The aim of this paper is to examine the main determinants of the rating likelihood of UK companies. We use a binary probit specification to model the main drivers of a firm's propensity to be rated. Using a sample of 245 non-financial UK companies over the period 1995-2006, representing up to 2872 firm years, the study establishes important differences in the financial profiles of rated and non-rated firms. The results of the rating likelihood models indicate that the decision to obtain a rating is driven by a company's financial risk, solvency, default risk, public debt issuance, R&D, and institutional ownership, thus identifying a wider range of determinants and extending the current literature. The study also finds that the rating decision can be modelled by means of a contemporaneous or predictive specification without any loss of efficiency or classification accuracy. This offers support to the argument that the rating process is fundamentally forward-looking.
|Number of pages||27|
|Journal||European Journal of Finance|
|Early online date||1 Feb 2012|
|Publication status||Published - 1 Sep 2012|
Bibliographical noteThis is an Accepted Manuscript of an article published by Taylor & Francis in European Journal of Finance on 01/02/2012, available online: http://www.tandfonline.com/10.1080/1351847X.2011.649215
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- credit ratings
- rating determinants
- rating likelihood
ASJC Scopus subject areas
- Economics, Econometrics and Finance (miscellaneous)