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   金融时间 的翻译结果: 查询用时:0.464秒
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金融时间
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  financial time
     Analysis of financial time series by R/S method
     应用R/S分析方法研究金融时间序列
短句来源
     Methods of Detrend of Financial Time Series
     金融时间序列去趋势统计方法研究
短句来源
     Experimental results demonstrate that,compared with SOM,Kernel-SOM is more suitable for the visualization application of financial time series prediction.
     实验结果表明,Kernel-SOM更适合于金融时间序列预测的可视化应用。
短句来源
     To improve the visualization performance of financial time series prediction,Kernel-SOM is proposed by importing Kernel into the traditional SOM(Self-Organization Map).
     为了提高金融时间序列预测可视化的效果,在经典的自组织映射SOM(Self-O rgan ization M ap)中引入了核(Ker-nel)的思想得到Kernel-SOM。
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     Application of Matlab in Analysing and Modeling Financial Time Sequences
     MATLAB在金融时间序列分析及建模中的应用
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  “金融时间”译为未确定词的双语例句
     Fluctuation has become the focus in measurement and finance engineering.
     金融时间序列数据中波动问题成为了近年来计量与金融工程领域的一个新热点。
短句来源
     1.Through empirical research of high-frequency time series of Shanghai Composite Index, the paper researches the different statistical properties on different frequency.
     本文对两种类型的高频金融时间序列分别进行了研究,主要工作如下:1、以上证综合指数不同频率的数据为样本,研究了等间隔高频金融时间序列的统计特征并讨论了不同采样频率下数据集统计性质的不同。
短句来源
     Uniting VaR and CVaR can fully describe tailrelated risk.
     将VaR和CVaR结合起来能全面描述金融时间序列与尾部相关的风险。
短句来源
     This paper introduces traditional time series models and a new model called all-pass model as well. Two methods are considered in solving the all-pass model parameters.
     本文对金融时间序列分析的技术进行了探讨,不仅介绍了传统的时间序列模型,而且还引入了一种新的模型——all-pass模型,并对其参数求解过程提出了两种方法,最后在研究的基础之上,得到了一些有价值的结论。
短句来源
     First of all, the author discusses the extension from univariate GARCH to multivariate GARCH model and the important role of the MGARCH model in the modern financial research.
     笔者首先讨论了在金融时间序列的考察中从一元GARCH模型扩展到多元GARCH模型的必要性。 分析了多元GARCH模型在金融建模中的重要作用。
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  相似匹配句对
     Time is...
     时间
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     FINANCIAL
     金融
短句来源
     Time
     时间
短句来源
     Test of Financial Time Series
     金融时间序列的混沌识别
短句来源
     A NEW CONCEPT TO EXPRESS FINANCIAL TIME SERIES DATA
     金融时间序列的概念表示
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  financial time
We present a exactly soluble model for financial time series that mimics the long range volatility correlations known to be present in financial data.
      
Local order, entropy and predictability of financial time series
      
Modelling fluctuations of financial time series: from cascade process to stochastic volatility model
      
This model is able to reproduce most of recent empirical findings concerning financial time series: no correlation between price variations, long-range volatility correlations and multifractal statistics.
      
Output for the associated time series show all the characteristics of familiar financial time series providing J >amp;lt; 0 and D≈ | J|.
      
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This paper discusses the structure and theoretical foundation of MTV (multivariate time series variance component) model,and relates its applicance methods to analysis and forecast financial time series.

本文对MTV(多元时间序列方差成份)模型的构造及理论基础进行了详细的讨论,并论述了其分析和预测金融时间序列的运用方法

This paper discusses the concepts of data warehouse technology, and its background. Data warehouse can meet the requirements of the subject oriented analyses and decision making, and is fitted to forming a new technology frame for enterprises information systems. Then we put forth the structure of data warehouse, and its main functional components. The investment and return of data warehouse systems are compared. Finally, we describe the application of data warehouse technology in the designing of economic &...

This paper discusses the concepts of data warehouse technology, and its background. Data warehouse can meet the requirements of the subject oriented analyses and decision making, and is fitted to forming a new technology frame for enterprises information systems. Then we put forth the structure of data warehouse, and its main functional components. The investment and return of data warehouse systems are compared. Finally, we describe the application of data warehouse technology in the designing of economic & financial time series data base and decision support systems, which is the first one in China that has been installed in banks.

讨论了数据仓库研究的历史背景和意义,描述了数据仓库的基本概念和特征,归纳并提出了数据仓库的基本体系结构,分析了数据仓库的设计与投资收益.最后简要介绍了数据仓库技术在人民银行经济金融时间序列数据库及统计分析与决策支持系统开发中的应用

Economic and Financial Time Sequence Database system(EFTS) of people's Bank of China, which has been successfully developped.This paper introduce how to realize financial statistics and analysis by computer of central bank at frist. In addition, that introduce design method and main fountion of EFTS.

本文以已经实现的中国人民银行经济金融时间序列数据库系统为基础,介绍中央银行如何借助计算机工具从事金融调查统计和分析预测工作,以及该系统的设计方法和主要功能。

 
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