ESG, risk, and (tail) dependence

被引:33
作者
Bax, Karoline [1 ,3 ]
Sahin, Ozge [2 ]
Czado, Claudia [2 ,4 ]
Paterlini, Sandra [1 ]
机构
[1] Univ Trento, Dept Econ & Management, Via Inama 5, I-38122 Trento, Italy
[2] Tech Univ Munich, Dept Math, Boltzmanstr 3, D-85748 Garching, Germany
[3] Tech Univ Munich, Ctr Digital Transformat, TUM Sch Management, TUM Campus Heilbronn, Bildungscampus 2, D-74076 Heilbronn, Germany
[4] Munich Data Sci Inst, Walther Von Dyck Str 10, D-85748 Garching, Germany
关键词
ESG scores; Risk; Dependence; Tail dependence; Vine copula models; CORPORATE SOCIAL-RESPONSIBILITY; INTEGRATING ESG; FINANCIAL RISK; EQUITY; PERFORMANCE; MANAGEMENT; MODEL; RETURNS; COPULAS; IMPACT;
D O I
10.1016/j.irfa.2023.102513
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
While environmental, social, and governance (ESG) trading activity has been a distinctive feature of financial markets, the debate if ESG scores can also convey information regarding a company's riskiness remains open. Regulatory authorities, such as the European Banking Authority (EBA), have acknowledged that ESG factors can contribute to risk. Therefore, it is important to model such risk dependencies and quantify what part of a company's riskiness can be attributed to the ESG scores. This paper aims to question whether ESG scores can be used to provide information on (tail) riskiness. By analyzing the (tail) dependence structure of companies with a range of ESG scores, that is within an ESG rating class, using high-dimensional vine copula modeling, we are able to show that risk can also depend on and be directly associated with a specific ESG rating class. Empirical findings on real-world data show positive not negligible ESG risks determined by ESG scores, especially during the 2008 crisis.
引用
收藏
页数:20
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