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Modelling East Asian exchange rates: a Markov-switching approach

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  • Guglielmo Maria Caporale
  • Nicola Spagnolo

Abstract

This paper compares the ability of nonlinear and standard linear models to capture the dynamics of foreign exchanges rates in the presence of structural breaks. The analysis is conducted for three East Asian countries, namely Indonesia, South Korea and Thailand. It is shown that a Markov regime-switching model with shifts in the mean and variance (rather than a STAR model) is well suited to capture the nonlinearities in exchange rates. Such a model is found to outperform a random walk specification in terms of both in-sample fitting and out-of-sample forecasting. In order to evaluate competing forecasts, accuracy measures based on both the forecast errors and the variance forecast are used.

Suggested Citation

  • Guglielmo Maria Caporale & Nicola Spagnolo, 2004. "Modelling East Asian exchange rates: a Markov-switching approach," Applied Financial Economics, Taylor & Francis Journals, vol. 14(4), pages 233-242.
    • Handle: RePEc:taf:apfiec:v:14:y:2004:i:4:p:233-242
    DOI: 10.1080/0960310042000201192
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    Cited by:

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    2. Chih-Nan Chen & Chien-Hsiu Lin, 2022. "Optimal carry trade portfolio choice under regime shifts," Review of Quantitative Finance and Accounting, Springer, vol. 59(2), pages 483-506, August.
    3. Wali, Muammer & Chan, Felix & Manzur, Meher, 2017. "Nonlinear dependence in exchange rate returns: How do emerging Asian currencies compare with major currencies?," Journal of Asian Economics, Elsevier, vol. 50(C), pages 62-72.
    4. Konstantinos N. Konstantakis & Ioannis G. Melissaropoulos & Theodoros Daglis & Panayotis G. Michaelides, 2023. "The euro to dollar exchange rate in the Covid‐19 era: Evidence from spectral causality and Markov‐switching estimation," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 2037-2055, April.
    5. Firat Melih Yilmaz & Ozer Arabaci, 2021. "Should Deep Learning Models be in High Demand, or Should They Simply be a Very Hot Topic? A Comprehensive Study for Exchange Rate Forecasting," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 217-245, January.
    6. Suman Das & Saikat Sinha Roy, 2021. "Predicting regime switching in BRICS currency volatility: a Markov switching autoregressive approach," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 48(2), pages 165-180, June.
    7. Oscar Claveria & Enric Monte & Petar Soric & Salvador Torra, 2022. ""An application of deep learning for exchange rate forecasting"," IREA Working Papers 202201, University of Barcelona, Research Institute of Applied Economics, revised Jan 2022.
    8. Diteboho Xaba & Ntebogang Dinah Moroke & Ishmael Rapoo, 2019. "Modeling Stock Market Returns of BRICS with a Markov-Switching Dynamic Regression Model," Journal of Economics and Behavioral Studies, AMH International, vol. 11(3), pages 10-22.
    9. Guglielmo Maria Caporale & Faek Menla Ali & Fabio Spagnolo & Nicola Spagnolo, 2015. "International Portfolio Flows and Exchange Rate Volatility for Emerging Markets," Discussion Papers of DIW Berlin 1519, DIW Berlin, German Institute for Economic Research.
    10. Yucel, Eray, 2011. "A Review and Bibliography of Early Warning Models," MPRA Paper 32893, University Library of Munich, Germany.
    11. Alexandros Pasiouras & Theodoros Daglis, 2020. "The Dollar Exchange Rates in the Covid-19 Era: Evidence from 5 Currencies," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 2), pages 352-361.
    12. S. Anoop Kumar & B. Kamaiah, 2014. "On Chaotic Nature of the Emerging European Forex Markets," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 17(53), pages 25-40, September.
    13. Claudio Bonilla & Rafael Romero-Meza & Melvin Hinich, 2006. "Episodic nonlinearity in Latin American stock market indices," Applied Economics Letters, Taylor & Francis Journals, vol. 13(3), pages 195-199.
    14. Chien-Hsiu Lin & Shih-Kuei Lin & An-Chi Wu, 2015. "Foreign exchange option pricing in the currency cycle with jump risks," Review of Quantitative Finance and Accounting, Springer, vol. 44(4), pages 755-789, May.
    15. Bellalah, Mondher & Masood, Omar & Thapa, Priya Darshini Pun & Levyne, Olivier & Triki, Rabeb, 2012. "Economic forces and stock exchange prices: pre and post impacts of global financial recession of 2008," MPRA Paper 50942, University Library of Munich, Germany.
    16. Christian Dunis & Jia Miao, 2007. "Trading foreign exchange portfolios with volatility filters: the carry model revisited," Applied Financial Economics, Taylor & Francis Journals, vol. 17(3), pages 249-255.

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