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      An arbitrage-free conic martingale model with application to credit risk

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          Abstract

          Conic martingales refer to Brownian martingales evolving between bounds. Among other potential applications, they have been suggested for the sake of modeling conditional survival probabilities under partial information, as usual in reduced-form models. Yet, conic martingale default models have a special feature; in contrast to the class of Cox models, they fail to satisfy the so-called \emph{immersion property}. Hence, it is not clear whether this setup is arbitrage-free or not. In this paper, we study the relevance of conic martingales-driven default models for practical applications in credit risk modeling. We first introduce an arbitrage-free conic martingale, namely the \(\Phi\)-martingale, by showing that it fits in the class of Dynamized Gaussian copula model of Cr\'epey et al., thereby providing an explicit construction scheme for the default time. In particular, the \(\Phi\)-martingale features interesting properties inherent on its construction easing the practical implementation. Eventually, we apply this model to CVA pricing under wrong-way risk and CDS options, and compare our results with the JCIR++ (a.k.a. SSRJD) and TC-JCIR recently introduced as an alternative.

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          Most cited references17

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          A YIELD-FACTOR MODEL OF INTEREST RATES

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            Modeling Term Structures of Defaultable Bonds

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              ON THE PRICING OF CORPORATE DEBT: THE RISK STRUCTURE OF INTEREST RATES*

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                Author and article information

                Journal
                05 September 2019
                Article
                1909.02474
                43486b0b-74f8-403b-95a2-8985dee860f6

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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                q-fin.MF

                Quantitative finance
                Quantitative finance

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