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Studies in Nonlinear Dynamics & Econometrics

Ed. by Mizrach, Bruce

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Volume 17, Issue 5


Stochastic volatility model with regime-switching skewness in heavy-tailed errors for exchange rate returns

Jouchi Nakajima
  • Corresponding author
  • Department of Statistical Science (currently, Monetary Affairs Department, Bank of Japan), Duke University
  • Email
  • Other articles by this author:
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Published Online: 2013-07-13 | DOI: https://doi.org/10.1515/snde-2012-0021


A Bayesian analysis of the stochastic volatility model with regime-switching skewness in heavy-tailed errors is proposed using a generalized hyperbolic (GH) skew Student’s t-distribution. The skewness parameter is allowed to shift according to a first-order Markov switching process. We summarize Bayesian methods for model fitting and discuss analyses of exchange rate return time series. Empirical results show that interpretable regime-switching skewness can improve model fit and Value-at-Risk performance in a comparison against several other SV models with constant skewness or jump diffusions.

This article offers supplementary material which is provided at the end of the article.

Keywords: exchange rate return; generalized hyperbolic skew Student’s t-distribution; regime-switching skewness; stochastic volatility; Value-at-Risk


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About the article

Corresponding author: Jouchi Nakajima, Department of Statistical Science (currently, Monetary Affairs Department, Bank of Japan), Duke University, e-mail:

Published Online: 2013-07-13

Published in Print: 2013-12-01

Citation Information: Studies in Nonlinear Dynamics and Econometrics, Volume 17, Issue 5, Pages 499–520, ISSN (Online) 1558-3708, ISSN (Print) 1081-1826, DOI: https://doi.org/10.1515/snde-2012-0021.

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