Empirical analysis of term structure shifts
Joel R. Barber ()
Additional contact information
Joel R. Barber: Florida International University
Journal of Economics and Finance, 2021, vol. 45, issue 2, No 8, 360-371
Abstract:
Abstract Principal component analysis and factor analysis of term structure movements shows that between 80 and 90% of term structure shifts can be explained by a uniform shift that is roughly parallel. In contrast, our analysis of term structure data from 1986 to 2016 reveals that only 57% of the shifts have been uniform. Twist- and butterfly-type shifts accounted for 28 and 10%, respectively, of all shifts. Remarkably, these frequency results are roughly the same for uniform and twist shifts determined on a daily, weekly, and monthly basis over the entire sample and over three subperiods. Based on historical data, an investor should expect a uniform shift in the term structure about 57% and a twist 28% of the time.
Keywords: Term structure shift; Spot rates; Principal component analysis (search for similar items in EconPapers)
JEL-codes: G12 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s12197-020-09521-9 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
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:spr:jecfin:v:45:y:2021:i:2:d:10.1007_s12197-020-09521-9
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/12197/PS2
DOI: 10.1007/s12197-020-09521-9
Access Statistics for this article
Journal of Economics and Finance is currently edited by James Payne
More articles in Journal of Economics and Finance from Springer, Academy of Economics and Finance Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().