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Forecasting cointegrated nonstationary time series with time-varying variance
Tu, Yundong1,2; Yi, Yanping3
刊名JOURNAL OF ECONOMETRICS
2017-01
卷号196期号:1页码:83-98
关键词Cointegration Error correction model Model averaging Pre-testing Time-varying variance
ISSN号0304-4076
DOI10.1016/j.jeconom.2016.09.012
英文摘要In cointegrated vector autoregressive (VAR) models, error correction terms often have indeterminate effects on forecasting, thus we are concerned with inclusion or exclusion of the cointegration relation in forecast. This paper considers the model averaging strategies for cointegrated VAR models with heterogeneous variance or variance breaks. The estimated cointegration rank along with other data information are used to formulate the model averaging weights. This specific but unknown pattern of time-varying variances has nontrivial effects on the choices of model weights. Our numerical results strongly advocate the Mallows averaging estimator, but caution against the commonly used pre-testing approach. (C) 2016 Elsevier B.V. All rights reserved.
WOS研究方向Business & Economics ; Mathematics ; Mathematical Methods In Social Sciences
语种英语
出版者ELSEVIER SCIENCE SA
WOS记录号WOS:000389388500006
内容类型期刊论文
源URL[http://10.2.47.112/handle/2XS4QKH4/1131]  
专题上海财经大学
通讯作者Yi, Yanping
作者单位1.Peking Univ, Guanghua Sch Management, Beijing, Peoples R China;
2.Peking Univ, Ctr Stat Sci, Beijing, Peoples R China;
3.Shanghai Univ Finance & Econ, Sch Econ, 777 Guoding Rd, Shanghai 200433, Peoples R China
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Tu, Yundong,Yi, Yanping. Forecasting cointegrated nonstationary time series with time-varying variance[J]. JOURNAL OF ECONOMETRICS,2017,196(1):83-98.
APA Tu, Yundong,&Yi, Yanping.(2017).Forecasting cointegrated nonstationary time series with time-varying variance.JOURNAL OF ECONOMETRICS,196(1),83-98.
MLA Tu, Yundong,et al."Forecasting cointegrated nonstationary time series with time-varying variance".JOURNAL OF ECONOMETRICS 196.1(2017):83-98.
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