A Spot Stochastic Recovery Extension of the Gaussian Copula
Norddine Bennani and
Jerome Maetz
MPRA Paper from University Library of Munich, Germany
Abstract:
The market evolution since the end of 2007 has been characterized by an increase of systemic risk and a high number of defaults. Realized recovery rates have been very dispersed and different from standard assumptions, while 60%-100% super-senior tranches on standard indices have started to trade with significant spread levels. This has triggered a growing interest for stochastic recovery modelling. This paper presents an extension to the standard Gaussian copula framework that introduces a consistent modelling of stochastic recovery. We choose to model directly the spot recovery, which allows to preserve time consistency, and compare this approach to the standard ones, defined in terms of recovery to maturity. Taking a specific form of the spot recovery function, we show that the model is flexible and tractable, and easy to calibrate to both individual credit spread curves and index tranche markets. Through practical numerical examples, we analyze specific model properties, focusing on default risk.
Keywords: stochastic recovery; CDO; correlation smile; base correlation; copula; factor model; default risk (search for similar items in EconPapers)
JEL-codes: C02 G10 G12 G13 (search for similar items in EconPapers)
Date: 2009-07-01
New Economics Papers: this item is included in nep-rmg
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:19736
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