Stock Fragility and Corporate Investment Decisions: Evidence from Chinese Mutual Funds
- DOI
- 10.2991/978-94-6239-672-2_53How to use a DOI?
- Keywords
- Institutional Fragility; Stock Return Volatility; Corporate Financial Policies
- Abstract
This paper studies stock price fragility driven by correlated mutual fund trading and its implications for equity volatility and corporate financial policies in the Chinese A-share market. Building on Greenwood and Thesmar (2011), we show that fragility robustly predicts future return volatility and outperforms conventional ownership measures. Firms exposed to higher fragility hold more cash, consistent with precautionary motives, with stronger effects among non-state-owned enterprises. Exploiting China’s alternating mutual fund disclosure regime, we find that fragility constructed from top-ten holdings exhibits greater economic magnitude and statistical significance than that based on full holdings, highlighting the dominant role of core institutional positions. Overall, stock fragility has material effects on both market risk and firms’ real decisions.
- Copyright
- © 2026 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Huan Liao PY - 2026 DA - 2026/05/12 TI - Stock Fragility and Corporate Investment Decisions: Evidence from Chinese Mutual Funds BT - Proceedings of the 2026 3rd International Conference on Applied Economics, Management Science and Social Development (AEMSS 2026) PB - Atlantis Press SP - 560 EP - 567 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6239-672-2_53 DO - 10.2991/978-94-6239-672-2_53 ID - Liao2026 ER -