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Dynamic Factor analysis of industry sector default rates and implication for Portfolio Credit Risk Modelling

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Author Info
Andrea Cipollini ()
Giuseppe Missaglia ()

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Abstract

In this paper we use a reduced form model for the analysis of Portfolio Credit Risk. For this purpose, we fit a Dynamic Factor model, DF, to a large dataset of default rates proxies and macrovariables for Italy. Multi step ahead density and probability forecasts are obtained by employing both the direct and indirect method of prediction together with stochastic simulation of the DF model. We, first, find that the direct method is the best performer regarding the out of sample projection of financial distressful events. In a second stage of the analysis, we find that reduced form Portfolio Credit Risk measures obtained through DF are lower than the one corresponding to the Internal Ratings Based analytic formula suggested by Basel 2. Moreover, the direct method of forecasting gives the smallest Portfolio Credit Risk measures. Finally, when using the indirect method of forecasting, the simulation results suggest that an increase in the number of dynamic factors (for a given number of principal components) increases Portfolio Credit Risk.

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Publisher Info
Paper provided by University of Modena and Reggio E., Dept. of Economics in its series Center for Economic Research (RECent) with number 007.

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Length: pages 28
Date of creation: Oct 2007
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Handle: RePEc:mod:recent:007

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Web page: http://www.recent.unimore.it/
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Related research
Keywords: Dynamic Factor Model; Forecasting; Stochastic Simulation; Risk Management; Banking;

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Find related papers by JEL classification:
C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions
C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Other Model Applications
E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation
G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Mortgages
G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation

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    Other versions:
  5. Philipp J. Schönbucher, 2000. "Factor Models for Portofolio Credit Risk," Bonn Econ Discussion Papers bgse16_2001, University of Bonn, Germany. [Downloadable!]
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  7. Pesaran, M. Hashem & Schuermann, Til & Treutler, Bjorn-Jakob & Weiner, Scott M., 2006. "Macroeconomic Dynamics and Credit Risk: A Global Perspective," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(5), pages 1211-1261, August. [Downloadable!] (restricted)
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  13. Marcellino, Massimiliano & Stock, James H & Watson, Mark W, 2005. "A Comparison of Direct and Iterated Multistep AR Methods for Forecasting Macroeconomic Time Series," CEPR Discussion Papers 4976, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
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  14. Martin Summer & Helmut Elsinger & Alfred Lehar, 2002. "Risk Assessment for Banking Systems," Working Papers 79, Oesterreichische Nationalbank (Austrian Central Bank). [Downloadable!]
  15. Hamerle, Alfred & Liebig, Thilo & Scheule, Harald, 2004. "Forecasting Credit Portfolio Risk," Discussion Paper Series 2: Banking and Financial Studies 2004,01, Deutsche Bundesbank, Research Centre. [Downloadable!]
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