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Review of Accounting Studies
Article . 2022 . Peer-reviewed
License: CC BY
Data sources: Crossref
SSRN Electronic Journal
Article . 2021 . Peer-reviewed
Data sources: Crossref
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Credit Risk Assessment and Executives' Legal Expertise

Authors: Mia Hang Pham; Yulia Merkoulova; Chris Veld;

Credit Risk Assessment and Executives' Legal Expertise

Abstract

AbstractWe study whether firms that are led by chief executive officers (CEOs) with law degrees (lawyer CEOs) have different credit ratings and costs of debt from other firms. Our sample consists of Standard & Poor’s 1500 firms from 1992 to 2020, 9.2% of which have lawyer CEOs. We find that these firms have better credit ratings, compared to other firms. On average, their cost of debt is 10% lower than that of firms led by CEOs without legal backgrounds. Our results are robust to different specifications, sampling methods, and controls, such as firm and CEO characteristics. We identify two ways that CEO expertise translates into higher credit ratings: lawyer CEOs are associated with a lower future volatility of stock returns and a reduction in information risk. The decreased business risk and better financial reporting are associated with 5% lower auditing fees for firms with lawyer CEOs.

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
27
Top 10%
Top 10%
Top 10%
hybrid