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Yield Curve Estimation by Kernel Smoothing Methods

  • Oliver B. Linton

    (London School of Economics)

  • Enno Mammen

    (Ruprecht-Karls Universitat Heidelberg)

  • J. Nielsen


  • Carsten Tanggaard

    (Aarhus School of Business)

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.

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Paper provided by Econometric Society in its series Econometric Society World Congress 2000 Contributed Papers with number 0235.

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Date of creation: 01 Aug 2000
Date of revision:
Handle: RePEc:ecm:wc2000:0235
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  12. Amihud, Yakov & Mendelson, Haim, 1991. " Liquidity, Maturity, and the Yields on U.S. Treasury Securities," Journal of Finance, American Finance Association, vol. 46(4), pages 1411-25, September.
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  17. Dahlquist, Magnus & Svensson, Lars E O, 1996. " Estimating the Term Structure of Interest Rates for Monetary Policy Analysis," Scandinavian Journal of Economics, Wiley Blackwell, vol. 98(2), pages 163-83, June.
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  28. Engsted, Tom & Tanggaard, Carsten, 1995. " The Predictive Power of Yield Spreads for Future Interest Rates: Evidence from the Danish Term Structure," Scandinavian Journal of Economics, Wiley Blackwell, vol. 97(1), pages 145-59, March.
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