Markov switching models for time series data with dramatic jumps

In this research, the Markov switching autoregressive (MS-AR) model and six different time series modeling approaches are considered. These models are compared according to their performance for capturing the Iranian exchange rate series. The series has dramatic jump in early 2002 which coincides wi...

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Main Authors: Masoud Yarmohammadi, Hamidreza Mostafaei, Maryam Safaei
Format: Article
Language:English
Published: Universiti Kebangsaan Malaysia 2012
Online Access:http://journalarticle.ukm.my/3592/
http://journalarticle.ukm.my/3592/1/15%2520Masoud.pdf
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author Masoud Yarmohammadi,
Hamidreza Mostafaei,
Maryam Safaei,
author_facet Masoud Yarmohammadi,
Hamidreza Mostafaei,
Maryam Safaei,
author_sort Masoud Yarmohammadi,
building UKM Institutional Repository
collection Online Access
description In this research, the Markov switching autoregressive (MS-AR) model and six different time series modeling approaches are considered. These models are compared according to their performance for capturing the Iranian exchange rate series. The series has dramatic jump in early 2002 which coincides with the change in policy of the exchange rate regime. Our criteria are based on the AIC and BIC values. The results indicate that the MS-AR model can be considered as useful model, with the best fit, to evaluate the behaviors of Iran’s exchange rate
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institution Universiti Kebangasaan Malaysia
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publishDate 2012
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spelling oai:generic.eprints.org:35922016-12-14T06:34:53Z http://journalarticle.ukm.my/3592/ Markov switching models for time series data with dramatic jumps Masoud Yarmohammadi, Hamidreza Mostafaei, Maryam Safaei, In this research, the Markov switching autoregressive (MS-AR) model and six different time series modeling approaches are considered. These models are compared according to their performance for capturing the Iranian exchange rate series. The series has dramatic jump in early 2002 which coincides with the change in policy of the exchange rate regime. Our criteria are based on the AIC and BIC values. The results indicate that the MS-AR model can be considered as useful model, with the best fit, to evaluate the behaviors of Iran’s exchange rate Universiti Kebangsaan Malaysia 2012-03 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/3592/1/15%2520Masoud.pdf Masoud Yarmohammadi, and Hamidreza Mostafaei, and Maryam Safaei, (2012) Markov switching models for time series data with dramatic jumps. Sains Malaysiana, 41 (3). pp. 371-377. ISSN 0126-6039 http://www.ukm.my/jsm/contents.html
spellingShingle Masoud Yarmohammadi,
Hamidreza Mostafaei,
Maryam Safaei,
Markov switching models for time series data with dramatic jumps
title Markov switching models for time series data with dramatic jumps
title_full Markov switching models for time series data with dramatic jumps
title_fullStr Markov switching models for time series data with dramatic jumps
title_full_unstemmed Markov switching models for time series data with dramatic jumps
title_short Markov switching models for time series data with dramatic jumps
title_sort markov switching models for time series data with dramatic jumps
url http://journalarticle.ukm.my/3592/
http://journalarticle.ukm.my/3592/
http://journalarticle.ukm.my/3592/1/15%2520Masoud.pdf