An alternative to the standardized approach for assessing credit risk under the Basel Accords
Yukiko Konno and
Yuki Itoh
Cogent Economics & Finance, 2016, vol. 4, issue 1, 1220119
Abstract:
The current standardized approach for assessing credit risk under Basel III depends on ratings assigned by credit rating agencies (CRAs). However, this approach presents three problems. First, the definitions of ratings used by CRAs to assess the likelihood of default and recovery rates are not uniform. Second, because CRAs assign ratings according to through-the-cycle ratings, their ratings are less accurate in predicting near-term defaults and react slowly to credit events. Third, CRAs have assigned ratings to few Japanese companies. To improve the standardized approach under Basel III, we propose a new method for the evaluation of credit risk without CRAs. We analyse the influence of companies’ financial and non-financial attributes on default and how a default probability model is constructed using annual reports of companies listed on the Tokyo Stock Exchange spanning fiscal 2003–2009. Results indicate that our model predicts default as accurately as CRAs.
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/23322039.2016.1220119 (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:oaefxx:v:4:y:2016:i:1:p:1220119
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/OAEF20
DOI: 10.1080/23322039.2016.1220119
Access Statistics for this article
Cogent Economics & Finance is currently edited by Steve Cook, Caroline Elliott, David McMillan, Duncan Watson and Xibin Zhang
More articles in Cogent Economics & Finance from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().