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On the robustness of short–term interest rate models

On the robustness of short–term interest rate models This paper investigates the robustness of a range of short–term interest rate models. We examine the robustness of these models over different data sets, time periods, sampling frequencies, and estimation techniques. We examine a range of popular one–factor models that allow the conditional mean (drift) and conditional variance (diffusion) to be functions of the current short rate. We find that parameter estimates are highly sensitive to all of these factors in the eight countries that we examine. Since parameter estimates are not robust, these models should be used with caution in practice. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Accounting & Finance Wiley

On the robustness of short–term interest rate models

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References (6)

Publisher
Wiley
Copyright
The Accounting Association of Australia and New Zealand, 2003
ISSN
0810-5391
eISSN
1467-629X
DOI
10.1111/1467-629X.00084
Publisher site
See Article on Publisher Site

Abstract

This paper investigates the robustness of a range of short–term interest rate models. We examine the robustness of these models over different data sets, time periods, sampling frequencies, and estimation techniques. We examine a range of popular one–factor models that allow the conditional mean (drift) and conditional variance (diffusion) to be functions of the current short rate. We find that parameter estimates are highly sensitive to all of these factors in the eight countries that we examine. Since parameter estimates are not robust, these models should be used with caution in practice.

Journal

Accounting & FinanceWiley

Published: Mar 1, 2003

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