How to combine ESG scores? A proposal based on credit rating prediction

Author:

Agosto Arianna1,Giudici Paolo1,Tanda Alessandra1ORCID

Affiliation:

1. Department of Economics and Management University of Pavia Pavia Italy

Abstract

AbstractThe diffusion of Environmental, Social and Governance (ESG) metrics is increasingly affecting corporates behaviour and their ability to attract investors. Corporate ESG practices are nowadays considered as a key element in evaluating creditworthiness and the cost of capital, to direct funds to the best‐performing companies that limit the harmful impact on the planet and the societies. Due to this increased interest in ESG by companies, investors and policymakers, a high number of ESG scores and metrics have been developed, each with different methodologies and scopes. Because of this variety, it could be therefore challenging for investors to understand and compare ESG measures. In this paper, we address this issue by proposing a method to combine the information provided by different ESG scores into a single aggregate measure of company sustainability and link this combined score to the credit rating of companies. The proposed methodology can help investors to improve their investment decisions by combining more diverse information on company sustainability as a driver of companies' credit rating, thereby reducing information asymmetries.

Funder

Horizon 2020 Framework Programme

Publisher

Wiley

Subject

Management, Monitoring, Policy and Law,Strategy and Management,Development

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Striving for sustainable development: Green financial policy, institutional investors, and corporate ESG performance;Corporate Social Responsibility and Environmental Management;2023-09-26

2. What do we know about ESG and risk? A systematic and bibliometric review;Corporate Social Responsibility and Environmental Management;2023-09-21

3. Differentiation strategies and firms' environmental, social and governance: The different moderating effects of historical and social performance shortfalls;Corporate Social Responsibility and Environmental Management;2023-08-25

4. Bayesian learning models to measure the relative impact of ESG factors on credit ratings;International Journal of Data Science and Analytics;2023-07-01

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