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Linear Credit Risk Models

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arxiv 1605.07419 v4 pith:ISJWSGPD submitted 2016-05-24 q-fin.MF q-fin.PRq-fin.RM

classification q-fin.MFq-fin.PRq-fin.RM
keywords modelscreditfactorsdefaultlinearoptionpricerisk
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We introduce a novel class of credit risk models in which the drift of the survival process of a firm is a linear function of the factors. The prices of defaultable bonds and credit default swaps (CDS) are linear-rational in the factors. The price of a CDS option can be uniformly approximated by polynomials in the factors. Multi-name models can produce simultaneous defaults, generate positively as well as negatively correlated default intensities, and accommodate stochastic interest rates. A calibration study illustrates the versatility of these models by fitting CDS spread time series. A numerical analysis validates the efficiency of the option price approximation method.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. A lognormal type stochastic volatility model with quadratic drift

    q-fin.MF 2019-08 conditional novelty 7.0 of 10

    A stochastic volatility model with Generalized Inverse Gaussian steady state is made tractable via a measure change to a polynomial diffusion, enabling fast option pricing with orthogonal polynomials.

  2. A multi-factor polynomial framework for long-term electricity forwards with delivery period

    q-fin.MF 2019-08 accept novelty 6.0 of 10

    A polynomial diffusion model with quadratic spot prices yields explicit long-term electricity forward prices, risk premia, and a liquidity-aware risk-minimizing rolling hedge, calibrated to German calendar-year data.

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