1) DCC-(BV)GARCH model
动态条件相关二元GARCH
2) dynamic conditional correlation multivariate GARCH
动态条件相关多元GARCH模型
1.
In this study,we deal with the dynamic relationship between return and three liquidity risks proposed by Acharya and Pedersen and systematic risk variables in Shanghai Stock Markets,by applying the dynamic conditional correlation multivariate GARCH(DCC-MVGARCH) proposed by Engle and the method of vector auto-regression(VAR).
应用Engle(2002)提出的动态条件相关多元GARCH模型(DCC-MVGARCH)和向量自回归(VAR)方法,研究了上海股票市场收益与Acharya and Pedersen(2005)提出的三种流动性风险以及系统风险变量的动态关系。
3) dynamic conditional correlation
动态条件相关系数
1.
The diagonal dynamic conditional correlation model is applied to estimate the dynamic conditional correlations among oil markets,calculate the dynamic hedging ratios between spot market and futures market,and evaluate the hedging performance of different kinds of markets portfolio,including WTI and Brent markets and cross markets.
以WTI和Brent两地的原油现货市场和期货市场为研究对象,选择对角化的动态条件相关(DCC)模型估计了市场间的动态条件相关系数,求解了WTI市场、Brent市场及跨市的动态套期保值比,评价了各种市场组合的套期保值效果。
4) bivariate-GARCH
二元GARCH
1.
This paper uses bivariate-GARCH model to analyze the co-movement relationship between Chinese stock market and American stock market over the period of 2002 to 2007.
用二元GARCH模型的方法建立了中美股票市场的波动模型,考察了中美两个股票市场从2002—2007年间的股指波动的联动性问题。
5) correlative condition
相关条件
1.
Research on processing technology of mixed fermented pulpy vegetable drink (Study on processing technology and correlative conditions of fermented vegetable drink);
果肉型混合发酵蔬菜汁饮料加工技术研究(二)——发酵蔬菜汁饮料生产工艺及相关条件的研究
补充资料:动态
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