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Utility indifference valuation of corporate bond with rating migration risk 被引量:3
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作者 Jin LIANG Xudan ZHANG Yuejuan ZHAO 《Frontiers of Mathematics in China》 SCIE CSCD 2015年第6期1389-1400,共12页
A pricing model for a corporate bond with rating migration risk is established in this article. With the technology of utility-indifference valuation under the Markov-modulated framework, we analyze the price of a mul... A pricing model for a corporate bond with rating migration risk is established in this article. With the technology of utility-indifference valuation under the Markov-modulated framework, we analyze the price of a multi-rating bond and obtain closed formulae in a three-rating case. Based on the pricing formulae, the impacts of the parameters on the indifference price are analyzed and some reasonable financial explanations are provided as well. 展开更多
关键词 Utility indifference price credit rating migration HJB equation Markov-modulated
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The Risk Transfer of Non-tradable Risks under Model Uncertainty
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作者 Yu Lian FAN 《Acta Mathematica Sinica,English Series》 SCIE CSCD 2012年第8期1597-1614,共18页
In the context of model uncertainty, we study the optimal design and the pricing of financial instruments aiming to hedge some of non-tradable risks. For the existence of model uncertainty, the preference can be repre... In the context of model uncertainty, we study the optimal design and the pricing of financial instruments aiming to hedge some of non-tradable risks. For the existence of model uncertainty, the preference can be represented by the robust expected utility (also called maxmin expected utility) which can be put in the framework of sublinear expectation. The problem of maximizing the issuer's robust expected utility under the constraint imposed by the buyer can be transformed to the problem of minimizing the issuer's convex measure under the corresponding constraint. And here the convex measure measures not only the risks but also the model uncertainties. 展开更多
关键词 Model uncertainty sublinear expectation indifference pricing risk measure
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