Forecast Exchange Rate with Box Jenkins Model: An Empirical Study

Box and Jenkins (1970) introduced a family of linear stochastic models that are now referred as Box-Jenkins or ARIMA model. This paper practices the Box-Jenkins’ methodology, obtains the ARIMA models with British pound/U.S. dollar exchange rates. A comparison is given between forecast performance of...

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Main Author: Zheng, Jingwen
Format: Dissertation (University of Nottingham only)
Language:English
Published: 2012
Subjects:
Online Access:https://eprints.nottingham.ac.uk/25759/
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author Zheng, Jingwen
author_facet Zheng, Jingwen
author_sort Zheng, Jingwen
building Nottingham Research Data Repository
collection Online Access
description Box and Jenkins (1970) introduced a family of linear stochastic models that are now referred as Box-Jenkins or ARIMA model. This paper practices the Box-Jenkins’ methodology, obtains the ARIMA models with British pound/U.S. dollar exchange rates. A comparison is given between forecast performance of ARIMA models and the random walk model. The result suggests that the random walk model is superior to any of ARIMA models with the given data. Random walk is still the best technique method for exchange rate forecast since Meese and Rogoff (1983). GBP/USD exchange rate market efficiency holds.
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format Dissertation (University of Nottingham only)
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institution University of Nottingham Malaysia Campus
institution_category Local University
language English
last_indexed 2025-11-14T18:54:06Z
publishDate 2012
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spelling nottingham-257592017-10-19T13:04:57Z https://eprints.nottingham.ac.uk/25759/ Forecast Exchange Rate with Box Jenkins Model: An Empirical Study Zheng, Jingwen Box and Jenkins (1970) introduced a family of linear stochastic models that are now referred as Box-Jenkins or ARIMA model. This paper practices the Box-Jenkins’ methodology, obtains the ARIMA models with British pound/U.S. dollar exchange rates. A comparison is given between forecast performance of ARIMA models and the random walk model. The result suggests that the random walk model is superior to any of ARIMA models with the given data. Random walk is still the best technique method for exchange rate forecast since Meese and Rogoff (1983). GBP/USD exchange rate market efficiency holds. 2012-09-18 Dissertation (University of Nottingham only) NonPeerReviewed application/pdf en https://eprints.nottingham.ac.uk/25759/1/Forecast-Exchange-Rate-with-Box-Jenkins_model-A-Empirical-Study-re.pdf Zheng, Jingwen (2012) Forecast Exchange Rate with Box Jenkins Model: An Empirical Study. [Dissertation (University of Nottingham only)] (Unpublished) exchange rate forecast Box-Jenkins’ methodology ARIMA random walk market efficiency hypothesis
spellingShingle exchange rate
forecast
Box-Jenkins’ methodology
ARIMA
random walk
market efficiency hypothesis
Zheng, Jingwen
Forecast Exchange Rate with Box Jenkins Model: An Empirical Study
title Forecast Exchange Rate with Box Jenkins Model: An Empirical Study
title_full Forecast Exchange Rate with Box Jenkins Model: An Empirical Study
title_fullStr Forecast Exchange Rate with Box Jenkins Model: An Empirical Study
title_full_unstemmed Forecast Exchange Rate with Box Jenkins Model: An Empirical Study
title_short Forecast Exchange Rate with Box Jenkins Model: An Empirical Study
title_sort forecast exchange rate with box jenkins model: an empirical study
topic exchange rate
forecast
Box-Jenkins’ methodology
ARIMA
random walk
market efficiency hypothesis
url https://eprints.nottingham.ac.uk/25759/