Error correction modelling and dynamic specifications as a conduit to outperforming the random walk in exchange rate forecasting

The proposition that dynamic exchange rate models can outperform the random walk in out-of-sample forecasting, in the sense that they produce lower mean square errors, is examined and disputed. By using several dynamic versions of three macroeconomic exchange rate models, it is demonstrated that dyn...

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Main Authors: Moosa, I., Burns, Kelly
Format: Journal Article
Published: Routledge 2014
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/7264
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author Moosa, I.
Burns, Kelly
author_facet Moosa, I.
Burns, Kelly
author_sort Moosa, I.
building Curtin Institutional Repository
collection Online Access
description The proposition that dynamic exchange rate models can outperform the random walk in out-of-sample forecasting, in the sense that they produce lower mean square errors, is examined and disputed. By using several dynamic versions of three macroeconomic exchange rate models, it is demonstrated that dynamic specifications outperform the corresponding static models but improvement in the forecasting power may not be sufficient for the dynamic models to perform better than the random walk. The results are explained by suggesting that any dynamic specification or transformation of the static model leads to the introduction of a lagged dependent variable, which in effect is a random walk component. The analysis leads to the conclusion that it is implausible to aim at beating the random walk by augmenting a static model with a random walk component.
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spelling curtin-20.500.11937-72642017-09-13T16:06:26Z Error correction modelling and dynamic specifications as a conduit to outperforming the random walk in exchange rate forecasting Moosa, I. Burns, Kelly random walk error correction models forecasting exchange rate models The proposition that dynamic exchange rate models can outperform the random walk in out-of-sample forecasting, in the sense that they produce lower mean square errors, is examined and disputed. By using several dynamic versions of three macroeconomic exchange rate models, it is demonstrated that dynamic specifications outperform the corresponding static models but improvement in the forecasting power may not be sufficient for the dynamic models to perform better than the random walk. The results are explained by suggesting that any dynamic specification or transformation of the static model leads to the introduction of a lagged dependent variable, which in effect is a random walk component. The analysis leads to the conclusion that it is implausible to aim at beating the random walk by augmenting a static model with a random walk component. 2014 Journal Article http://hdl.handle.net/20.500.11937/7264 10.1080/00036846.2014.922675 Routledge restricted
spellingShingle random walk
error correction models
forecasting
exchange rate models
Moosa, I.
Burns, Kelly
Error correction modelling and dynamic specifications as a conduit to outperforming the random walk in exchange rate forecasting
title Error correction modelling and dynamic specifications as a conduit to outperforming the random walk in exchange rate forecasting
title_full Error correction modelling and dynamic specifications as a conduit to outperforming the random walk in exchange rate forecasting
title_fullStr Error correction modelling and dynamic specifications as a conduit to outperforming the random walk in exchange rate forecasting
title_full_unstemmed Error correction modelling and dynamic specifications as a conduit to outperforming the random walk in exchange rate forecasting
title_short Error correction modelling and dynamic specifications as a conduit to outperforming the random walk in exchange rate forecasting
title_sort error correction modelling and dynamic specifications as a conduit to outperforming the random walk in exchange rate forecasting
topic random walk
error correction models
forecasting
exchange rate models
url http://hdl.handle.net/20.500.11937/7264