离散时间多因素vasi ek模型的一致性重新校准

Philipp Harms, David Stefanovits, J. Teichmann, Mario V. Wuthrich
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引用次数: 4

摘要

离散时间多因素Vasicek模型是一个可处理的高斯点速率模型。通常,两个或三个因素的版本允许人们以适当的方式捕捉不同到期日收益率之间的依赖结构。在实践中,根据现行市场条件重新校准模型会导致模型参数随时间而变化。因此,模型参数应理解为是随时间变化的,甚至是随机的。根据一致性重新校准(CRC)方法,我们将不同参数的Hull-White扩展多因素Vasicek模型的收益率曲线增量进行串联。CRC方法提供了保持无套利前提的有吸引力的可处理模型。作为数值例子,我们使用CRC多因素Vasicek模型拟合瑞士利率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Consistent Re-Calibration of the Discrete-Time Multifactor Vasiček Model
The discrete-time multifactor Vasicek model is a tractable Gaussian spot rate model. Typically, two- or three-factor versions allow one to capture the dependence structure between yields with different times to maturity in an appropriate way. In practice, re-calibration of the model to the prevailing market conditions leads to model parameters that change over time. Therefore, the model parameters should be understood as being time-dependent or even stochastic. Following the consistent re-calibration (CRC) approach, we construct models as concatenations of yield curve increments of Hull–White extended multifactor Vasicek models with different parameters. The CRC approach provides attractive tractable models that preserve the no-arbitrage premise. As a numerical example, we fit Swiss interest rates using CRC multifactor Vasicek models.
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