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Combining accounting data and a structural model for predicting credit ratings: empirical evidence from European listed firms

Michael Doumpos, Niklis Dimitrios, Zopounidis Konstantinos, Andriosopoulos Kostas

Απλή Εγγραφή


URIhttp://purl.tuc.gr/dl/dias/6566CB93-1670-4B51-BA91-3EFBB7AAB6E5-
Αναγνωριστικόhttp://www.sciencedirect.com/science/article/pii/S0378426614000247-
Αναγνωριστικόhttps://doi.org/10.1016/j.jbankfin.2014.01.010-
Γλώσσαen-
Μέγεθος9 pagesen
ΤίτλοςCombining accounting data and a structural model for predicting credit ratings: empirical evidence from European listed firmsen
ΔημιουργόςMichael Doumposen
ΔημιουργόςΔουμπος Μιχαληςel
ΔημιουργόςNiklis Dimitriosen
ΔημιουργόςΝικλης Δημητριοςel
ΔημιουργόςZopounidis Konstantinosen
ΔημιουργόςΖοπουνιδης Κωνσταντινοςel
ΔημιουργόςAndriosopoulos Kostasen
ΕκδότηςElsevieren
ΠερίληψηRatings 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
ΤύποςPeer-Reviewed Journal Publicationen
ΤύποςΔημοσίευση σε Περιοδικό με Κριτέςel
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2015-11-05-
Ημερομηνία Δημοσίευσης2015-
Θεματική ΚατηγορίαCredit ratingsen
Θεματική ΚατηγορίαRating agenciesen
Θεματική ΚατηγορίαBlack–Scholes–Merton modelen
Θεματική ΚατηγορίαMulti-criteria decision makingen
Βιβλιογραφική ΑναφοράM. 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.2014.01.010en

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