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Journal Articles The Journal of Computational Finance Year : 2013

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

Giorgia Callegaro
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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 $(V_t)_{t \geq 0}$ and inverstors in the market have access to a process $(S_t)_{t \geq 0}$, whose value at each time t is related to $(V_s, s \leq t)$. 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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Dates and versions

hal-00400666 , version 1 (03-07-2009)

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Giorgia Callegaro, Abass Sagna. An application to credit risk of a hybrid Monte Carlo-Optimal quantization method. The Journal of Computational Finance, 2013, 16 (123-156). ⟨hal-00400666⟩
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