:pa:s1059056024005185
    DOI: 10.1016/j.iref.2024.103526
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    as
    1. Liang, Yousha & Shi, Kang & Tao, Hanyi & Xu, Juanyi, 2024. "Learning by exporting: Evidence from patent citations in China," Journal of International Economics, Elsevier, vol. 150(C).
    2. Higham, Kyle & de Rassenfosse, Gaétan & Jaffe, Adam B., 2021. "Patent Quality: Towards a Systematic Framework for Analysis and Measurement," Research Policy, Elsevier, vol. 50(4).
    3. Antoniou, Constantinos & Doukas, John A. & Subrahmanyam, Avanidhar, 2013. "Cognitive Dissonance, Sentiment, and Momentum," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 48(1), pages 245-275, February.
    4. Bryan Kelly & Dimitris Papanikolaou & Amit Seru & Matt Taddy, 2021. "Measuring Technological Innovation over the Long Run," American Economic Review: Insights, American Economic Association, vol. 3(3), pages 303-320, September.
    5. Nicolosi, Gina & Peng, Liang & Zhu, Ning, 2009. "Do individual investors learn from their trading experience?," Journal of Financial Markets, Elsevier, vol. 12(2), pages 317-336, May.
    6. Silverberg, Gerald & Verspagen, Bart, 2007. "The size distribution of innovations revisited: An application of extreme value statistics to citation and value measures of patent significance," Journal of Econometrics, Elsevier, vol. 139(2), pages 318-339, August.
    7. Hanna Hottenrott & Bronwyn H. Hall & Dirk Czarnitzki, 2016. "Patents as quality signals? The implications for financing constraints on R&D," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 25(3), pages 197-217, April.
    8. Marco, Alan C. & Sarnoff, Joshua D. & deGrazia, Charles A.W., 2019. "Patent claims and patent scope," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    9. Shu, Tao & Tian, Xuan & Zhan, Xintong, 2022. "Patent quality, firm value, and investor underreaction: Evidence from patent examiner busyness," Journal of Financial Economics, Elsevier, vol. 143(3), pages 1043-1069.
    10. Tristan Fitzgerald & Benjamin Balsmeier & Lee Fleming & Gustavo Manso, 2021. "Innovation Search Strategy and Predictable Returns," Management Science, INFORMS, vol. 67(2), pages 1109-1137, February.
    11. Kong, Dongmin & Yang, Yiwei & Wang, Qin, 2023. "Innovative efficiency and firm value: Evidence from China," Finance Research Letters, Elsevier, vol. 52(C).
    12. Li, Feng, 2008. "Annual report readability, current earnings, and earnings persistence," Journal of Accounting and Economics, Elsevier, vol. 45(2-3), pages 221-247, August.
    13. Lauren Cohen & Karl Diether & Christopher Malloy, 2013. "Misvaluing Innovation," The Review of Financial Studies, Society for Financial Studies, vol. 26(3), pages 635-666.
    14. Liu, Jianan & Stambaugh, Robert F. & Yuan, Yu, 2019. "Size and value in China," Journal of Financial Economics, Elsevier, vol. 134(1), pages 48-69.
    15. 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.
    16. 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.
    17. Dyer, Travis A. & Glaeser, Stephen & Lang, Mark H. & Sprecher, Caroline, 2024. "The effect of patent disclosure quality on innovation," Journal of Accounting and Economics, Elsevier, vol. 77(2).
    18. Hegde, Shantaram P. & Mishra, Dev R., 2023. "Patented knowledge capital and implied equity risk premium," Journal of Banking & Finance, Elsevier, vol. 148(C).
    19. Joan Farre‐Mensa & Deepak Hegde & Alexander Ljungqvist, 2020. "What Is a Patent Worth? Evidence from the U.S. Patent “Lottery”," Journal of Finance, American Finance Association, vol. 75(2), pages 639-682, April.
    20. Kewei Hou & Tobias J. Moskowitz, 2005. "Market Frictions, Price Delay, and the Cross-Section of Expected Returns," The Review of Financial Studies, Society for Financial Studies, vol. 18(3), pages 981-1020.
    21. Gu, Lifeng, 2016. "Product market competition, R&D investment, and stock returns," Journal of Financial Economics, Elsevier, vol. 119(2), pages 441-455.
    22. 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.
    23. Cornaggia, Jess & Mao, Yifei & Tian, Xuan & Wolfe, Brian, 2015. "Does banking competition affect innovation?," Journal of Financial Economics, Elsevier, vol. 115(1), pages 189-209.
    24. Hirshleifer, David & Hsu, Po-Hsuan & Li, Dongmei, 2013. "Innovative efficiency and stock returns," Journal of Financial Economics, Elsevier, vol. 107(3), pages 632-654.
    25. Praveen Kumar & Dongmei Li, 2016. "Capital Investment, Innovative Capacity, and Stock Returns," Journal of Finance, American Finance Association, vol. 71(5), pages 2059-2094, October.
    26. Justine S. Hastings & Brigitte C. Madrian & William L. Skimmyhorn, 2013. "Financial Literacy, Financial Education, and Economic Outcomes," Annual Review of Economics, Annual Reviews, vol. 5(1), pages 347-373, May.
    27. Hilliard, Jitka & Zhang, Haoran, 2015. "Size and price-to-book effects: Evidence from the Chinese stock markets," Pacific-Basin Finance Journal, Elsevier, vol. 32(C), pages 40-55.
    28. Ekkehart Boehmer & Juan (Julie) Wu, 2013. "Short Selling and the Price Discovery Process," The Review of Financial Studies, Society for Financial Studies, vol. 26(2), pages 287-322.
    29. Huang, Kenneth Guang-Lih & Huang, Can & Shen, Huijun & Mao, Hao, 2021. "Assessing the value of China's patented inventions," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    30. Tim Martens, 2023. "The disclosure function of the U.S. patent system: evidence from the PTDL program and extreme snowfall," Review of Accounting Studies, Springer, vol. 28(1), pages 237-264, March.
    31. Dev R. Mishra, 2017. "Post-innovation CSR Performance and Firm Value," Journal of Business Ethics, Springer, vol. 140(2), pages 285-306, January.
    32. Raiteri, Emilio, 2018. "A time to nourish? Evaluating the impact of public procurement on technological generality through patent data," Research Policy, Elsevier, vol. 47(5), pages 936-952.
    33. Hirschey, Mark & Richardson, Vernon J., 2004. "Are scientific indicators of patent quality useful to investors?," Journal of Empirical Finance, Elsevier, vol. 11(1), pages 91-107, January.
    34. Gustaf Bellstam & Sanjai Bhagat & J. Anthony Cookson, 2021. "A Text-Based Analysis of Corporate Innovation," Management Science, INFORMS, vol. 67(7), pages 4004-4031, July.
    35. Gina Nicolosi & Liang Peng & Ning Zhu, 2003. "Do Individual Investors Learn from Their Trading Experience?," Yale School of Management Working Papers ysm439, Yale School of Management, revised 01 Sep 2009.
    36. Jean O. Lanjouw & Mark Schankerman, 2004. "Patent Quality and Research Productivity: Measuring Innovation with Multiple Indicators," Economic Journal, Royal Economic Society, vol. 114(495), pages 441-465, April.
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