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Does investor sentiment affect fund crashes? Evidence from Chinese open-end funds

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  • Wang, Hu
  • Li, Shouwei
  • Ma, Yuyin
  • Jiang, Shuyang

Abstract

This paper aims to detect the impact of investor sentiment on the open-end fund crashes, drawing on the open-end stock funds and partial stock funds of China for the 2009–2019 period. The results show that the rise of investor sentiment will significantly increase the risk of the open-end fund crashes, which remains valid after robustness tests. Further researches indicate that the market timing and stock selection abilities of fund managers weaken the positive impact of investor sentiment on the open-end fund crashes, and the market illiquidity promotes the positive impact of investor sentiment on the open-end fund crashes.

Suggested Citation

  • Wang, Hu & Li, Shouwei & Ma, Yuyin & Jiang, Shuyang, 2022. "Does investor sentiment affect fund crashes? Evidence from Chinese open-end funds," The North American Journal of Economics and Finance, Elsevier, vol. 60(C).
    • Handle: RePEc:eee:ecofin:v:60:y:2022:i:c:s1062940822000213
    DOI: 10.1016/j.najef.2022.101662
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    2. Zheng, Shuxia & Zhang, Xiaoming & Wang, Hu, 2023. "Green credit policy and the stock price synchronicity of heavily polluting enterprises," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 251-264.

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    More about this item

    Keywords

    Investor sentiment; Fund crashes; Market timing and stock selection abilities; Market illiquidity;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
    • G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets

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