## Abstract This paper explores the ability of factor models to predict the dynamics of US and UK interest rate swap spreads within a linear and a non‐linear framework. We reject linearity for the US and UK swap spreads in favour of a regime‐switching smooth transition vector autoregressive (STVAR)
Non-linear interest rate dynamics and forecasting: evidence for US and Australian interest rates
✍ Scribed by David G. McMillan
- Publisher
- John Wiley and Sons
- Year
- 2009
- Tongue
- English
- Weight
- 224 KB
- Volume
- 14
- Category
- Article
- ISSN
- 1076-9307
- DOI
- 10.1002/ijfe.358
No coin nor oath required. For personal study only.
✦ Synopsis
Abstract
Recent empirical finance research has suggested the potential for interest rate series to exhibit non‐linear adjustment to equilibrium. This paper examines a variety of models designed to capture these effects and compares both their in‐sample and out‐of‐sample performance with a linear alternative. Using short‐ and long‐term interest rates we report evidence that a logistic smooth‐transition error‐correction model is able to best characterize the data and provide superior out‐of‐sample forecasts, especially for the short rate, over both linear and non‐linear alternatives. This model suggests that market dynamics differ depending on whether the deviations from long‐run equilibrium are above or below the threshold value. Copyright © 2007 John Wiley & Sons, Ltd.
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