Institutional Repository
Technical University of Crete
Technical University of Crete
EN
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EL
| URI | http://purl.tuc.gr/dl/dias/6566CB93-1670-4B51-BA91-3EFBB7AAB6E5 | - |
| Identifier | http://www.sciencedirect.com/science/article/pii/S0378426614000247 | - |
| Identifier | https://doi.org/10.1016/j.jbankfin.2014.01.010 | - |
| Language | en | - |
| Extent | 9 pages | en |
| Title | Combining accounting data and a structural model for predicting credit ratings: empirical evidence from European listed firms | en |
| Creator | Michael Doumpos | en |
| Creator | Δουμπος Μιχαλης | el |
| Creator | Niklis Dimitrios | en |
| Creator | Νικλης Δημητριος | el |
| Creator | Zopounidis Konstantinos | en |
| Creator | Ζοπουνιδης Κωνσταντινος | el |
| Creator | Andriosopoulos Kostas | en |
| Publisher | Elsevier | en |
| Content Summary | Ratings issued by credit rating agencies (CRAs) play an important role in the global financial environment. Among other issues, past studies have explored the potential for predicting these ratings using a variety of explanatory factors and modeling approaches. This paper describes a multi-criteria classification approach that combines accounting data with a structural default prediction model in order to obtain improved predictions and test the incremental information that a structural model provides in this context. Empirical results are presented for a panel data set of European listed firms during the period 2002–2012. The analysis indicates that a distance-to-default measure obtained from a structural model adds significant information compared to popular financial ratios. Nevertheless, its power is considerably weakened when market capitalization is also considered. The robustness of the results is examined over time and under different rating category specifications. | en |
| Type of Item | Peer-Reviewed Journal Publication | en |
| Type of Item | Δημοσίευση σε Περιοδικό με Κριτές | el |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2015-11-05 | - |
| Date of Publication | 2015 | - |
| Subject | Credit ratings | en |
| Subject | Rating agencies | en |
| Subject | Black–Scholes–Merton model | en |
| Subject | Multi-criteria decision making | en |
| Bibliographic Citation | M. Doumpos, D. Niklis, C. Zopounidis and K. Andriosopoulos, "Combining accounting data and a structural model for predicting credit ratings: empirical evidence from European listed firms," J. Bank. Finance, vol. 50, pp. 599-607, Jan. 2015. doi:10.1016/j.jbankfin.2014.01.010 | en |
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