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Analytical methods for hedging systematic credit risk with linear factor portfolios
Multi-factor credit portfolio models are used widely today for managing economic capital and pricing collateralized debt obligations (CDOs) and asset-backed securities. Commonly, practitioners allocate capital to the portfolio components (sub-portfolios, counterparties, or transactions). The hedging...
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Published in: | Journal of economic dynamics & control 2009, Vol.33 (1), p.37-52 |
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container_title | Journal of economic dynamics & control |
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creator | Rosen, Dan Saunders, David |
description | Multi-factor credit portfolio models are used widely today for managing economic capital and pricing collateralized debt obligations (CDOs) and asset-backed securities. Commonly, practitioners allocate capital to the portfolio components (sub-portfolios, counterparties, or transactions). The hedging of credit risk is generally also focused on the ‘deltas’ of underlying names. We present analytical results for hedging portfolio credit risk with linear combinations of systematic factors, based on the minimization of systematic variance of portfolio losses. We solve these problems within a multi-factor Merton-type credit portfolio model, and apply them to hedge systematic credit default losses of loan portfolios and CDOs. |
doi_str_mv | 10.1016/j.jedc.2008.03.010 |
format | article |
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source | International Bibliography of the Social Sciences (IBSS); ScienceDirect Freedom Collection |
subjects | Asset backed securities Capital Capital allocation Collateralized debt obligations Credit Credit risk Credit risk Factor models Hedging Capital allocation Factor models Hedging Linear models Portfolio investments Portfolio management Pricing Risk Studies |
title | Analytical methods for hedging systematic credit risk with linear factor portfolios |
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