Analytical Framework for Credit Portfolios. Part I: Systematic Risk
Risk Management
2011-07-14 v3 Computational Finance
Portfolio Management
Abstract
Analytical, free of time consuming Monte Carlo simulations, framework for credit portfolio systematic risk metrics calculations is presented. Techniques are described that allow calculation of portfolio-level systematic risk measures (standard deviation, VaR and Expected Shortfall) as well as allocation of risk down to individual transactions. The underlying model is the industry standard multi-factor Merton-type model with arbitrary valuation function at horizon (in contrast to the simplistic default-only case). High accuracy of the proposed analytical technique is demonstrated by benchmarking against Monte Carlo simulations.
Keywords
Cite
@article{arxiv.0911.0223,
title = {Analytical Framework for Credit Portfolios. Part I: Systematic Risk},
author = {Mikhail Voropaev},
journal= {arXiv preprint arXiv:0911.0223},
year = {2011}
}
Comments
Obsolete, see "Analytical Framework for Credit Portfolios" instead