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ESG uncertainty, investor attention and stock price crash risk in China: evidence from PVAR model analysis

Business

ESG uncertainty, investor attention and stock price crash risk in China: evidence from PVAR model analysis

D. Yu, T. Meng, et al.

This study by Danni Yu, Tiantian Meng, Minyu Zheng, and Rongyi Ma delves into the intriguing dynamics of ESG uncertainty, investor attention, and stock price crash risk in China. While no direct link between ESG uncertainty and crash risk was found, a fascinating bidirectional relationship with investor attention emerged, suggesting valuable insights for enhancing market transparency and stability.

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~3 min • Beginner • English
Abstract
ESG uncertainty refers to the discrepancies in ratings by multiple third-party ESG rating agencies, challenging investors in assessing a company’s true ESG status. This study integrates ESG rating data from six major Chinese agencies to construct an ESG Uncertainty Index. Using a PVAR model, it explores the bidirectional relationships among ESG uncertainty, investor attention, and stock price crash risk in the Chinese capital market. The findings reveal no direct causal relationship between ESG uncertainty and stock price crash risk. However, there is a bidirectional Granger causality between ESG uncertainty and investor attention, as well as between stock price crash risk and investor attention. This suggests that increased ESG uncertainty and stock price crash risk attract more investor attention, which in turn amplifies these issues. The study implies that investor attention mediates the relationship between ESG uncertainty and stock price crash risk, indirectly affecting the latter. These findings highlight the importance of enhancing information disclosure regarding ESG factors to improve market transparency and stability.
Publisher
Humanities and Social Sciences Communications
Published On
Sep 06, 2024
Authors
Danni Yu, Tiantian Meng, Minyu Zheng, Rongyi Ma
Tags
ESG uncertainty
investor attention
stock price crash risk
China
market transparency
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