The Relevance of Accounting Data in the Measurement of Credit Risk
Amer Demirovic and
Dylan Thomas
The European Journal of Finance, 2007, vol. 13, issue 3, 253-268
Abstract:
Option pricing theory provides a robust and theoretically sound framework for the measurement of credit risk. Assuming perfect market conditions, information relevant to the measurement of a firm's credit risk is reflected in its equity price, with no role for accounting data. This hypothesis is tested using UK data and credit ratings as a proxy for credit risk. It is found that Merton's distance-to-default measure is the most significant variable in the measurement of credit risk. However, it is also found that accounting variables are incrementally informative when added to a model that contains only the distance-to-default measure. The incremental informativeness of accounting data varies across industries and depends on firm size. Although it is found that the general level of credit risk depends on the state of the economy, there is no evidence to suggest that the incremental informativeness of the accounting variables depends upon macroeconomic conditions.
Date: 2007
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (17)
Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/13518470601025177 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:eurjfi:v:13:y:2007:i:3:p:253-268
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/REJF20
DOI: 10.1080/13518470601025177
Access Statistics for this article
The European Journal of Finance is currently edited by Chris Adcock
More articles in The European Journal of Finance from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().