摘要
借鉴组合预测的思想,将协整优化指数跟踪方法与跟踪误差最小化指数跟踪模型组合,建立基于模糊软集合的组合预测指数跟踪模型.利用上证50指数与深证100指数进行实证分析,结果显示该方法能够有效提高跟踪效果.
The paper combines two index tracking approaches, the cointegration optimization index tracking approach and the tracking error minimization index tracking approach, to build the extended in- dex tracking model. According to the empirical study based on 50 Index of Shanghai Stock Exchange and 100 Index of Shenzhen Stock Exchange,the approach in this paper can make an improvement in the per- formance of index tracking.
出处
《湖州师范学院学报》
2015年第4期6-11,共6页
Journal of Huzhou University
基金
湖州师范学院校级科研资助项目(KX21070)
关键词
指数跟踪
组合预测
模糊软集合
index tracking
combination forecas
fuzzy soft sets