A Three-State Markov-Modulated Switching Model for Exchange Rates

Author

Ayodeji, Idowu Oluwasayo

Source

Journal of Applied Mathematics

Issue

Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2016-10-31

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Mathematics

Abstract EN

Several authors have examined the long swings hypothesis in exchange rates using a two-state Markov switching model.

This study developed a model to investigate long swings hypothesis in currencies which may exhibit a k-state (k≥2) pattern.

The proposed model was then applied to euros, British pounds, Japanese yen, and Nigerian naira.

Specification measures such as AIC, BIC, and HIC favoured a three-state pattern in Nigerian naira but a two-state one in the other three currencies.

For the period January 2004 to May 2016, empirical results suggested the presence of asymmetric swings in naira and yen and long swings in euros and pounds.

In addition, taking 0.5 as the benchmark for smoothing probabilities, choice models provided a clear reading of the cycle in a manner that is consistent with the realities of the movements in corresponding exchange rate series.

American Psychological Association (APA)

Ayodeji, Idowu Oluwasayo. 2016. A Three-State Markov-Modulated Switching Model for Exchange Rates. Journal of Applied Mathematics،Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1107209

Modern Language Association (MLA)

Ayodeji, Idowu Oluwasayo. A Three-State Markov-Modulated Switching Model for Exchange Rates. Journal of Applied Mathematics No. 2016 (2016), pp.1-9.
https://search.emarefa.net/detail/BIM-1107209

American Medical Association (AMA)

Ayodeji, Idowu Oluwasayo. A Three-State Markov-Modulated Switching Model for Exchange Rates. Journal of Applied Mathematics. 2016. Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1107209

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1107209