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Modeling Realized Covariances and Returns
Jin, Xin1; Maheu, John M.2
刊名JOURNAL OF FINANCIAL ECONOMETRICS
2013-03
卷号11期号:2页码:335-369
关键词C11 C32 C53 G17 Wishart distribution predictive likelihoods density forecasts realized covariance targeting MCMC
ISSN号1479-8409
DOI10.1093/jjfinec/nbs022
英文摘要This article proposes new dynamic component models of returns and realized covariance (RCOV) matrices based on time-varying Wishart distributions. Bayesian estimation and model comparison is conducted with a range of multivariate GARCH models and existing RCOV models from the literature. The main method of model comparison consists of a term-structure of density forecasts of returns for multiple forecast horizons. The new joint return-RCOV models provide superior density forecasts for returns from forecast horizons of 1 day to 3 months ahead as well as improved point forecasts for realized covariances. Global minimum variance portfolio selection is improved for forecast horizons up to 3 weeks out.
WOS研究方向Business & Economics
语种英语
出版者OXFORD UNIV PRESS
WOS记录号WOS:000316420100004
内容类型期刊论文
源URL[http://10.2.47.112/handle/2XS4QKH4/2011]  
专题上海财经大学
通讯作者Maheu, John M.
作者单位1.Shanghai Univ Finance & Econ, Shanghai, Peoples R China;
2.McMaster Univ, Hamilton, ON L8S 4L8, Canada
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Jin, Xin,Maheu, John M.. Modeling Realized Covariances and Returns[J]. JOURNAL OF FINANCIAL ECONOMETRICS,2013,11(2):335-369.
APA Jin, Xin,&Maheu, John M..(2013).Modeling Realized Covariances and Returns.JOURNAL OF FINANCIAL ECONOMETRICS,11(2),335-369.
MLA Jin, Xin,et al."Modeling Realized Covariances and Returns".JOURNAL OF FINANCIAL ECONOMETRICS 11.2(2013):335-369.
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