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Default-risky bond prices with jumps, liquidity risk and incomplete information

机译:违约风险债券价格上涨,流动性风险和信息不完整

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This paper provides a default-risky bond valuation model, which assumes that the issuer's credit quality, modelled by the intensity of default, is driven by a continuous-time Markov chain. The model accounts for default and liquidity risk as well as incomplete information. A full-information semimartingale representation of a liquid defaultable bond price, which separates three different types of risks - default, interest-rate and credit-quality, is obtained. The illiquidity is modelled as exogenously specified stochastic reduction in the price of the bond, which adds more risks for the investors. A model of a market with partially informed investors, belonging to specific investor classes and having access to discrete information sets about credit quality, was specified. Valuations of defaultable bonds in this market were provided as well as price impacts of the new information releases.
机译:本文提供了一种违约-风险债券估值模型,该模型假定以违约强度为模型的发行人信用质量是由连续时间马尔可夫链驱动的。该模型考虑了违约和流动性风险以及不完整的信息。获得了可流动的违约债券价格的全信息半市场代表,它分离了三种不同类型的风险-违约,利率和信用质量。流动性低下被建模为债券价格的外生特定随机降低,这为投资者增加了更多风险。指定了一个市场模型,该模型具有部分知情的投资者,他们属于特定的投资者类别,并且可以访问有关信贷质量的离散信息集。提供了该市场中可违约债券的估值以及新信息发布的价格影响。

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