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Does pension fund ownership reduce market manipulation? Evidence from China

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  • Zhu, Xingting
  • Ma, Xiang
  • Rehman, Faheem Ur
  • Liu, Bin

Abstract

This study demonstrates that Chinese stock pension funds have similar investment preferences to mutual funds (pensions and mutual funds are managed by the same group of fund managers) but consistently underperform (outperform) their mutual fund counterparts in growth (value) stock investing. We call this contradiction China’s pension fund puzzle. To solve this puzzle, we provide evidence that stocks with low pension fund ownership have undertaken high price manipulation risks and should be compensated by a risk manipulation premium. We designed a logit (probit) Model training method using four different datasets to train the Model. The results show that the pension fund shareholding variable significantly reduced the probability of price manipulation (logit: −6.37, t = −4.13; probit:−1.72, t = −4.63). In the asset pricing framework, we constructed a price manipulation factor and evaluate its pricing performance. The Chinese market had a significant price manipulation premium of 1.9% (t = 2.006).

Suggested Citation

  • Zhu, Xingting & Ma, Xiang & Rehman, Faheem Ur & Liu, Bin, 2024. "Does pension fund ownership reduce market manipulation? Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 69(PA).
  • Handle: RePEc:eee:ecofin:v:69:y:2024:i:pa:s1062940823001249
    DOI: 10.1016/j.najef.2023.102001
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    as
    1. Zhi Da & Pengjie Gao & Ravi Jagannathan, 2011. "Impatient Trading, Liquidity Provision, and Stock Selection by Mutual Funds," The Review of Financial Studies, Society for Financial Studies, vol. 24(3), pages 675-720.
    2. Lauren Cohen & Andrea Frazzini & Christopher Malloy, 2008. "The Small World of Investing: Board Connections and Mutual Fund Returns," Journal of Political Economy, University of Chicago Press, vol. 116(5), pages 951-979, October.
    3. He, Wen & Ng, Lilian & Zaiats, Nataliya & Zhang, Bohui, 2017. "Dividend policy and earnings management across countries," Journal of Corporate Finance, Elsevier, vol. 42(C), pages 267-286.
    4. Tarun Chordia & Richard Roll & Avanidhar Subrahmanyam, 2001. "Market Liquidity and Trading Activity," Journal of Finance, American Finance Association, vol. 56(2), pages 501-530, April.
    5. Grossman, Sanford J & Stiglitz, Joseph E, 1980. "On the Impossibility of Informationally Efficient Markets," American Economic Review, American Economic Association, vol. 70(3), pages 393-408, June.
    6. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    7. Allen, Franklin & Gale, Douglas, 1992. "Stock-Price Manipulation," The Review of Financial Studies, Society for Financial Studies, vol. 5(3), pages 503-529.
    8. Mark Bagnoli & Barton L. Lipman, 1996. "Stock Price Manipulation Through Takeover Bids," RAND Journal of Economics, The RAND Corporation, vol. 27(1), pages 124-147, Spring.
    9. F. Drudi, 2005. "Price Manipulation in Parallel Markets with Different Transparency," The Journal of Business, University of Chicago Press, vol. 78(5), pages 1625-1658, September.
    10. Richard B. Evans, 2010. "Mutual Fund Incubation," Journal of Finance, American Finance Association, vol. 65(4), pages 1581-1611, August.
    11. George P. Baker & Brian J. Hall, 2004. "CEO Incentives and Firm Size," Journal of Labor Economics, University of Chicago Press, vol. 22(4), pages 767-798, October.
    12. Chen, Qinhua & Chi, Yeguang, 2018. "Smart beta, smart money," Journal of Empirical Finance, Elsevier, vol. 49(C), pages 19-38.
    13. Qianwei Ying & Dongmin Kong & Danglun Luo, 2015. "Investor Attention, Institutional Ownership, and Stock Return: Empirical Evidence from China," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 51(3), pages 672-685, May.
    14. Meoli, Michele & Vismara, Silvio, 2021. "Information manipulation in equity crowdfunding markets," Journal of Corporate Finance, Elsevier, vol. 67(C).
    15. Fama, Eugene F. & French, Kenneth R., 2004. "New lists: Fundamentals and survival rates," Journal of Financial Economics, Elsevier, vol. 73(2), pages 229-269, August.
    16. Lily H. Fang & Joel Peress & Lu Zheng, 2014. "Does Media Coverage of Stocks Affect Mutual Funds' Trading and Performance?," The Review of Financial Studies, Society for Financial Studies, vol. 27(12), pages 3441-3466.
    17. Khwaja, Asim Ijaz & Mian, Atif, 2005. "Unchecked intermediaries: Price manipulation in an emerging stock market," Journal of Financial Economics, Elsevier, vol. 78(1), pages 203-241, October.
    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. Andrew Ang & Robert J. Hodrick & Yuhang Xing & Xiaoyan Zhang, 2006. "The Cross‐Section of Volatility and Expected Returns," Journal of Finance, American Finance Association, vol. 61(1), pages 259-299, February.
    21. Liu, Qingbai & Wang, Chuanjie & Zhang, Ping & Zheng, Kaixin, 2021. "Detecting stock market manipulation via machine learning: Evidence from China Securities Regulatory Commission punishment cases," International Review of Financial Analysis, Elsevier, vol. 78(C).
    22. Chi, Yeguang & He, Jingbin & Wu, Fei & Yin, Bijiao, 2022. "Optimal information production of mutual funds: Evidence from China," Journal of Banking & Finance, Elsevier, vol. 143(C).
    23. Lin Peng & Ailsa Röell, 2014. "Managerial Incentives and Stock Price Manipulation," Journal of Finance, American Finance Association, vol. 69(2), pages 487-526, April.
    24. 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.
    25. Jer-Shiou Chiou & Pei-Shan Wu & Antony Chang & Bor-Yi Huang, 2007. "The asymmetric information and price manipulation in stock market," Applied Economics, Taylor & Francis Journals, vol. 39(7), pages 883-891.
    26. Chen, Fu-Hsiang & Chi, Der-Jang & Wang, Yi-Cheng, 2015. "Detecting biotechnology industry's earnings management using Bayesian network, principal component analysis, back propagation neural network, and decision tree," Economic Modelling, Elsevier, vol. 46(C), pages 1-10.
    27. 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.
    28. Datar, Vinay T. & Y. Naik, Narayan & Radcliffe, Robert, 1998. "Liquidity and stock returns: An alternative test," Journal of Financial Markets, Elsevier, vol. 1(2), pages 203-219, August.
    29. Eugene F. Fama & Kenneth R. French, 2010. "Luck versus Skill in the Cross‐Section of Mutual Fund Returns," Journal of Finance, American Finance Association, vol. 65(5), pages 1915-1947, October.
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    Cited by:

    1. Yan, Han & Liu, Bin & Zhu, Xingting & Wu, Yan, 2024. "Systemic risk monitoring model from the perspective of public information arrival," The North American Journal of Economics and Finance, Elsevier, vol. 72(C).

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