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2011 | 7 (14) | 199-212
Article title

The issue of pd estimation – a practical approach

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EN
Abstracts
EN
The issue of estimating the probability of default constitutes one of the foundations of risk systems applied in modern banking. The Basel Committee pays a lot of attention to ways of its estimation and validation. This paper discusses statistical methods enabling PD estimations with consideration of the retail character of a credit portfolio. The author refers to the issue of defining default and to the way of calculating the number of days in arrears. This paper presents the results of research studies obtained on the basis of retail credit portfolio. For selected sub-portfolios, the author makes a comparison of the probability of default, which enables the explicit risk assessment.
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199-212
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author
References
  • Aldrich J.H., Nelson F.D. (1984). Linear probability, logit, and probit models. Newgury Park. London.
  • Allen L., DeLong G.L., Saunders A. (2003). Issues in the Credit Risk Modeling of Retail Markets. NYU Stern School of Business Working Paper No. FIN-03-007. http://ssrn.com/abstract=412520.
  • Basel Committee on Banking Supervision (BCBS) (2006). International Convergence on Capital Measurement and Capital Standards. Bank for International Settlements. Basel.
  • Blochwitz S., Hohl S. (2001). The Worst Case or What Default Rates Do We Have to Expect from the Rating Agencies? Working Paper. Deutsche Bundesbank. Frankfurt.
  • Burr I.W. (1942). Cumulative frequency functions. Annals of Mathematical Statistics. Vol. 13.
  • Cantor R., Falkenstein E. (2001). Testing for rating consistency in annual default rates. Journal of Fixed Income. Vol. 11(2).
  • Cantor R., Mann C. (2003). Are corporate bond ratings procyclical? Moody‟s Special Comment. October.
  • Duffie D., Singleton K.J. (2003). Credit Risk: Pricing Measurement and Management. Princeton University Press. Princeton, NJ.
  • Gruszczyński M. (2001). Models and Forecasts of Qualitative Variables in Finance and Banking. Warszawa.
  • Hastie T., Tibshirani R., Friedman J. (2001). The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer. New York.
  • Heitfield H. (2005). Studies on the Validation of Internal Rating Systems. Working Paper 14. Basel Committee on Banking Supervision.
  • Jafry Y., Schuermann T. (2004). Measurement, estimation and comparison of credit migration matrices. Journal of Banking and Finance. Vol. 28(11).
  • Jajuga K. (1993). Multivariate Statistical Analysis. PWN. Warszawa.
  • Lopez J.A. (2004). The empirical relationship between average asset correlation, firm probability of default, and asset size. Journal of Financial Intermediation. No. 13. Pp. 265-283.
  • Merton R.C. (1974). On the pricing of corporate debt: The risk structure of interest rates. Journal of Finance. No. 29. Pp. 449-470.
  • Pluto K., Tasche D. (2005). Thinking positively. Risk. Vol. 18(8). Pp. 72-78
  • Rösch D., Scheule H. (2004). Forecasting retail portfolio credit risk. Journal of Risk Finance. Winter/Spring. Pp. 16-32.
  • Sabato G. (2006). Managing Credit Risk for Retail Low-Default Portfolios. http://ssrn.com/abstract=908373.
  • Saunders A. (2002). Credit Risk Measurement: New Approaches to Value at Risk and Other Paradigms. John Wiley & Sons.
  • Schuermann T., Hanson S. (2004). Estimating Probability of Default. Federal Reserve Bank of New York Staff Reports.
  • Svec M. (2009). PD Backtesting Empirical Study on Credit Retail Portfolio. CSOB Bank.
  • Tasche D. (2003). A Traffic Lights Approach to PD Validation. Working Paper. Deutsche Bundesbank.
  • Vasicek O. (1991). Working paper. KMV Corporation.
  • Vasicek O. (2002). The distribution of loan portfolio value. Risk. December.
Document Type
Publication order reference
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YADDA identifier
bwmeta1.element.desklight-73b8b262-773d-43de-86c6-19bb0dcbfae8
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