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Valuing credit spread options under stochastic volatility/interest rates.

机译:在随机波动率/利率下评估信用利差期权。

摘要

This thesis studies the pricing of credit spread options in a continuous time setting. Our main examples are credit spreads between US government bonds and highly risky emerging market bonds, such as Argentina, Brazil, Mexico, etc. Based on empirical findings we model the credit spread options as a geometric Brownian Motion with stochastic volatility. We implement and compare several one-factor stochastic volatility models, namely the Vasicek, Cox-Ingersoll-Ross and Ahn/Gao. As a stochastic model for the credit risk free interest rate, we use the Vasicek model. As a further new ingredient we introduce dependence between the spread rate and interest rate in our pricing model (stochastic volatility is assumed to be independent of the other factors). The mean reverting property of the short rate models enables us to view the mean reverting stochastic volatility models as moment generating function of a time integral of positive diffusion. The moment generating function of the average variance of the credit spread price process is evaluated. The Numerical Laplace inversion method is used to invert the moment generating function to obtain the density of the average variance. This average variance density is then used in the analytic pricing formulae. We compare the credit spread option prices under the closed form and the numerical formula in the cases of no correlation and some correlation between the credit spreads and the short rate under the Vasicek, Cox/Ross and Ahn/Gao(Alternative) mean reverting stochastic volatility model. We also look at the delta hedge parameters for the credit spread options under the various stochastic volatility models. Further analysis is carried out on the effects of correlation between the credit spread, the short rate and various mean reversion parameters on the pricing and hedging of the credit spread options. We finally compare our credit spread option price/hedging stochastic volatility model with the Longstaff and Schwartz model on mean reverting credit spreads under constant volatility.
机译:本文研究了连续时间内信用利差期权的定价。我们的主要例子是美国政府债券与高风险新兴市场债券(例如阿根廷,巴西,墨西哥等)之间的信用利差。基于经验发现,我们将信用利差期权建模为具有随机波动性的几何布朗运动。我们实现并比较了几种单因素随机波动率模型,即Vasicek,Cox-Ingersoll-Ross和Ahn / Gao。作为无信用风险利率的随机模型,我们使用Vasicek模型。作为进一步的新要素,我们在定价模型中引入了点差率和利率之间的依赖关系(假定随机波动率独立于其他因素)。短期利率模型的均值回复特性使我们能够将均值回复随机波动率模型视为正扩散时间积分的矩生成函数。评估信用价差价格过程的平均方差的矩生成函数。拉普拉斯数值反演方法用于反演力矩生成函数以获得平均方差的密度。然后,在分析定价公式中使用该平均方差密度。在Vasicek,Cox / Ross和Ahn / Gao(替代)均值回复随机波动率下,在信用息差与短期利率没有相关性且存在一定相关性的情况下,我们比较了封闭形式和数值公式下的信用利差期权价格模型。我们还研究了各种随机波动率模型下信用利差期权的三角套期保值参数。对信用利差,空头利率和各种均值回复参数之间的相关性对信用利差期权的定价和对冲的影响进行了进一步分析。最后,我们将恒定波动率下的平均信用还原点差与我们的信用点差期权价格/对冲随机波动率模型与Longstaff和Schwartz模型进行了比较。

著录项

  • 作者

    Boafo-Yirenkyi T. H. S;

  • 作者单位
  • 年度 2003
  • 总页数
  • 原文格式 PDF
  • 正文语种 en
  • 中图分类

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