The out-of-sample forecasting performance of variable parameter exchange rate models in South Africa

In this article the out-of-sample forecasting performance of exchange rate determination is examined without imposing the restriction that coefficients are fixed over time. Both fixed and variable coefficient versions of conventional structural models are considered, with and without a lagged depend...

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Main Author: Gilbert Wesso
Format: Article
Language:English
Published: AOSIS 1995-06-01
Series:South African Journal of Business Management
Online Access:https://sajbm.org/index.php/sajbm/article/view/825
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spelling doaj-e31b3bcfc0b146098de8c68d632bab732021-02-02T01:43:29ZengAOSISSouth African Journal of Business Management2078-55852078-59761995-06-01262647110.4102/sajbm.v26i2.825544The out-of-sample forecasting performance of variable parameter exchange rate models in South AfricaGilbert Wesso0Department of Statistics, University of the Western CapeIn this article the out-of-sample forecasting performance of exchange rate determination is examined without imposing the restriction that coefficients are fixed over time. Both fixed and variable coefficient versions of conventional structural models are considered, with and without a lagged dependent variable. A Variable Parameter Regression (VPR) technique based on recursive application of the Kalman filter is used to improve the predictive performance of a class oi monetary exchange rate models.https://sajbm.org/index.php/sajbm/article/view/825
collection DOAJ
language English
format Article
sources DOAJ
author Gilbert Wesso
spellingShingle Gilbert Wesso
The out-of-sample forecasting performance of variable parameter exchange rate models in South Africa
South African Journal of Business Management
author_facet Gilbert Wesso
author_sort Gilbert Wesso
title The out-of-sample forecasting performance of variable parameter exchange rate models in South Africa
title_short The out-of-sample forecasting performance of variable parameter exchange rate models in South Africa
title_full The out-of-sample forecasting performance of variable parameter exchange rate models in South Africa
title_fullStr The out-of-sample forecasting performance of variable parameter exchange rate models in South Africa
title_full_unstemmed The out-of-sample forecasting performance of variable parameter exchange rate models in South Africa
title_sort out-of-sample forecasting performance of variable parameter exchange rate models in south africa
publisher AOSIS
series South African Journal of Business Management
issn 2078-5585
2078-5976
publishDate 1995-06-01
description In this article the out-of-sample forecasting performance of exchange rate determination is examined without imposing the restriction that coefficients are fixed over time. Both fixed and variable coefficient versions of conventional structural models are considered, with and without a lagged dependent variable. A Variable Parameter Regression (VPR) technique based on recursive application of the Kalman filter is used to improve the predictive performance of a class oi monetary exchange rate models.
url https://sajbm.org/index.php/sajbm/article/view/825
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