具有参数不确定性的利率期限结构的外推

Anne G. Balter, A. Pelsser, P. Schotman
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引用次数: 0

摘要

极长期负债定价市场一贯处理长期金融工具流动性下降的问题。其目的是量化利率的不确定性,直至一个世纪的期限。我们假设利率遵循仿射均值回归Vasicek模型。我们通过贝叶斯分布对参数的不确定性进行建模。通过限制二元VAR(1)模型获得截面参数和时间序列参数。实证例子表明,由于均值回归行为接近单位根的累积效应,长期外推的置信度极低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Extrapolating the term structure of interest rates with parameter uncertainty
Pricing extremely long-dated liabilities market consistently deals with the decline in liquidity of financial instruments on long maturities. The aim is to quantify the uncertainty of rates up to maturities of a century. We assume that the interest rates follow the affine mean-reverting Vasicek model. We model parameter uncertainty by Bayesian distributions over the parameters. The cross-sectional and time series parameters are obtained via the restricted bivariate VAR(1) model. The empirical example shows extremely low confidence in long term extrapolations due to the accumulated effect of the mean-reversion`s behaviour close to the unit root.
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