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An application to credit risk of a hybrid Monte Carlo-Optimal quantization method

Computational Finance 2009-07-07 v1 Probability Risk Management

Abstract

In this paper we use a hybrid Monte Carlo-Optimal quantization method to approximate the conditional survival probabilities of a firm, given a structural model for its credit defaul, under partial information. We consider the case when the firm's value is a non-observable stochastic process (Vt)t0(V_t)_{t \geq 0} and inverstors in the market have access to a process (St)t0(S_t)_{t \geq 0}, whose value at each time t is related to (Vs,st)(V_s, s \leq t). We are interested in the computation of the conditional survival probabilities of the firm given the "investor information". As a application, we analyse the shape of the credit spread curve for zero coupon bonds in two examples.

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Cite

@article{arxiv.0907.0645,
  title  = {An application to credit risk of a hybrid Monte Carlo-Optimal quantization method},
  author = {Giorgia Callegaro and Abass Sagna},
  journal= {arXiv preprint arXiv:0907.0645},
  year   = {2009}
}

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22 pages