Cornaglia, Anna and Morone, Marco (2009): Rating philosophy and dynamic properties of internal rating systems: A general framework and an application to backtesting.
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Abstract
The paper draws a general framework for asset and default dynamics, separating the influence of the economic cycle into a component which is embedded in the rating system and an unobservable risk factor that determines the movements of defaults around the ex ante estimated PDs. The two components – the sensitivity of ratings to credit cycle and conditional asset correlation - can be quantified through a Maximum Likelihood approach, giving a measure of the cyclicality of the rating system, and allowing for a number of applications: among those the modified binomial test proposed here.
Item Type: | MPRA Paper |
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Original Title: | Rating philosophy and dynamic properties of internal rating systems: A general framework and an application to backtesting |
Language: | English |
Keywords: | rating philosophy; rating dynamics; cyclicality; asset correlation; migration matrices; ML estimation; backtesting; binomial test; |
Subjects: | C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C13 - Estimation: General G - Financial Economics > G3 - Corporate Finance and Governance > G32 - Financing Policy ; Financial Risk and Risk Management ; Capital and Ownership Structure ; Value of Firms ; Goodwill C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C15 - Statistical Simulation Methods: General |
Item ID: | 14711 |
Depositing User: | Marco Morone |
Date Deposited: | 19 Apr 2009 04:37 |
Last Modified: | 27 Sep 2019 06:18 |
References: | Aguais S., “Designing and Implementing a Basel II Compliant PIT-TTC rating Framework”, January 2008 Blochwitz S., “Validation of banks’ internal rating systems: a challenging task?, The Journal of Risk Model Validation, Winter 2007/08 Demey P., Jouanin J.F., Roget C., Roncalli T., “Maximum likelihood estimate of default correlations”, Cutting Edge – Credit Risk. 2004 Duellmann K., Scheule H. “Determinants of Asset Correlations of German Corporations and Implications for Regulatory Capital”, 2003 Gordy M., Heitfield E., “Estimating Default Correlation from Short Panels of Credit Rating Performance Data”, 2002 Heitfield Erik A., “Dynamics of rating system”, Studies on the Validation of Internal Rating System (WP14), May 2005 Koyluoglu Ugur H., Wilson T., Yague M., “The Eternal Challenge of Understanding Imperfections”, 2004 McNeil A.J., Frey R., Embrechts P., “Quantitative Risk Management”, Concepts Techniques Tools Rosh D., “An Empirical Comparison of Default Risk Forecasts from Alternative Credit Rating Philosophies”, International Journal of Forecasting Tasche D., “Rating and probability of default validation”, Studies on the Validation of Internal Rating System (WP14), May 2005 Tasche D., “Validation of internal rating systems and PD estimates”, 2006 |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/14711 |