A new approach to model regime switching
- Authors
- Chang, Yoosoon; Choi, Yongok; Park, 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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Collections - College of Business & Economics > School of Economics > 1. Journal Articles
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