Abstract
A regime-switching Lévy model combines jump-diffusion under the form of a Lévy process, and Markov regime-switching where all parameters depend on the value of a continuous time Markov chain. We start by giving general stochastic results. Estimation is performed following a two-step procedure. The EM-algorithm is extended to this new class of jump-diffusion regime-switching models. An empirical application is dedicated to the study of Asian equity markets.
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Acknowledgements
For useful comments and suggestions on previous drafts, we wish to thank Marco Lombardi, Stelios Bekiros, Raphaelle Bellando, Gilbert Colletaz, Cem Ertur, Francesco Serranito, Daniel Mirza as well as participants at the 2014 Symposium of the Society for Nonlinear Dynamics & Econometrics (Baruch College, New York, USA), the 2014 Annual Conference of the International Association for Applied Econometrics (Queen Mary, University of London, UK), and the LEO Economic Seminar (Université d’Orléans).
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Chevallier, J., Goutte, S. (2015). Statistical Method to Estimate a Regime-Switching Lévy Model. In: Steland, A., Rafajłowicz, E., Szajowski, K. (eds) Stochastic Models, Statistics and Their Applications. Springer Proceedings in Mathematics & Statistics, vol 122. Springer, Cham. https://doi.org/10.1007/978-3-319-13881-7_42
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DOI: https://doi.org/10.1007/978-3-319-13881-7_42
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