{"title":"Long-term Yields Implied by Stochastic Discount Factor Decompositions","authors":"Caio Almeida, F. Cordeiro","doi":"10.12660/bre.v39n12019.76365","DOIUrl":null,"url":null,"abstract":"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).","PeriodicalId":332423,"journal":{"name":"Brazilian Review of Econometrics","volume":"74 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Brazilian Review of Econometrics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12660/bre.v39n12019.76365","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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).
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。