During the COVID-19 pandemic, many institutions have announced that their counterparties are struggling to fulfill contracts.Therefore, it is necessary to consider the counterparty default risk when pricing options. After the 2008 financial crisis, a variety of value adjustments have been emphasized in the financial industry. The total value adjustment (XVA) is the sum of multiple value adjustments, which is also investigated in many stochastic models such as Heston and Bates models. In this work, a widely used pure jump L\'evy process, the CGMY process has been considered for pricing a Bermudan option with various value adjustments. Under a pure jump L\'evy process, the value of derivatives satisfies a fractional partial differential equation(FPDE). Therefore, we construct a method which combines Monte Carlo with finite difference of FPDE (MC-FF) to find the numerical approximation of exposure, and compare it with the benchmark Monte Carlo-COS (MC-COS) method. We use the discrete energy estimate method, which is different with the existing works, to derive the convergence of the numerical scheme.Based on the numerical results, the XVA is computed by the financial
翻译:在COVID-19大流行期间,许多机构宣布其对应方在努力履行合同。 因此,有必要考虑在定价选项中对应方违约风险。 2008年金融危机后,金融业强调各种价值调整。总价值调整(XVA)是多种价值调整的总和,在Heston和Bates等许多随机模型中也对此进行了调查。在这项工作中,一个广泛使用的纯跳L\'evy流程,考虑CGMY流程来为百慕大选项定价,并进行各种价值调整。在纯跳L\'evy流程下,衍生品的价值达到一个部分部分差异方程式(PFDE)。因此,我们构建了一种方法,将蒙特卡洛与FPDE(MC-FF)的有限差异结合起来,以寻找接触的数值近似值,并与基准Monte Carlo-COS(MC-COS)方法进行比较。我们使用与现有工程不同的离散能源估计方法,以得出数字组合。根据数字结果计算,第十五A是用财务方法计算的。