Nelson和Siegel一类收益率曲线模型的理论基础

Leo Krippner
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引用次数: 42

摘要

本文确立了流行的Nelson和Siegel(1987,以下简称NS)类中的大多数收益率曲线模型可以作为Dai和Singleton(2002)中概述的通用高斯仿射期限结构模型的动态分量的正式泰勒近似来获得。这一基本理论基础为NS模型的用户提供了保证,即它们符合一套广为接受的原则和假设,用于为收益率曲线及其动态建模。事实上,无套利的NS模型将简洁而可靠地表示任何高斯仿射期限结构模型生成的数据,而不管其潜在因素和规格的真实数量,甚至非无套利的NS模型也将充分捕捉状态变量的动态。结合应用NS模型已确立的实际效益,理论基础为将NS模型作为经济和金融领域收益率曲线建模和分析的标准工具提供了令人信服的案例。作为说明,本文开发了一个无套利的双因素NS模型,并将其应用于测试美国收益率曲线动态的变化。结果证实了Rudebusch和Wu(2007)基于一个潜在的双因素本质上仿仿的期限结构模型的结论:1988年之前的样本和1988年之后的样本之间的收益率曲线行为发生了实质性变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Theoretical Foundation for the Nelson and Siegel Class of Yield Curve Models
This article establishes that most yield curve models within the popular Nelson and Siegel (1987, hereafter NS) class may be obtained as a formal Taylor approximation to the dynamic component of the generic Gaussian affine term structure model outlined in Dai and Singleton (2002). That fundamental theoretical foundation provides an assurance to users of NS models that they correspond to a well-accepted set of principles and assumptions for modeling the yield curve and its dynamics. Indeed, arbitrage-free NS models will parsimoniously and reliably represent the data generated by any Gaussian affine term structure model regardless of its true number of underlying factors and specification, and even non-arbitrage-free NS models will adequately capture the dynamics of the state variables. Combined with the well-established practical benefits of applying NS models, the theoretical foundation provides a compelling case for applying NS models as standard tools for yield curve modeling and analysis in economics and finance. As an illustration, this article develops a two-factor arbitrage-free NS model and applies it to testing for changes in United States yield curve dynamics. The results confirm those of Rudebusch and Wu (2007) based on a latent two-factor essentially affine term structure model: there was a material change in the behavior of the yield curve between the sample prior to 1988 and the sample from 1988 onwards.
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