Estimates of the US Shadow-Rate

Rodrigo Alfaro, Marco Piña
{"title":"Estimates of the US Shadow-Rate","authors":"Rodrigo Alfaro,&nbsp;Marco Piña","doi":"10.1016/j.latcb.2022.100080","DOIUrl":null,"url":null,"abstract":"<div><p>This article provides several estimates for the shadow rate (SR) of the short-term interest rate in US. We assume maximal models with two and three Gaussian factors, and we use forward rates to estimate the model’s parameters. Based on that, we conclude that point estimates of SR should be taken with caution because they depend on the characteristics of the data set, including the sample size, maturities, and smoothness. The latter is even more crucial than other settings discussed previously in the literature, such as the number of factors.</p></div>","PeriodicalId":100867,"journal":{"name":"Latin American Journal of Central Banking","volume":"4 1","pages":"Article 100080"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Latin American Journal of Central Banking","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666143822000345","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

This article provides several estimates for the shadow rate (SR) of the short-term interest rate in US. We assume maximal models with two and three Gaussian factors, and we use forward rates to estimate the model’s parameters. Based on that, we conclude that point estimates of SR should be taken with caution because they depend on the characteristics of the data set, including the sample size, maturities, and smoothness. The latter is even more crucial than other settings discussed previously in the literature, such as the number of factors.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
美国影子利率的估计
本文给出了美国短期利率影子利率(SR)的几种估计。我们假设具有两个和三个高斯因子的最大模型,并使用正向利率来估计模型的参数。基于此,我们得出结论,应谨慎对待SR的点估计,因为它们取决于数据集的特征,包括样本量、到期日和平滑度。后者甚至比之前在文献中讨论的其他设置更为关键,例如因素的数量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
1.70
自引率
0.00%
发文量
0
期刊最新文献
The loan puzzle in Mexico Brazilian economy in the 2000’s: A tale of two recessions The effect of financial inclusion on economic and social indicators in Mexico Mitigating policies for pollutant emissions in a DSGE for the Brazilian economy Climate change and technology adoption with a large informal sector
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1