英文标题：
《Credit Value Adjustment for Counterparties with Illiquid CDS》
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作者：
Ola Hammarlid, Marta Leniec
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最新提交年份：
2018
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英文摘要：
Credit Value Adjustment (CVA) is the difference between the value of the default-free and credit-risky derivative portfolio, which can be regarded as the cost of the credit hedge. Default probabilities are therefore needed, as input parameters to the valuation. When liquid CDS are available, then implied probabilities of default can be derived and used. However, in small markets, like the Nordic region of Europe, there are practically no CDS to use. We study the following problem: given that no liquid contracts written on the default event are available, choose a model for the default time and estimate the model parameters. We use the minimum variance hedge to show that we should use the real-world probabilities, first in a discrete time setting and later in the continuous time setting. We also argue that this approach should fulfil the requirements of IFRS 13, which means it could be used in accounting as well. We also present a method that can be used to estimate the real-world probabilities of default, making maximal use of market information (IFRS requirement).
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中文摘要：
信用价值调整（CVA）是无违约和信用风险衍生品组合价值之间的差额，可以视为信用对冲的成本。因此，需要违约概率作为估值的输入参数。当有流动CDS可用时，可以推导并使用隐含违约概率。然而，在像欧洲北欧地区这样的小市场中，几乎没有CD可供使用。我们研究以下问题：假设没有针对默认事件编写的流动合同可用，请为默认时间选择一个模型并估计模型参数。我们使用最小方差对冲表明，我们应该首先在离散时间设置中使用真实世界的概率，然后在连续时间设置中使用。我们还认为，这种方法应该满足IFRS 13的要求，这意味着它也可以用于会计。我们还提出了一种方法，可用于估计实际违约概率，最大限度地利用市场信息（IFRS要求）。
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分类信息：

一级分类：Quantitative Finance 数量金融学
二级分类：Mathematical Finance 数学金融学
分类描述：Mathematical and analytical methods of finance, including stochastic, probabilistic and functional analysis, algebraic, geometric and other methods
金融的数学和分析方法，包括随机、概率和泛函分析、代数、几何和其他方法
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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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