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Evaluating asset pricing models: A revised factor model for China

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  • Li, Zhiyong
  • Rao, Xiao

Abstract

We develop a revised factor model, accounting for unique features of Chinese markets, and evaluate the performance of competing asset pricing models. Extant literature reveals that eliminating the smallest 30% of stocks improves the performance of factor models. The revised factor model excludes firms with a high expected probability of becoming shells, which are companies valued as shells in reverse mergers serving as an alternative way to go public. Our revised model has the smallest model specification errors and the best explanatory power among various constructed portfolios. This new finding suggests that our model offers an effective benchmark model for empirical asset pricing in the Chinese stock market.

Suggested Citation

  • Li, Zhiyong & Rao, Xiao, 2022. "Evaluating asset pricing models: A revised factor model for China," Economic Modelling, Elsevier, vol. 116(C).
    • Handle: RePEc:eee:ecmode:v:116:y:2022:i:c:s0264999322002425
    DOI: 10.1016/j.econmod.2022.106001
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    1. Liu, Jianan & Stambaugh, Robert F. & Yuan, Yu, 2019. "Size and value in China," Journal of Financial Economics, Elsevier, vol. 134(1), pages 48-69.
    2. Hansen, Lars Peter & Jagannathan, Ravi, 1997. "Assessing Specification Errors in Stochastic Discount Factor Models," Journal of Finance, American Finance Association, vol. 52(2), pages 557-590, June.
    3. Novy-Marx, Robert, 2013. "The other side of value: The gross profitability premium," Journal of Financial Economics, Elsevier, vol. 108(1), pages 1-28.
    4. Ma, Xiuli & Zhang, Xindong & Liu, Weimin, 2021. "Further tests of asset pricing models: Liquidity risk matters," Economic Modelling, Elsevier, vol. 95(C), pages 255-273.
    5. Kent Daniel & David Hirshleifer & Lin Sun, 2020. "Short- and Long-Horizon Behavioral Factors," The Review of Financial Studies, Society for Financial Studies, vol. 33(4), pages 1673-1736.
    6. Sha, Yezhou & Gao, Ran, 2019. "Which is the best: A comparison of asset pricing factor models in Chinese mutual fund industry," Economic Modelling, Elsevier, vol. 83(C), pages 8-16.
    7. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    8. Pastor, Lubos & Stambaugh, Robert F., 2003. "Liquidity Risk and Expected Stock Returns," Journal of Political Economy, University of Chicago Press, vol. 111(3), pages 642-685, June.
    9. Hodrick, Robert J. & Zhang, Xiaoyan, 2001. "Evaluating the specification errors of asset pricing models," Journal of Financial Economics, Elsevier, vol. 62(2), pages 327-376, November.
    10. Kent Daniel & David Hirshleifer & Lin Sun, 2020. "Short- and Long-Horizon Behavioral Factors," Review of Finance, European Finance Association, vol. 33(4), pages 1673-1736.
    11. Lee, Charles M.C. & Qu, Yuanyu & Shen, Tao, 2019. "Going public in China: Reverse mergers versus IPOs," Journal of Corporate Finance, Elsevier, vol. 58(C), pages 92-111.
    12. Kewei Hou & Chen Xue & Lu Zhang, 2015. "Editor's Choice Digesting Anomalies: An Investment Approach," The Review of Financial Studies, Society for Financial Studies, vol. 28(3), pages 650-705.
    13. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    14. 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.
    15. 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.
    16. Gibbons, Michael R & Ross, Stephen A & Shanken, Jay, 1989. "A Test of the Efficiency of a Given Portfolio," Econometrica, Econometric Society, vol. 57(5), pages 1121-1152, September.
    17. Grace Xing Hu & Can Chen & Yuan Shao & Jiang Wang, 2019. "Fama–French in China: Size and Value Factors in Chinese Stock Returns," International Review of Finance, International Review of Finance Ltd., vol. 19(1), pages 3-44, March.
    18. Li, Guoping & Zhou, Hong, 2015. "Political connections and access to IPO markets in China," China Economic Review, Elsevier, vol. 33(C), pages 76-93.
    19. Hu, Yi & Dai, Tiantian & Li, Yong & Mallick, Sushanta & Ning, Lutao & Zhu, Baohua, 2021. "Underwriter reputation and IPO underpricing: The role of institutional investors in the Chinese growth enterprise market," International Review of Financial Analysis, Elsevier, vol. 78(C).
    20. Li Pan & Ya Tang & Jianguo Xu, 2016. "Speculative Trading and Stock Returns," Review of Finance, European Finance Association, vol. 20(5), pages 1835-1865.
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    Cited by:

    1. Long, Yunshen & Yan, Jingzhou & Wu, Liang & Long, Xingchen, 2024. "Market price determination: Interpreting quote order imbalance under zero-profit equilibrium," Economic Modelling, Elsevier, vol. 134(C).
    2. Li, Zhiyong & Wan, Yifan & Wang, Tianyi & Yu, Mei, 2023. "Factor-timing in the Chinese factor zoo: The role of economic policy uncertainty," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 85(C).
    3. Zhang, Wei & He, Jie & Ge, Chanyuan & Xue, Rui, 2022. "Real-time macroeconomic monitoring using mixed frequency data: Evidence from China," Economic Modelling, Elsevier, vol. 117(C).
    4. Yu, Lu & Li, Yanglin, 2023. "Testing factor models when asset bubbles occur: A time-varying perspective," Economic Modelling, Elsevier, vol. 124(C).

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    More about this item

    Keywords

    Shell value; Chinese IPO System; Factor models; Anomalies;
    All these keywords.

    JEL classification:

    • 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
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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