Applying recurrent event analysis to understand the causes of changes in firm credit ratings
AbstractThis study applies recurrent event analysis to examine the determinants of changes in firm credit ratings. This study uses two extended Cox proportional hazard models to examine upgrade and downgrade data separately. Explanatory variables are taken from financial ratios in Z-score (Altman, 1968) and AR-score (Altman and Rijken, 2004) models. The empirical results first suggest that sales to asset ratio and market equity to book debt ratio are the key explanatory variables for the sample comprising credit rating upgrade firms examined using Z-scores specification. Next, the sample of credit rating upgrade firms examined using AR-score variables reveals that the first rating of young firms is generally underestimated. Additionally, analysis of sample comprising credit downgrade firms examined using Z-score specification identifies working capital to asset ratio and market equity to book debt ratio as the key explicative variables. Furthermore, analysis of sample of credit downgrade firms examined using AR-score model reveals that larger firms are not easily downgraded, and old firms are more likely to be downgraded because of their ratings typically having initially been overestimated. Finally, high q firms with high retained earnings may suffer from underinvestment problem. Consequently, credit agencies may be reluctant to upgrade such firms.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by Taylor & Francis Journals in its journal Applied Financial Economics.
Volume (Year): 22 (2012)
Issue (Month): 12 (June)
Contact details of provider:
Web page: http://www.tandfonline.com/RAFE20
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Michael McNulty).
If references are entirely missing, you can add them using this form.