Estimating Ultra Long-Term Interest Rates with Raise Regression
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...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2026 |
| País: | España |
| Institución: | Universidad Nacional de Educación a Distancia |
| Repositorio: | e-spacio. Repositorio Institucional de la UNED |
| Idioma: | inglés |
| OAI Identifier: | oai:e-spacio.uned.es:20.500.14468/31525 |
| Acceso en línea: | https://hdl.handle.net/20.500.14468/31525 |
| Access Level: | acceso embargado |
| Palabra clave: | 53 Ciencias Económicas Nelson-Siegel model Nelson-Siegel-Svensson model multicollinearity problem ridge regression raise regression |
| Sumario: | 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. |
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