We extend the credit risk valuation framework introduced by Gatfaoui (2003) to stochastic volatility models. We state a general setting for valuing risky debt in the light of systematic risk and idiosyncratic risk, which are known to affect each risky asset in the financial market. The option nature of corporate debt allows then to account for the well-known volatility smile along with two documented determinants, namely stochastic volatility and market risk. Under some regularity conditions, we specify diffusion functionals leading to an asymptotically (relative to time) mean reverting volatility process. The behavior of such a specification is studied along with simulation tehniques since debt is valued via a call on the firm assets value. Specifically, our examination resorts to Monte Carlo accelerators to realize related simulations. First, we consider the evolution of stochastic volatility for given parameter values. Then, we assess its impact on both risky debt and the related credit spread.
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Paper provided by Quantitative Finance Research Centre, University of Technology, Sydney in its series Research Paper Series with number
123.
Length: 40 Date of creation: 01 Apr 2004 Date of revision: Publication status: Forthcoming in Greg N. Gregoriou Eds., Chapter 6, Advances in Risk Management, Palgrave-MacMillan, September 2006 Handle: RePEc:uts:rpaper:123
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
Jan Ericsson & Olivier Renault, 2006.
"Liquidity and Credit Risk,"
Journal of Finance,
American Finance Association, vol. 61(5), pages 2219-2250, October.
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