Libor市场随机基差模型-使用OIS收益率和货币市场基差进行校准

Joerg Kienitz
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引用次数: 1

摘要

通常,如Mercurio, F.(2009)所指定的具有随机基础的Libor市场模型缺乏适当的校准,因为没有足够的市场报价可用。为此,我们建议采用低参数模型,本质上是校准到当前OIS曲线。然后,对于远期,我们使用Libor市场模型,其中有足够多的报价工具,如上限、掉期、CMS或CMS价差期权。OIS曲线与Libor模型的依赖关系由货币市场基差给出。Mercurio, F.和Xie, Z.(2012)提出了对OIS动态采用低因子模型的想法。但他们也建议对远期使用低因子模型。在本文中,我们将OIS零息债券的低因素动态与Mercurio, F.(2009)中提出的多曲线Libor市场模型的框架结合起来,采用了一种不同的建模方法。我们展示了如何获得所有模型参数,并首次使用当前市场报价校准多曲线Libor市场模型的示例。
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Libor Market Model with Stochastic Basis - Calibration Using OIS Yield and Money Market Basis Spreads
Usually a Libor Market model with a stochastic basis as speci ed for instance by Mercurio, F. (2009) lacks of a suitable calibration since there are not enough market quotes available. To this end we suggest to take a low parametric model which essentially is calibrated to the current OIS curve. Then, for the forwards we use a Libor Market model for which enough quoted instruments such as caps, swaptions, CMS or CMS spread options are available. The dependency of the OIS curve and the Libor model is given by the money market basis spread.The idea for taking a low factor model for the OIS dynamic is presented in Mercurio, F. and Xie, Z. (2012). But they also propose to use a low factor model for the forwards. In this note we combine a low factor dynamic for the OIS zero coupon bonds with the framework presented in Mercurio, F. (2009) for a multi-curve Libor Market model by a somewhat di erent modelling approach.We show how to obtain all model parameters and for the rst time an example of a calibration of a multi-curve Libor Market model using the current market quotes.
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