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 t...

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Bibliographic Details
Main Authors: Hamidreza Mostafaei (Author), Maryam Safaei (Author)
Format: Article
Language:English
Published: Universiti Kebangsaan Malaysia, 2012-04.
Online Access:Get fulltext
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100 1 0 |a Hamidreza Mostafaei,   |e author 
700 1 0 |a Maryam Safaei,   |e author 
245 0 0 |a Point forecast markov switching model for U.S. Dollar/ Euro exchange rate 
260 |b Universiti Kebangsaan Malaysia,   |c 2012-04. 
856 |z Get fulltext  |u http://journalarticle.ukm.my/3939/1/14%2520Hamidreza.pdf 
520 |a 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. 
546 |a en