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摘要翻译：
在2008年金融危机期间，交易对手信用风险对衍生品合约的重要性一直得到证明。信用价值调整(CVA)的准确估值对于反映这些风险的经济价值至关重要。在本文中，我们回顾了几种不同的计算CVA的方法，并比较了每种方法的优缺点。我们还为该计算引入了一个更高效、更可伸缩的计算框架。
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英文标题：
《An Efficient, Distributable, Risk Neutral Framework for CVA Calculation》
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作者：
Dongsheng Lu and Frank Juan
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最新提交年份：
2010
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分类信息：
一级分类：Quantitative Finance 数量金融学
二级分类：Computational Finance 计算金融学
分类描述：Computational methods, including Monte Carlo, PDE, lattice and other numerical methods with applications to financial modeling
计算方法，包括蒙特卡罗，偏微分方程，格子和其他数值方法，并应用于金融建模
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一级分类：Quantitative Finance 数量金融学
二级分类：Pricing of Securities 证券定价
分类描述：Valuation and hedging of financial securities, their derivatives, and structured products
金融证券及其衍生产品和结构化产品的估值和套期保值
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一级分类：Quantitative Finance 数量金融学
二级分类：Risk Management 风险管理
分类描述：Measurement and management of financial risks in trading, banking, insurance, corporate and other applications
衡量和管理贸易、银行、保险、企业和其他应用中的金融风险
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英文摘要：
The importance of counterparty credit risk to the derivative contracts was demonstrated consistently throughout the financial crisis of 2008. Accurate valuation of Credit value adjustment (CVA) is essential to reflect the economic values of these risks. In the present article, we reviewed several different approaches for calculating CVA, and compared the advantage and disadvantage for each method. We also introduced an more efficient and scalable computational framework for this calculation.
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PDF链接：
https://arxiv.org/pdf/1010.1689
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