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Business cycle effects on Portfolio Credit Risk: scenario generation through Dynamic Factor analysis Author info | Abstract | Publisher info | Download info | Related research | Statistics rea cipollini (queen mary university of london)
giuseppe missaglia (iccrea)
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In this paper, we focus on measuring the risk associated to a bank loan portfolio. In particular, we depart from the standard one factor model representation of portfolio credit risk. In particular, we consider an hetrogeneous portfolio, and we account for stochastic dependent recoveries. We also examine the influence of either one systemic shock (interpreted as the state of the business cycle) or two systemic shocks (interpreted as demand and supply innovations) on portfolio credit risk. The identification and estimation of the common shocks is obtained by fitting a Dynamic Factor model to a large number of macro credit drivers. The scenarios are obtained by employing Montecarlo stochastic simulation.
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Paper provided by EconWPA in its series Finance with number
0502010.
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Length: 21 pages
Date of creation: 11 Feb 2005Date of revision:
Handle: RePEc:wpa:wuwpfi:0502010Note: Type of Document - pdf; pages: 21Contact details of provider: Web page: http://129.3.20.41
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Keywords: Risk management default correlation Dynamic Factor ; Find related papers by JEL classification: C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation G20 - Financial Economics - - Financial Institutions and Services - - - General
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References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.: Til Schuermann & Bjoern-Jakob Treutler & Scott M. Weiner & M. Hashem Pesaran, 2003.
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[Downloadable!] (restricted) Mario Forni & Marc Hallin & Marco Lippi & Lucrezia Reichlin, 2000.
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The Review of Economics and Statistics ,
MIT Press, vol. 82(4), pages 540-554, November.
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Other versions: Forni, Mario & Lippi, Marco & Reichlin, Lucrezia, 2003.
"Opening the Black Box: Structural Factor Models versus Structural VARs ,"
CEPR Discussion Papers
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Nickell, Pamela & Perraudin, William & Varotto, Simone, 2000.
"Stability of rating transitions ,"
Journal of Banking & Finance ,
Elsevier, vol. 24(1-2), pages 203-227, January.
[Downloadable!] (restricted)
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