2) Stock index
证券指数
1.
Predicting Stock index Using Weighted Support Vector Machines;
加权支持向量机在证券指数预测中的研究
2.
As the forecasting of a huge-size financial time series by training a standard SVM (Support Vector Machine) will result in slow training speed and large memory spending, a decomposition-cooperation-weighted SVM regression is put forward and used to predict the stock index.
运用标准支持向量机预测海量金融时间序列数据会出现训练速度慢、内存开销大的问题,文中提出一种分解合作加权的回归支持向量机,将大样本集分解成若干工作子集,分段提炼出支持向量机,同时根据支持向量的重要性给出不同的错误惩罚度,并将其应用于证券指数预测。
3.
With the application of this model in the prediction of stock index, the absolute and comparative errors have been reduced to a much lower level.
将该模型应用在证券指数的预测上 ,取得了绝对误差、相对误差较小的结
3) Number Securities
证券种数
4) securities number
证券数目
1.
In the paper,researching into the minimum varance set,we proved that the risk of optimal portfolio may not reduce at the same expected return on increasing securities number and gave the full and essential condition of distinguishing invalid security under risk non-reducing.
以证券组合投资之最小方差集合为研究对象,证明了随着证券数目的增加,对应相同的期望收益率,最优投资组合的风险不一定必然减少;并给出了在风险不减少情况下无效证券差别的充要条件。
5) security bargain data
证券交易数据
6) chinese stock index
中国证券指数
补充资料：数不胜数
1.数也数不清。形容很多。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条