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A new approach to model regime switching

Authors
Chang, YoosoonChoi, YongokPark, Joon Y.
Issue Date
Jan-2017
Publisher
ELSEVIER SCIENCE SA
Keywords
Regime switching model; Latent factor; Endogeneity; Mean reversion; Leverage effect; Maximum likelihood estimation; Markov chain
Citation
JOURNAL OF ECONOMETRICS, v.196, no.1, pp 127 - 143
Pages
17
Journal Title
JOURNAL OF ECONOMETRICS
Volume
196
Number
1
Start Page
127
End Page
143
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/41616
DOI
10.1016/j.jeconom.2016.09.005
ISSN
0304-4076
1872-6895
Abstract
This paper introduces a new approach to model regime switching using an autoregressive latent factor, which determines regimes depending upon whether it takes a value above or below some threshold level. In our approach, the latent factor is allowed to be correlated with the innovation to the observed time series. If the latent factor becomes exogenous, our approach reduces to the conventional Markov switching. We develop a modified Markov switching filter to estimate the mean and volatility models with Markov switching that are frequently analyzed, and find that the presence of endogeneity in regime switching is indeed strong and ubiquitous. (C) 2016 Elsevier B.V. All rights reserved.
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경영경제대학 (경제학부(서울))
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