Abstract
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.
Original language | English |
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Pages (from-to) | 709-735 |
Number of pages | 27 |
Journal | European Journal of Finance |
Volume | 18 |
Issue number | 8 |
Early online date | 1 Feb 2012 |
DOIs | |
Publication status | Published - 1 Sep 2012 |
Externally published | Yes |
Bibliographical note
This 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.2011.649215Copyright © and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders.
Keywords
- credit ratings
- probit
- rating determinants
- rating likelihood
ASJC Scopus subject areas
- Economics, Econometrics and Finance (miscellaneous)