The Information Value of Disaggregated Credit Ratings

ABSTRACT This study examines whether disaggregated credit ratings offer incremental information about corporate credit risk beyond what is conveyed by aggregated ratings. Using a novel hand‐collected dataset of ratings by Morningstar Credit Research, we examine the information value of four disaggregated rating components—business risk, distance to default, cash flow cushion, and solvency score. Controlling for aggregated credit ratings, we find that disaggregated components add value by predicting both the magnitude of future credit risk and key aspects of issuers’ future financial fundamentals. Our results further show that the predictive ability of disaggregated ratings depends on issuer‐level characteristics, including ex ante financial constraints and the surrounding information environment.

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Publication Details

Journal
Journal of Business Finance &amp Accounting
Published
2026-02-25
DOI
https://doi.org/10.1111/jbfa.70058
Primary Topic
Credit Risk and Financial Regulations
Type
article
Field-Weighted Citation Impact
0.00
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article

The Information Value of Disaggregated Credit Ratings

Xinyu Shi, Hui Tan
Journal of Business Finance &amp Accounting
Credit Risk and Financial Regulations
article

The Information Value of Disaggregated Credit Ratings

Xinyu Shi, Hui Tan
article en

Abstract

ABSTRACT This study examines whether disaggregated credit ratings offer incremental information about corporate credit risk beyond what is conveyed by aggregated ratings. Using a novel hand‐collected dataset of ratings by Morningstar Credit Research, we examine the information value of four disaggregated rating components—business risk, distance to default, cash flow cushion, and solvency score. Controlling for aggregated credit ratings, we find that disaggregated components add value by predicting both the magnitude of future credit risk and key aspects of issuers’ future financial fundamentals. Our results further show that the predictive ability of disaggregated ratings depends on issuer‐level characteristics, including ex ante financial constraints and the surrounding information environment.

Journal of Business Finance &amp Accounting
École Supérieure des Sciences Économiques et Commerciales (FR), University of Bristol (GB), CY Cergy Paris Université (FR)
Openalex Percentile: Top 38%
Credit Risk and Financial Regulations
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