Zero-coupon interest rates: Evaluating three alternative datasets
Antonio Díaz,
Francisco Jareño and
Eliseo Navarro
Economic Research-Ekonomska Istraživanja, 2019, vol. 32, issue 1, 3987-4014
Abstract:
The zero-coupon yield curve is a common input for most financial purposes. We consider three popular yield curve datasets and explore the extent to which the decision as to what dataset to use for a particular application may have an impact on the results. Many term structure papers evaluate alternative models for estimating zero coupon bonds based on their ability to replicate bond prices. However, in this paper we take a step forward by analyzing the consequences of using these alternative datasets in estimates of other moments and variables such as interest rate volatilities or the resulting forward rates and their correlations. After finding significant differences, we also explore the existence of volatility spillover effects among these three datasets. Finally, we illustrate the relevance of the choice of one particular dataset by examining the differences that may arise when testing the expectations hypothesis. In the conclusions, we provide guidance to end users in selecting a particular dataset.
Date: 2019
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/1331677X.2019.1670713 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:reroxx:v:32:y:2019:i:1:p:3987-4014
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/rero20
DOI: 10.1080/1331677X.2019.1670713
Access Statistics for this article
Economic Research-Ekonomska Istraživanja is currently edited by Marinko Skare
More articles in Economic Research-Ekonomska Istraživanja from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().