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Mike So, Raymond Chan (2012)
Bayesian Analysis of Tail Asymmetry Based on a Threshold Extreme Value ModelEconometric Modeling: Capital Markets - Risk eJournal
T. Ando (2007)
Bayesian predictive information criterion for the evaluation of hierarchical Bayesian and empirical Bayes modelsBiometrika, 94
H Akaike (1973)
Proceedings of the Second International Symposium on Information Theory
S. Poon, C. Granger (2003)
Forecasting Volatility in Financial Markets: A ReviewJournal of Economic Literature, 41
T. Bollerslev, R. Chou, Kenneth Kroner (1992)
ARCH modeling in finance: A review of the theory and empirical evidenceJournal of Econometrics, 52
R. Engle (1982)
Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflationEconometrica, 50
G. Schwarz (1978)
Estimating the Dimension of a ModelAnnals of Statistics, 6
M Stone (2002)
Discussion of a paper by D. J. Spiegelhalter et al, 64
Peter Congdon (2006)
Bayesian model choice based on Monte Carlo estimates of posterior model probabilitiesComput. Stat. Data Anal., 50
C. Li, W. Li (1996)
On a Double-Threshold Autoregressive Heteroscedastic Time Series ModelJournal of Applied Econometrics, 11
Cathy Chen, R. Gerlach, Mike So (2008)
Bayesian Model Selection for Heteroskedastic ModelsEconometrics: Econometric & Statistical Methods - General eJournal
A. Dempster (1997)
The direct use of likelihood for significance testingStatistics and Computing, 7
Cathy Chen, Mike So (2006)
On a threshold heteroscedastic modelInternational Journal of Forecasting, 22
Cathy Chen, R. Gerlach, Boris Choy, Celine Lin (2009)
Estimation and Inference for Exponential Smooth Transition Nonlinear Volatility ModelsEconometrics: Econometric & Statistical Methods - General eJournal
CP Robert, DM Titterington (2002)
Discussion on “Bayesian measures of model complexity and fit” (by Spiegelhalter, D.J. et al.), 64
Cathy Chen, Buu-Chau Truong (2016)
On double hysteretic heteroskedastic modelJournal of Statistical Computation and Simulation, 86
M. Medeiros, Álvaro Veiga (2009)
MODELING MULTIPLE REGIMES IN FINANCIAL VOLATILITY WITH A FLEXIBLE COEFFICIENT GARCH(1,1) MODELEconometric Theory, 25
T. Ando (2011)
Predictive Bayesian Model SelectionAmerican Journal of Mathematical and Management Sciences, 31
D. Spiegelhalter, N. Best, B. Carlin, A. Linde (2002)
Bayesian measures of model complexity and fitJournal of the Royal Statistical Society: Series B (Statistical Methodology), 64
Guodong Li, Bo Guan, W. Li, P. Yu (2015)
Hysteretic autoregressive time series modelsBiometrika, 102
Chris Brooks (2001)
A Double-Threshold GARCH Model for the French Franc/Deutschmark Exchange RateJournal of Forecasting, 20
Peter Congdon (2007)
Model weights for model choice and averagingStatistical Methodology, 4
H Tong (1978)
Pattern Recognition and Signal Processing
H. Akaike (1973)
Information Theory and an Extension of the Maximum Likelihood Principle, 1
B. Hansen (1994)
Autoregressive Conditional Density EstimationInternational Economic Review, 35
G. Koutmos (1999)
Asymmetric Price and Volatility Adjustments in Emerging Asian Stock MarketsJournal of Business Finance & Accounting, 26
Cathy Chen, R. Gerlach, Ann Lin (2010)
Falling and explosive, dormant, and rising markets via multiple-regime financial time series modelsApplied Stochastic Models in Business and Industry, 26
Cathy Chen, T. Chiang, Mike So (2003)
Asymmetrical reaction to US stock-return news: evidence from major stock markets based on a double-threshold modelJournal of Economics and Business, 55
Chun-shan. Wong, W. Li (2001)
On a Mixture Autoregressive Conditional Heteroscedastic ModelJournal of the American Statistical Association, 96
R. Gerlach, Chris Carter, R. Kohn (1999)
Diagnostics for Time Series AnalysisJournal of Time Series Analysis, 20
J. Berkhof, I. Mechelen, A. Gelman (2003)
A Bayesian approach to the selection and testing of mixture modelsStatistica Sinica, 13
T. Bollerslev (1986)
Generalized autoregressive conditional heteroskedasticityJournal of Econometrics, 31
H. Tong (1978)
On a threshold model
H. Tong (1990)
Non-linear time series. A dynamical system approach
K. Zhu, W. Li, P. Yu (2017)
Buffered Autoregressive Models With Conditional Heteroscedasticity: An Application to Exchange RatesJournal of Business & Economic Statistics, 35
M. Iorio (2002)
Discussion to the paper by Spiegelhalter et al., “Bayesian measures of complexity and fit”Journal of The Royal Statistical Society Series B-statistical Methodology
The threshold autoregressive model with generalized autoregressive conditionally heteroskedastic (GARCH) specification is a popular nonlinear model that captures the well‐known asymmetric phenomena in financial market data. The switching mechanisms of hysteretic autoregressive GARCH models are different from threshold autoregressive model with GARCH as regime switching may be delayed when the hysteresis variable lies in a hysteresis zone. This paper conducts a Bayesian model comparison among competing models by designing an adaptive Markov chain Monte Carlo sampling scheme. We illustrate the performance of three kinds of criteria by comparing models with fat‐tailed and/or skewed errors: deviance information criteria, Bayesian predictive information, and an asymptotic version of Bayesian predictive information. A simulation study highlights the properties of the three Bayesian criteria and the accuracy as well as their favorable performance as model selection tools. We demonstrate the proposed method in an empirical study of 12 international stock markets, providing evidence to strongly support for both models with skew fat‐tailed innovations. Copyright © 2016 John Wiley & Sons, Ltd.
Applied Stochastic Models in Business and Industry – Wiley
Published: Nov 1, 2016
Keywords: ; ; ; ; ;
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