随机折现因子分解所隐含的长期收益率

Caio Almeida, F. Cordeiro
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引用次数: 0

摘要

我们使用Christensen(2017)和Hansen and Scheinkman(2009)开发的框架来研究美国和巴西的长期利率。我们将非参数估计器应用于美国和巴西的数据,以确定长期零息债券的收益率如何响应经济的初始状态。在状态过程中使用灵活的规范会导致yield对初始状态变化的有趣的非线性响应。作为我们工作的副产品,我们使用基于两种广泛采用的资产定价模型(罕见灾害和习惯形成)的蒙特卡罗模拟来评估Christensen估计器的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Long-term Yields Implied by Stochastic Discount Factor Decompositions
We use the framework developed by Christensen (2017) and Hansen and Scheinkman (2009) to study the long-term interest rates in the US and Brazil. We apply a nonparametric estimator to US and Brazilian data to identify how the yield of a long-term zero-coupon bond responds to the initial state of the economy. Using a flexible specification for the state process leads to an interesting non-linear response of the yield to changes in the initial state. As a by-product of our work, we assess the performance of Christensen's estimator using Monte Carlo simulations based on two widely adopted asset pricing models (rare disasters and habit formation).
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