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基于向量自回归模型的税务指标预测
引用本文:江莉.基于向量自回归模型的税务指标预测[J].科学技术与工程,2011,18(18).
作者姓名:江莉
作者单位:青岛科技大学数理学院,青岛,266061
摘    要:资产负债率是检查企业财务状况的一个重要指标,它的预测是很多企业所关心的。由于影响资产负债率的因素很多,选取了4个影响资产负债率的线性主要因素。根据某公司两年的资产负债率数据,选择变量,建立向量自回归模型。对下一月份的资产负债率进行预测,取得了很好的结果,相对误差控制在1.5%以内。

关 键 词:向量自回归模型  相对误差  资产负债率  
收稿时间:2011/3/15 0:00:00
修稿时间:2011/3/15 0:00:00

The forecast of tax indicators based on Vector Auto-regression model
jiangli.The forecast of tax indicators based on Vector Auto-regression model[J].Science Technology and Engineering,2011,18(18).
Authors:jiangli
Affiliation:JIANG Li,ZHANG Rui-kun(Department of Mathematics and Physics,Qingdao University of Science and Technology,Qingdao 266061,P.R.China)
Abstract:Asset-liability ratio is an important indicator to examine the financial status of the enterprises,and its prediction is of concern to a lot of enterprises.Four asset-liability ratio of the linear impact of the main factors is selected because many factors have an effect on the asset-liability ratio.According to the asset-liability ratio data of a company for two years,VAR model for the forecast of the next month's asset-liability ratio is chose variabled and es-tablished,and achieved good results,the error...
Keywords:VAR model relative error asset-liability ratio  
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