Point forecast markov switching model for U.S. Dollar/ Euro exchange rate

This research proposes a point forecasting method into Markov switching autoregressive model. In case of two regimes, we proved the probability that h periods later process will be in regime 1 or 2 is given by steady-state probabilities. Then, using the value of h-step-ahead forecast data at time...

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Main Authors: Hamidreza Mostafaei, Maryam Safaei
Format: Article
Language:English
Published: Universiti Kebangsaan Malaysia 2012
Online Access:http://journalarticle.ukm.my/3939/1/14%2520Hamidreza.pdf
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author Hamidreza Mostafaei,
Maryam Safaei,
author_facet Hamidreza Mostafaei,
Maryam Safaei,
author_sort Hamidreza Mostafaei,
collection UKM
description This research proposes a point forecasting method into Markov switching autoregressive model. In case of two regimes, we proved the probability that h periods later process will be in regime 1 or 2 is given by steady-state probabilities. Then, using the value of h-step-ahead forecast data at time t in each regime and using steady-state probabilities, we present an h-step-ahead point forecast of data. An empirical application of this forecasting technique for U.S. Dollar/ Euro exchange rate showed that Markov switching autoregressive model achieved superior forecasts relative to the random walk with drift. The results of out-of-sample forecast indicate that the fluctuations of U.S. Dollar/ Euro exchange rate from May 2011 to May 2013 will be rising.
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spelling ukm.eprints-39392016-12-14T06:35:22Z http://journalarticle.ukm.my/3939/ Point forecast markov switching model for U.S. Dollar/ Euro exchange rate Hamidreza Mostafaei, Maryam Safaei, This research proposes a point forecasting method into Markov switching autoregressive model. In case of two regimes, we proved the probability that h periods later process will be in regime 1 or 2 is given by steady-state probabilities. Then, using the value of h-step-ahead forecast data at time t in each regime and using steady-state probabilities, we present an h-step-ahead point forecast of data. An empirical application of this forecasting technique for U.S. Dollar/ Euro exchange rate showed that Markov switching autoregressive model achieved superior forecasts relative to the random walk with drift. The results of out-of-sample forecast indicate that the fluctuations of U.S. Dollar/ Euro exchange rate from May 2011 to May 2013 will be rising. Universiti Kebangsaan Malaysia 2012-04 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/3939/1/14%2520Hamidreza.pdf Hamidreza Mostafaei, and Maryam Safaei, (2012) Point forecast markov switching model for U.S. Dollar/ Euro exchange rate. Sains Malaysiana, 41 (4). pp. 481-488. ISSN 0126-6039 http://www.ukm.my/jsm
spellingShingle Hamidreza Mostafaei,
Maryam Safaei,
Point forecast markov switching model for U.S. Dollar/ Euro exchange rate
title Point forecast markov switching model for U.S. Dollar/ Euro exchange rate
title_full Point forecast markov switching model for U.S. Dollar/ Euro exchange rate
title_fullStr Point forecast markov switching model for U.S. Dollar/ Euro exchange rate
title_full_unstemmed Point forecast markov switching model for U.S. Dollar/ Euro exchange rate
title_short Point forecast markov switching model for U.S. Dollar/ Euro exchange rate
title_sort point forecast markov switching model for u s dollar euro exchange rate
url http://journalarticle.ukm.my/3939/1/14%2520Hamidreza.pdf
work_keys_str_mv AT hamidrezamostafaei pointforecastmarkovswitchingmodelforusdollareuroexchangerate
AT maryamsafaei pointforecastmarkovswitchingmodelforusdollareuroexchangerate