Abstract

 
 

References (49)



 


 



Credit Portfolio Risk and PD Confidence Sets through the Business Cycle


Stefan Trueck


Macquarie University Sydney - Department of Economics; Financial Research Network (FIRN)

Svetlozar Rachev


University of Karlsruhe - Institut für Statistik und Mathematische Wirtschaftstheorie

February 2005


Abstract:     
Transition matrices are an important determinant for risk management and VaR calculations in credit portfolios. It is well known that rating migration behavior is not constant through time. It shows cyclical behavior and significant changes over the years. We investigate the effect of changes in migration matrices on credit portfolio risk in terms of Expected Loss and Value-at-Risk figures for exemplary loan portfolios. The estimates are based on historical transition matrices for different time horizons and a continuous-time simulation procedure. We further determine confidence sets for the probability of default (PD) in different rating classes by a bootstrapping methodology. Our findings are substantial changes in VaR as well as for the width of estimated PD confidence intervals.

Number of Pages in PDF File: 35

Keywords: Credit VaR, Transition Matrices, Rating Migration, Business Cycle, Continuous-time Modeling, PD estimation

JEL Classification: G30, G33, G21

working papers series


Download This Paper

Date posted: February 28, 2005  

Suggested Citation

Trueck, Stefan and Rachev, Svetlozar, Credit Portfolio Risk and PD Confidence Sets through the Business Cycle (February 2005). Available at SSRN: http://ssrn.com/abstract=675622 or http://dx.doi.org/10.2139/ssrn.675622

Contact Information

Stefan Trueck (Contact Author)
Macquarie University Sydney - Department of Economics ( email )
North Ryde
Sydney, New South Wales 2109
Australia
Financial Research Network (FIRN)
C/- University of Queensland Business School
St Lucia, 4071 Brisbane
Queensland
Australia
HOME PAGE: http://www.firn.org.au

Svetlozar Rachev
University of Karlsruhe - Institut für Statistik und Mathematische Wirtschaftstheorie ( email )
Postbox
D-76128 Karlsruhe, DE 76128
Germany
Feedback to SSRN (Beta)


Paper statistics
Abstract Views: 758
Downloads: 204
Download Rank: 73,388
References:  49

© 2013 Social Science Electronic Publishing, Inc. All Rights Reserved.  FAQ   Terms of Use   Privacy Policy   Copyright
This page was processed by apollo6 in 0.375 seconds