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Markov switching and exchange rate predictability

Citations

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Cited by:

  1. Oscar Claveria & Enric Monte & Petar Soric & Salvador Torra, 2022. "“An application of deep learning for exchange rate forecasting”," AQR Working Papers 202201, University of Barcelona, Regional Quantitative Analysis Group, revised Jan 2022.
  2. 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.
  3. Soon, Siew-Voon & Baharumshah, Ahmad Zubaidi, 2021. "Exchange rates and fundamentals: Further evidence based on asymmetric causality test," International Economics, Elsevier, vol. 165(C), pages 67-84.
  4. Mendy, David & Widodo, Tri, 2018. "Two Stage Markov Switching Model: Identifying the Indonesian Rupiah Per US Dollar Turning Points Post 1997 Financial Crisis," MPRA Paper 86728, University Library of Munich, Germany.
  5. Slim Chaouachi & Zied Ftiti & Frederic Teulon, 2014. "Explaining the Tunisian Real Exchange: Long Memory versus Structural Breaks," Working Papers 2014-147, Department of Research, Ipag Business School.
  6. Zied Ftiti & Slim Chaouachi, 2018. "What Can We Learn About the Real Exchange Rate Behavior in the Case of a Peripheral Country?," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 16(3), pages 681-707, September.
  7. Johanna Posch & Fabio Rumler, 2015. "Semi‐Structural Forecasting of UK Inflation Based on the Hybrid New Keynesian Phillips Curve," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 34(2), pages 145-162, March.
  8. Saldaña-Zepeda, Dayna P. & Velasco-Cruz, Ciro & Torres-Preciado, Víctor H., 2020. "Mexican peso-USD exchange rate: A switching linear dynamical model application," International Economics, Elsevier, vol. 162(C), pages 80-91.
  9. Abderrazak Ben Maatoug & Rim Lamouchi & Russell Davidson & Ibrahim Fatnassi, 2018. "Modelling Foreign Exchange Realized Volatility Using High Frequency Data: Long Memory versus Structural Breaks," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 10(1), pages 1-25, March.
  10. Tsai, Li-Ju & Shu, Pei-Gi & Chiang, Sue-Jane, 2019. "Foreign investors’ trading behavior and market conditions: Evidence from Taiwan," Journal of Multinational Financial Management, Elsevier, vol. 52.
  11. Ali Ben Mrad & Amine Lahiani & Salma Mefteh‐Wali & Nada Mselmi, 2025. "Forecasting Carbon Prices: What Is the Role of Technology?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 44(6), pages 1867-1883, September.
  12. Constandina Koki & Stefanos Leonardos & Georgios Piliouras, 2020. "Exploring the Predictability of Cryptocurrencies via Bayesian Hidden Markov Models," Papers 2011.03741, arXiv.org, revised Dec 2020.
  13. Levent Bulut, 2017. "Does Statistical Significance Help to Evaluate Predictive Performance of Competing Models?," Journal of Economics and Financial Analysis, Tripal Publishing House, vol. 1(1), pages 1-13.
  14. Richard D. F. Harris & Linh H Nguyen & Evarist Stoja, 2015. "Extreme downside risk and financial crises," Bank of England Staff Working Paper series 547, Bank of England.
  15. 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.
  16. Jying-Nan Wang & Jiangze Du & Chonghui Jiang & Kin-Keung Lai, 2019. "Chinese Currency Exchange Rates Forecasting with EMD-Based Neural Network," Complexity, Hindawi, vol. 2019, pages 1-15, October.
  17. Michael Takudzwa Pasara & Vincent Mugwira, 2023. "Exchange Rate (MIS-) Alignment: An Application of the Behavioural Equilibrium Exchange Rate (beer) Approach to Zimbabwe (1990-2018)," International Journal of Economics and Financial Issues, International Journal of Economics and Financial Issues, vol. 13(5), pages 128-141, September.
  18. Koki, Constandina & Leonardos, Stefanos & Piliouras, Georgios, 2022. "Exploring the predictability of cryptocurrencies via Bayesian hidden Markov models," Research in International Business and Finance, Elsevier, vol. 59(C).
  19. Lim, Siphat, 2024. "Modelling Cambodia's Foreign Exchange Rate Dynamics: A Markov-Switching Autoregressive Model," International Journal of Economics and Financial Issues, International Journal of Economics and Financial Issues, vol. 15(1), pages 330-336, December.
  20. Bulut Levent & Dogan Can, 2018. "Google Trends and Structural Exchange Rate Models for Turkish Lira–US Dollar Exchange Rate," Review of Middle East Economics and Finance, De Gruyter, vol. 14(2), pages 1-12, August.
  21. Panagiotis Papaioannnou & Lucia Russo & George Papaioannou & Constantinos Siettos, 2013. "Can social microblogging be used to forecast intraday exchange rates?," Papers 1310.5306, arXiv.org.
  22. repec:ipg:wpaper:2014-390 is not listed on IDEAS
  23. 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.
  24. 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.
  25. Zheng Fan & Worapree Maneesoonthorn & Yong Song, 2025. "A New Perspective of the Meese-Rogoff Puzzle: Application of Sparse Dynamic Shrinkage," Papers 2507.14408, arXiv.org.
  26. Panagiotis Papaioannou & Lucia Russo & George Papaioannou & Constantinos Siettos, 2013. "Can social microblogging be used to forecast intraday exchange rates?," Netnomics, Springer, vol. 14(1), pages 47-68, November.
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