Climate Risk Disclosure and Financial Analysts’ Forecasts: Evidence from China

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Abstract
This study examines whether climate risk disclosure (CRD) matters to financial analysts in China. Using textual analysis to measure CRD, we find that CRD is negatively related to analyst forecast error and dispersion, supporting the information hypothesis. We also find that information disclosure quality (e.g., earnings quality) and external monitoring (e.g., long-term institutional investor) may moderate this relationship. Mechanism analysis indicates that lower information asymmetry and more climate-related on-site visits are potential channels through which CRD influences analyst forecast properties. Furthermore, the above relationship is more pronounced in regions with higher climate awareness, carbon-intensive industries, and state-owned enterprises, and the relationship is primarily driven by transition risk disclosure (TCRD) rather than physical risk disclosure (PCRD). Our findings, which remain valid after addressing various robustness and endogeneity concerns, have significant implications for regulators to standardize and enhance CRD practices.
Funding Information
  • Natural Science Foundation of Shandong Province (ZR2023QG111, 23CX06041A)
  • Fundamental Research Funds for the Central Universities (ZR2023QG111, 23CX06041A)

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