ESG and cost of debt

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Abstract/Contents

Abstract
This paper studies the extent to which ESG (environmental, social, and governance) performance is priced into corporate loans. I construct a firm-specfic ESG measure from 136 raw metrics related to the fundamentals of ESG components. The constructed ESG scores provide measurement transparency and exclude all traditional corporate governance factors that have been established to exert financial impact on firms. Through identification within lender-borrowers persistent relationships over time, I find that a one standard deviation increase in a borrowing companys ESG score leads to a 6.3 basis-point decrease in its loan spread. The reduction in loan spread can be explained through the credit risk channel, where highly rated ESG companies have a 4% lower default probability in the future. Better rm ESG scores also predict fewer financial restatements due to fraud, clerical error, and SEC investigation.

Description

Type of resource text
Form electronic resource; remote; computer; online resource
Extent 1 online resource.
Place California
Place [Stanford, California]
Publisher [Stanford University]
Copyright date 2021; ©2021
Publication date 2021; 2021
Issuance monographic
Language English

Creators/Contributors

Author Zhang, Rebecca Lan
Degree supervisor Seru, Amit
Thesis advisor Seru, Amit
Thesis advisor Buchak, Greg
Thesis advisor Krishnamurthy, Arvind
Thesis advisor Robles Garcia, Claudia
Degree committee member Buchak, Greg
Degree committee member Krishnamurthy, Arvind
Degree committee member Robles Garcia, Claudia
Associated with Stanford University, Graduate School of Business

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility Rebecca Zhang.
Note Submitted to the Graduate School of Business.
Thesis Thesis Ph.D. Stanford University 2021.
Location https://purl.stanford.edu/tm534xm3595

Access conditions

Copyright
© 2021 by Rebecca Lan Zhang
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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