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1)  Intraday High Frequency Data
日内高频数据
2)  intraday data
日内数据
3)  High frequency data
高频数据
1.
Estimating Long Memory Stochastic Volatility Model and Forecasting Using Volatility Based on High Frequency Data from Chinese Stock Markets;
长记忆随机波动模型的估计与波动率预测——基于中国股市高频数据的研究
2.
The Effects of Tick Size on the Liquidity of Chinese Stock Market:An Empirical Research on the Basis of High Frequency Data;
最小报价单位对我国股票市场流动性影响——基于高频数据的实证研究
3.
Return Volatility Analysis in Stock Market of China:High Frequency Data Showing the Characteristic;
中国股市回报波动性分析——高频数据揭示股市的特征
4)  high-frequency data
高频数据
1.
Research on the modelling of realized volatility based on multivariate high-frequency data;
多维高频数据的“已实现”波动建模研究
2.
Review of Empirical Research on Financial Market Microstructure Based on High-frequency Data;
基于高频数据的金融市场微观结构实证研究综述
3.
This paper adopts minutely high-frequency data of yields,volumes and open interests of the six commodities futures in three exchanges of China to probe into their intraday change patterns,and discovers the `L pattern intraday movement of absolute yield and volume.
运用1分钟高频数据对我国三个市场、六个品种的商品期货的收益率和交易量的日内变动模式进行研究,得出了日内绝对收益率及交易量的"L"型变化模式。
5)  High Frequency/Ultra High Frequency Data
高频/超高频数据
6)  ultra-high frequency data
超高频数据
1.
Because modeling for ultra-high frequency data can not only make up the shortcoming of modeling for data which have the same interval traditionally,but also discern microstructure of financial market.
鉴于针对超高频数据统计建模能够有效弥补传统相同时间间隔数据统计建模的不足,而且有助洞悉金融市场微观结构,近年来,对金融市场超高频数据的研究已成为金融计量学一个全新的研究领域。
补充资料:日内
1.最近几天里。
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