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Structural Credit Modeling Under Stochastic Volatility

机译:随机波动性下的结构信贷建模

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This paper presents a structural credit model with underlying stochastic volatility, a CIR process, combining the Black/Cox framework with the Heston Model. We allow to calibrate a Heston Model for a non-observable process as underlying of the Black/Cox Model. A closed-form solution for the price of a down-and-out call option on the assets with the debt as barrier and strike price is derived using the concept of optional sampling. Furthermore, estimators are derived with the Method of Moments for Hidden Markov Chains. As an application in Statistical Finance, the default probabilities of Merrill Lynch during the financial crisis are examined.
机译:本文介绍了具有底层随机波动性的结构信用模式,CIR过程,将黑/ COX框架与HESTON模型相结合。 我们允许校准以非易观察过程校准一个髋关节模型,如黑/ Cox模型的基础。 使用可选采样的概念来源于债务和罢工价格的资产上的下降通话选项价格的封闭式解决方案。 此外,估算器源于隐藏马尔可夫链的时刻方法。 作为统计金融的申请,审查了金融危机期间美林林奇的违约概率。

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