Regime-switching models for exchange rates
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DOI: 10.1080/1351847X.2014.904240
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Cited by:
- Havva Koc, 2021. "Exchange Rate Volatility in the Covid-19 Period: An Analysis Using the Markov-Switching ARCH Model," EKOIST Journal of Econometrics and Statistics, Istanbul University, Faculty of Economics, vol. 0(35), pages 205-220, December.
- Park, Ki Young & Kim, Soohyon, 2019. "Detecting currency manipulation: An application of a state-space model with Markov switching," Japan and the World Economy, Elsevier, vol. 49(C), pages 50-60.
- 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.
- 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).
- Panopoulou, Ekaterini & Souropanis, Ioannis, 2019. "The role of technical indicators in exchange rate forecasting," Journal of Empirical Finance, Elsevier, vol. 53(C), pages 197-221.
- Nikolaos Stoupos & Apostolos Kiohos, 2021. "BREXIT referendum’s impact on the financial markets in the UK," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 157(1), pages 1-19, February.
- Tzika, Paraskevi & Pantelidis, Theologos, 2024. "Economic policy uncertainty as an indicator of abrupt movements in the US stock market," The Quarterly Review of Economics and Finance, Elsevier, vol. 94(C), pages 93-103.
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