基于互联网的金融二级市场数据统计分析

Statistical Analysis of Financial Secondary Market data based on Internet

为了提高互联网金融二级市场数据统计分析能力,提出一种基于定量递归分析的互联网金融二级市场数据统计分析方法,对采集的金融二级市场数据进行关联规则特征集构造,构建互联网金融二级市场数据库。采用加权统计分析方法对数据库中的关联数据特征进行样本稳健性分析。以金融资产总额和股权收益数据为测试集,采用层次聚类方法对统计数据进行显著性正相关分析。对全部的内控金融评估报告信息样本进行抽样训练,提取关联特征量,结合资产增长描述性统计分析方法进行数据聚类中心扰动性分析。将提取结果输入到定量递归分析模型中进行数据分类,结合大数据融合聚类方法实现统计分析。实证分析结果表明,该方法统计分析的准确性较高,稳健性较好。

In order to improve the statistical analysis ability of secondary market data of Internet finance, a quantitative recursive analysis based statistical analysis method of secondary market data of Internet finance is proposed. The data collected from secondary market of finance are constructed with association rules feature set, and the database of secondary market of Internet finance is constructed. The method of weighted statistical analysis is used to analyze the sample robustness of the features of the associated data in the database. Taking the total financial assets and equity returns data as test sets, the hierarchical clustering method is used to analyze the statistical data of significant positive correlation. Sampling training was carried out on all samples of internal control financial evaluation report information to extract correlation features, and perturbation analysis of data clustering center was carried out with descriptive statistical analysis of asset growth. The extracted results are input into the quantitative recursive analysis model to classify the data, and the statistical analysis is realized by combining the large data fusion clustering method. Empirical analysis results show that the method is accurate and robust.