Samuel Chege Maina

University of Technology Sydney , Sydney, New South Wales, Australia

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Publications (2)0 Total impact

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    ABSTRACT: This paper proposes a framework for pricing credit derivatives within the defaultable Markovian HJM framework featuring unspanned stochastic volatility. Motivated by empirical evidence, hump-shaped level dependent stochastic volatility specifications are proposed, such that the model admits finite dimensional Markovian structures. The model also accommodates a correlation structure between the stochastic volatility, default-free interest rates and credit spreads. Default free and defaultable bonds are explicitly priced and an approach for pricing credit default swaps and swaptions is presented where the credit swap rates can be approximated by defaultable bond prices with varying maturities. A sensitivity analysis capturing the impact of the model parameters including correlations and stochastic volatility, on the credit swap rate and the value of the credit swaption is also presented.
    International Journal of Theoretical and Applied Finance 07/2011;
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    ABSTRACT: This paper presents a class of defaultable term structure models within the HJM framework with stochastic volatility. Under certain volatility specifications, the model admits finite dimensional Markovian structures and consequently provides tractable solutions for interest rate derivatives. We also investigate the effect of stochastic volatility and of correlation between the stochastic volatility and credit spreads on the defaultable short rate and defaultable bond prices.
    Quantitative Finance Research Centre, University of Technology, Sydney, Research Paper Series. 01/2010;