Yield Curve Estimation by Kernel Smoothing

C Taanggard, J Nielsen, Enno Mammen and Oliver Linton

FMG Discussion Papers from Financial Markets Group

Abstract: We introduce a new method for the estimation of discount functions, yield curves and forward curves from government issued coupon bonds. Our approach is nonparametric and does not assume a particular functional form for the discount function although we do show how to impose various restrictions in the estimation. Our method is based on kernel smoothing and is defined as the minimum of some localized population moment condition. The solution to the sample problem is not explicit and our estimation procedure is iterative, rather like the backfitting method of estimating additive nonparametric models. We establish the asymptotic normality of our methods using the asymptotic representation of our estimator as an infinite series with declining coefficients. The rate of convergence is standard for one dimensional nonparametric regression. We investigate the finite sample performance of our method, in comparison with other well-established methods, in a small simulation experiment.

Date: 2004-09
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.lse.ac.uk/fmg/workingPapers/discussionPapers/fmgdps/dp515.pdf (application/pdf)

Related works:
Working Paper: Yield curve estimation by kernel smoothing (2004)
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:fmg:fmgdps:dp515

Access Statistics for this paper

More papers in FMG Discussion Papers from Financial Markets Group
Bibliographic data for series maintained by The FMG Administration ().