中国人民银行大额支付系统资金流与CPI的相关性研究

数学理论与应用 ›› 2017, Vol. 37 ›› Issue (1): 67-72.

中国人民银行大额支付系统资金流与CPI的相关性研究

林巧¹ ,朱恩文¹, 陈黎²

1.长沙理工大学数学与统计学学院,长沙,410114; 2.中国银行长沙中心支行,长沙,410000

出版日期:2017-03-30 发布日期:2020-09-24

Study of Correlations Between the Cash Flow of High-value Payment System in the People’s Bank of China and the CPI

Lin Qiao¹ ,Zhu Enwen¹ ,Chen Li 2

1.School of Mathematics and Statistics,Changsha University of Science and Technology,Changsha 410114,China; 2.The People＇s Bank of China,Changsha Central Sub-branch,Changsha 410000,China

Online:2017-03-30 Published:2020-09-24

摘要/Abstract

摘要： 银行大额支付系统给银行和广大企业以及金融市场提供快速､高效､安全的支付清算服务,防范支付风险.本文以中国人民银行长沙中心支行大额支付系统的资金流量变动与湖南省经济指标CPI关系为研究对象,构建他们二者关系的回归模型.研究结果表明,二者之间有正相关性.通过二者关系的回归函数的运用可实现对湖南省CPI的预测,为相关政府部门做市场经济的决策提供了一个有效的方法.

关键词: 大额支付系统, CPI预测, CPI相关性研究, 资金流量

Abstract:

The high-value payment system (HVPS)provides fast,efficient and secure payment services for enterprises and financial markets and prevents payment risks.This paper investigates the correlations between the cash flow changes of the People＇s Bank of China(PBS)in Hunan province and the economic index CPI in Hunan province by building a regression model.The results show that there is a highly positive correlation between the cash flow changes and the CPI.By using the regression model,we can predict the CPI and provide an effective method for the local government to make economic decisions.

Key words: High-value payment system, CPI prediction, Correlation analysis of CPI, Resource flow

林巧 , 朱恩文, 陈黎. 中国人民银行大额支付系统资金流与CPI的相关性研究[J]. 数学理论与应用, 2017, 37(1): 67-72.

Lin Qiao , Zhu Enwen , Chen Li .

Study of Correlations Between the Cash Flow of High-value Payment System in the People’s Bank of China and the CPI [J]. Mathematical Theory and Applications, 2017, 37(1): 67-72.