首页 | 本学科首页   官方微博 | 高级检索  
     检索      

景气预测模型应用研究
引用本文:肖进,樊英,朱兵.景气预测模型应用研究[J].软科学,2006,20(4):12-15.
作者姓名:肖进  樊英  朱兵
作者单位:1. 四川大学,工商管理学院,成都,610064
2. 四川省经委,信息中心,成都,610013
摘    要:将企业景气调查数据与传统统计数据相结合,综合利用这两类数据建立景气预测模型。首先分别建立景气预测的ARCH模型和GMDH自回归模型,然后构建了ARCH-GMDH组合预测模型。实证分析表明,与单一使用传统统计数据或企业景气调查数据建立的景气预测模型相比,综合利用两类数据建立的模型预测精度大大提高,从而为景气预测提供了一种新的思路。

关 键 词:景气预测  传统统计  企业景气调查  组合预测
文章编号:1001-8409(2006)04-0012-04
收稿时间:2006-01-11
修稿时间:2006-01-11

Applied Research on Business Forecast Model
XIAO Jin,FAN Ying,ZHU Bing.Applied Research on Business Forecast Model[J].Soft Science,2006,20(4):12-15.
Authors:XIAO Jin  FAN Ying  ZHU Bing
Institution:1. School of Business Administration, Sichuan University, Chengdu 610064; 2. Information Center , Sichuan Provincial Economic Committee , Che ngdu , 610013
Abstract:The paper unifies the enterprise booming investigation data and the tradition statistical data, comprehensively utilizes the two class data according to establishment booming forecast model. Firstly, the authors separately establish the ARCH model of business forecast and GMDH auto regression model, then construct ARCH-GMDH combination forecast model. The real diagnosis analysis indicates that, compared with the sole use tradition statistical data or the enterprise business investigation data establishment business forecast model, the comprehensive utilization two class numbers according to the establishment model forecast the precision enhances greatly, thus has provided a kind of new mentality for the booming forecast.
Keywords:business forecast  traditional statistics  enterprise business investigation  combination forecast
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号