Estimating ultra long-term interest rates with raise regression

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Authors: Ainara Rodríguez Sánchez, Hairui Zhang, Marc J.K. De Ceuster, Jan Annaert
Cited by: 0
References: 26

Abstract

Abstract Accurate estimation of ultra-long-term interest rates is essential for financial regulators, life insurance companies, and pension funds. The Nelson-Siegel model and its extension, the Svensson model, are widely used thanks to their parsimony and rich economic intuition. The level parameter in both models is a direct indicator of ultra-long-term rates. However, these models are subject to high nonlinearity when estimated as nonlinear models, or multicollinearity when estimated as linear models. As a result, estimated interest rates can be unstable, which undermines their practical use. In this paper, we employ raise regression to alleviate the estimation issue. Our results demonstrate superior accuracy compared to existing methods.

Fields of Study & Subjects

Stochastic processes and financial applications Monetary Policy and Economic Impact Financial Markets and Investment Strategies

Publication details

Journal / source
Journal of Economics and Finance
Volume
50
Issue
1
Publication date
16 January 2026
Language
EN