问伯特:过渡和物理气候风险的监管披露如何影响CDS期限结构

IF 2.2 3区 经济学 Q2 BUSINESS, FINANCE Journal of Financial Econometrics Pub Date : 2022-07-27 DOI:10.1093/jjfinec/nbac027
Julian F Kölbel, Markus Leippold, Jordy Rillaerts, Qian Wang
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引用次数: 0

摘要

我们使用BERT(一种基于人工智能的语言理解算法)来量化监管气候风险披露,并分析其对信用违约掉期(CDS)市场期限结构的影响。风险披露可以增加或减少CDS价差,这取决于披露是揭示了新的风险还是减少了不确定性。通过训练BERT来区分转型风险和物理气候风险,我们发现披露转型风险增加了2015年《巴黎气候协定》后的CDS价差,而披露物理风险则降低了价差。此外,我们还发现特朗普的当选对面临转型风险的公司的CDS价差产生了负面影响。这些影响与理论预测一致,在经济上和统计上都具有显著意义。
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Ask BERT: How Regulatory Disclosure of Transition and Physical Climate Risks Affects the CDS Term Structure
We use BERT, an AI-based algorithm for language understanding, to quantify regulatory climate risk disclosures and analyze their impact on the term structure in the credit default swap (CDS) market. Risk disclosures can either increase or decrease CDS spreads, depending on whether the disclosure reveals new risks or reduces uncertainty. Training BERT to differentiate between transition and physical climate risks, we find that disclosing transition risks increases CDS spreads after the Paris Climate Agreement of 2015, while disclosing physical risks decreases the spreads. In addition, we also find that the election of Trump had a negative impact on CDS spreads for firms exposed to transition risk. These impacts are consistent with theoretical predictions and economically and statistically significant.
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来源期刊
CiteScore
5.60
自引率
8.00%
发文量
39
期刊介绍: "The Journal of Financial Econometrics is well situated to become the premier journal in its field. It has started with an excellent first year and I expect many more."
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