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Dynamic behavior of volatility in a nonstationary generalized regime-switching GARCH model

Authors
Hong, Won-TakHwang, Eunju
Issue Date
Aug-2016
Publisher
ELSEVIER SCIENCE BV
Keywords
Regime-switching GARCH model; Volatility; Asymptotic normality
Citation
STATISTICS & PROBABILITY LETTERS, v.115, pp.36 - 44
Journal Title
STATISTICS & PROBABILITY LETTERS
Volume
115
Start Page
36
End Page
44
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/8065
DOI
10.1016/j.spl.2016.04.002
ISSN
0167-7152
Abstract
In this paper we consider a generalized regime-switching GARCH model with a wide class of dependent innovations, and establish asymptotic normality of the logarithm of volatility in the nonstationary generalized regime-switching GARCH model. This extends existing results for volatilities in nonstationary GARCH model with mixing sequences of innovations. A Monte-Carlo experiment is conducted to validate the main theory for the dynamics of the nonstationary volatilities. (C) 2016 Elsevier B.V. All rights reserved.
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Social Sciences (Department of Applied Statistics)
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