The Yield Curve: A Methodological Review and New Approximations for Estimation
Cuadernos de Economía, Vol. 27, No. 48, 2008
44 Pages Posted: 27 Aug 2008
Date Written: August 26, 2008
Abstract
The yield curve is a tool widely used by those who make monetary policy decisions or plan their investments according to valuation, negotiation, or coverage on financial instruments. Because of its importance, our interest is focused on evaluating the performance of a set of econometric models for adjustments in the term structure of interest rates (in the context of the public debt market bond rates in Colombia and United States) and on the possible forms that the yield curves can take. The results reveal the goodness-of-fit of the artificial neural networks (ANN), the Svensson curve, the Nelson-Siegel curve, and local polynomials. Nevertheless, we strongly recommended the use the Svensson curve in the estimation of interest rates, due to the interpretability of its parameters and its superiority over the Nelson-Siegel Curve.
Note: Downloadable document is in Spanish.
Keywords: yield curves, Nelson-Siegel, Svensson, Kernel regression, smooth splines, local polynomials, Friedmann supersmoother, trigonometric polynomials, artificial neuronal networks
JEL Classification: C29, C51, C45, C53
Suggested Citation: Suggested Citation
Do you have a job opening that you would like to promote on SSRN?
Recommended Papers
-
Yield Spreads and Interest Rate Movements: A Bird's Eye View
-
Parsimoneous Modeling of Yield Curves for U.S. Treasury Bills
-
Estimating and Interpreting Forward Interest Rates: Sweden 1992 - 1994
-
Estimating and Interpreting Forward Interest Rates: Sweden 1992-1994
-
The Changing Behavior of the Term Structure of Interest Rates
-
Do We Reject Too Often? Small Sample Properties of Tests of Rational Expectations Models
-
Drawing Inferences from Statistics Based on Multi-Year Asset Returns