Constant Proportion Debt Obligations (CPDO): Modeling and Risk Analysis

Abstract : Constant Proportion Debt Obligations (CPDOs) are structured credit derivatives that generate high coupon payments by dynamically leveraging a position in an underlying portfolio of investment-grade index default swaps. CPDO coupons and principal notes received high initial credit ratings from the major rating agencies, based on complex models for the joint transition of ratings and spreads for all names in the underlying portfolio. We propose a parsimonious model for analysing the performance of CPDO strategies using a top-down approach that captures the essential risk factors of the CPDO. Our approach allows us to compute default probabilities, loss distributions and other tail risk measures for the CPDO strategy and analyse the dependence of these risk measures on various parameters describing the risk factors. We find that the probability of the CPDO defaulting on its coupon payments can be made arbitrarily small--and thus the credit rating arbitrarily high--by increasing leverage, but the ratings obtained strongly depend on assumptions on the credit environment (high spread or low spread). More importantly, CPDO loss distributions are found to exhibit a wide range of tail risk measures inside a given rating category, suggesting that credit ratings are insufficient performance indicators for such complex leveraged strategies. A worst-case scenario analysis indicates that CPDO strategies have a high exposure to persistent spread-widening scenarios and that CPDO ratings are shown to be quite unstable during the lifetime of the strategy.
Type de document :
Article dans une revue
Quantitative Finance, Taylor & Francis (Routledge), 2012, 12 (8), pp.1199-1218. <10.1080/14697688.2012.690885>
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Contributeur : Rama Cont <>
Soumis le : samedi 16 mars 2013 - 23:58:26
Dernière modification le : mardi 11 octobre 2016 - 15:10:03




Rama Cont, Cathrine Jessen. Constant Proportion Debt Obligations (CPDO): Modeling and Risk Analysis. Quantitative Finance, Taylor & Francis (Routledge), 2012, 12 (8), pp.1199-1218. <10.1080/14697688.2012.690885>. <hal-00801540>



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