Credit Risk Assessment of Corporate Sector in Croatia
AbstractThe main goal of this paper is modeling credit risk of non-financial businesses entities by assessing the rating migration probabilities and predicting the probability of default over one year horizon on the basis of corporate financial accounts. Our research provides a number of new important insights. Ratings migration matrices are symmetrical in every observed period, which implies that default state is not final terminal state. We find a high degree of rating stability, with the exception of some volatility generated by firms in the middle of the ratings scale. In the period of lower economic growth probabilities of transition between different risks categories are lower than in the period of higher economic growth. Probabilities of default are relatively stable across enterprises operating in different economic activities. After considering a wide range of potential predictors of default, multivariate logistic regression results reveal that the most important are the ratio of shareholders’ equity to total assets and the ratio of EBIT to total liabilities, both negatively related to the probability of default. In addition, higher liquidity, profitability and sales as well as construction and real estate sector affiliation all decrease the companies’ probability of default in the following year. The model correctly classifies relatively reasonable percentage of companies in the sample (74% of all the companies, 71% of defaulted and 75% of non-defaulted companies) when the threshold is set in such a way to maximize the sum of correctly predicted proportions for both defaulted and nondefaulted companies.
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Bibliographic InfoArticle provided by Institute of Public Finance in its journal Financial Theory and Practice.
Volume (Year): 33 (2009)
Issue (Month): 4 ()
credit risk; corporate default; migration matrices; logit;
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- Jacobson, Tor & Kindell, Rikard & Lindé, Jesper & Roszbach, Kasper F., 2008.
"Firm Default and Aggregate Fluctuations,"
CEPR Discussion Papers
7083, C.E.P.R. Discussion Papers.
- Tor Jacobson & Jesper Lindé & Kasper Roszbach, 2011. "Firm default and aggregate fluctuations," International Finance Discussion Papers 1029, Board of Governors of the Federal Reserve System (U.S.).
- Tor Jacobson & Rikard Kindell & Jesper Linde & Kasper Roszbach, 2008. "Firm default and aggregate fluctuations," Working Papers 08-21, Federal Reserve Bank of Philadelphia.
- Jacobson, Tor & Kindell, Rikard & Lindé, Jesper & Roszbach, Kasper, 2008. "Firm Default and Aggregate Fluctuations," Working Paper Series 226, Sveriges Riksbank (Central Bank of Sweden).
- Pamela Nickell & William Perraudin & Simone Varotto, 2001.
"Stability of ratings transitions,"
Bank of England working papers
133, Bank of England.
- Andreas Charitou & Evi Neophytou & Chris Charalambous, 2004. "Predicting corporate failure: empirical evidence for the UK," European Accounting Review, Taylor and Francis Journals, vol. 13(3), pages 465-497.
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