Estimating Yield Curves by Kernel Smoothing Methods

Oliver Linton, Enno Mammen, J. Nielsen and C. Tanggaard
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C. Tanggaard: The Aarhus School of Business

No 1205, Cowles Foundation Discussion Papers from Cowles Foundation for Research in Economics, Yale University

Abstract: We introduce a new method for the estimation of discount functions, yield curves and forward curves for 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 important 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.

Keywords: Coupon bonds; forward curve; Hilbert space; local linear; nonparametric regression; yield curve (search for similar items in EconPapers)
Pages: 50 pages
Date: 1998-12
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Citations: View citations in EconPapers (1)

Published in Journal of Econometrics (2000), 105(1): 185-223

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Working Paper: Estimating yield curves by Kernel smoothing methods (1998)
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