Financial data analysis的例句大全

The Implement of Financial Data Analysis Module Base on SSAS Technology

基于微软SSAS技术的金融数据分析模块的实现

High-frequency financial data analysis and modeling is a new research field in financial econometrics, and the calendar effects are most important discovery in financial market microstructure field.

高频数据“日历效应”是金融市场微观结构研究领域的重要发现，但是金融市场微观结构理论主要是从定性的角度研究“日历效应”。

The simulation results show that the quantum neuron network is superior to classical BP and RBF network for two financial data analysis examples.

仿真结果表明，就文中算例而言，该量子神经网络的计算性能优于传统的神经网络。

The Financial Development, FDI and Technical Progress: An Threshold Model Analysis Based on the Inter-Province Panel Data in China

金融发展、外商直接投资与技术进步&基于中国省际面板数据的门槛模型分析

The DuPont analysis of major economic laws ratios using the intrinsic link between the use of basic data to calculate the financial indicators of interest in core net interest margin.

而运用杜邦分析法进行相关分析则利较好地揭示了各主要经济效益比率指标之间的内在联系，利用财务基础数据计算出企业核心指标权益净利率。

the paper selects 18 financial indicators of 37 listed real estate companies to establish the evaluation index system, and uses the same set of data to estimate discriminant analysis model and logistic regression model.

本文选取了37家上市房地产开发企业的18个财务指标建立评价指标体系，对同一套数据分别采用判别分析法和Logistic回归模型进行估计。

the paper proposes a new formula for the data analysis in suspicious financial transactions, aimed at protecting privacy rights of the customers.

有效利用多方数据进行分析，将隐私保护关联规则应用于可疑金融交易识别中，提出了一种新的算法来满足目前用于异构的分布式数据库的隐私保护。

On the demand side, the main analysis of the needs and requirements of the main categories, as well as 18 county towns of the actual survey data, obtained in rural demand for financial services growing in the aggregate, the structure presents a variety of conclusions.

在金融服务需求方面，主要分析了需求主体和需求分类，以及对阳谷县18个乡镇的调查数据，得出了农村对金融服务需求在总量上不断增长，在结构上呈现多样化的结论。

The paper proposes the interactive mechanism between financial intermediary development and technologic innovation, and makes an empirical analysis with Chinese data.

基于此提出金融中介发展与技术创新的互动机理，并且运用我国的数据进行了实证分析。

The primary discussion on the data lead-in of the financial analysis model

财务分析模型的数据导入探析

Forewarning Analysis of Chinese Listed Corporations' Financial Crisis Based on Data Mining Techniques

基于数据挖掘技术的中国上市公司财务危机预警分析

accomplished and talented financial analyst seeking to leverage extensive background in data gathering and analysis in a senior financial analyst role.

有才能的成功金融分析师寻求以高级金融分析师身份利用广阔背景进行数据收集和分析。

Therefore, the enterprise fords the tax to report the data appears very importantly, but reported behind the data the financial analysis and accountant the practice operation are the important content which the business owner should pay attention.

因此，企业涉税申报数据显得很重要，而申报数据背后的财务分析和会计实务操作更是企业主应该关注的重要内容。

Finally, the use of multiple Logistic regression analysis model, using the securities markets open up access to financial data, after testing on the samples tested, the miscarriage of justice come to the model was only 20 percent.

最后，运用多元Logistic回归分析模型，采用证券市场上公开取得的财务数据，经过对检验样本的测试，得出模型的误判率仅为20%。

DNA Series Analysis Method Applied in Study of Financial Data Time Series

DNA序列分析法在金融数据时间序列中的应用

Build financial forecasting system with logistic regression analysis on the base of the deficit data.

根据计算的指标，运用Logistic回归分析作为主要建模方法，建立了财务预警系统。

Meanwhile, This paper make the modular design as to data capture, data analysis, time set of pre-alarm and result of pre-alarm respectively. This method can increase the practicability of financial pre-alarm model as well as the sensitivity and promptness.

同时本文在程序设计中分别对数据获取、后台数据加工、预警时间设置及预警结果显示进行了模块化设计，提高了财务预警模型的实用性及对财务风险预警的敏感性和及时性。

ARCH models have a good resolution on financial data clustering phenomenon, and have a wide range of applications in the volatility of the estimated financial data. This article will use the ARCH family of models of volatility to make the analysis.

ARCH族模型对具有集簇现象的金融数据具有较好的拟合性，且在对金融数据的波动率估计方面有相当广泛的应用，就此，本文也将使用ARCH族模型进行对波动性的分析。

The shortcomings of traditional risk analysis methods is that it may underestimate the risk seriously, Copula function can reflect the dependence structure between variables and describe peak heavy-tail and unsymmetric of financial data and so on, therefore, it has been developed rapidly in the financial analysis.

传统风险分析方法具有可能严重低估风险的缺点，Copula函数（连接函数）能够体现变量之间的相关结构以及描述金融数据尖峰厚尾和非对称等性质，因此在金融分析中得到迅速发展。

The Analysis of Second-order Volatility Matrix under High Frequency Financial Data

高频金融数据下二阶波动率阵的分析