An Assessment of Estimates of Term Structure Models for the United States

Carlos Medeiros and Ying He

No 2011/247, IMF Working Papers from International Monetary Fund

Abstract: The paper assesses estimates of term structure models for the United States. To this end, this paper first describes the mathematics underlying two types of term structure models, namely the Nelson-Siegel and Cox, Ingersoll and Ross family of models, and the estimation techniques. It then presents estimations of some of specific models within these families of models?three-factor Nelson-Siegel Model, four-factor Svensson model, and preference-free, two-factor Cox, Ingersoll and Roll model?for the United States from 1972 to mid 2011. It subsequently provides an assessment of the estimations. It concludes that these estimations of the term structure models successfully capture the dynamics of the term structure in the United States.

Keywords: WP; Term structure models; term structure of interest rates; yield curves; yields on U.S. Treasury securities; Treasury security yield; CIR model; Svensson model; bond return; term structure; U.S Treasury; yield-macro NSMS; Treasury securities; Securities; Factor models; Bonds; Yield curve; Market risk; Global (search for similar items in EconPapers)
Pages: 31
Date: 2011-10-01
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.imf.org/external/pubs/cat/longres.aspx?sk=25312 (application/pdf)

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:imf:imfwpa:2011/247

Ordering information: This working paper can be ordered from
http://www.imf.org/external/pubs/pubs/ord_info.htm

Access Statistics for this paper

More papers in IMF Working Papers from International Monetary Fund International Monetary Fund, Washington, DC USA. Contact information at EDIRC.
Bibliographic data for series maintained by Akshay Modi ().