气候变化领域集成服务门户(CCPortal): Firm-Level Climate Change Exposure

CCPortal

DOI	10.1111/jofi.13219
	Firm-Level Climate Change Exposure
	Sautner, Zacharias; Van Lent, Laurence; Vilkov, Grigory; Zhang, Ruishen
发表日期	2023
ISSN	0022-1082
EISSN	1540-6261
英文摘要	We develop a method that identifies the attention paid by earnings call participants to firms' climate change exposures. The method adapts a machine learning keyword discovery algorithm and captures exposures related to opportunity, physical, and regulatory shocks associated with climate change. The measures are available for more than 10,000 firms from 34 countries between 2002 and 2020. We show that the measures are useful in predicting important real outcomes related to the net-zero transition, in particular, job creation in disruptive green technologies and green patenting, and that they contain information that is priced in options and equity markets.
语种	英语
WOS研究方向	Business, Finance ; Economics
WOS类目	Social Science Citation Index (SSCI)
WOS记录号	WOS:000961313400001
来源期刊	JOURNAL OF FINANCE
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/280389
作者单位	Frankfurt School Finance & Management; Shanghai University of Finance & Economics
推荐引用方式 GB/T 7714	Sautner, Zacharias,Van Lent, Laurence,Vilkov, Grigory,et al. Firm-Level Climate Change Exposure[J],2023.
APA	Sautner, Zacharias,Van Lent, Laurence,Vilkov, Grigory,&Zhang, Ruishen.(2023).Firm-Level Climate Change Exposure.JOURNAL OF FINANCE.
MLA	Sautner, Zacharias,et al."Firm-Level Climate Change Exposure".JOURNAL OF FINANCE (2023).