DocumentCode
2450855
Title
An empirical study on balance of trade in China based on random forest regression model
Author
Luo, Linkai ; Lv, Weihang ; Zhang, Renshuo
Author_Institution
Dept. of Autom., Xiamen Univ., Xiamen, China
fYear
2010
fDate
24-27 Aug. 2010
Firstpage
561
Lastpage
564
Abstract
This paper studies the nonlinear relation between the balance of trade and the affection factors. The nonlinear regression model for the balance of trade is constructed by random forest (RF) method. Moreover, the ranking of importance for affection factors is given out. The empirical results in this paper reveal the balance of trade in China is affected mainly by M2, GDP, CPI, Exchange reserves, M1 and Gross Industrial output, which is helpful for the government decision-making.
Keywords
commerce; decision making; exchange rates; random processes; regression analysis; CPI; China; GDP; M1; M2; exchange reserves; government decision-making; gross industrial output; nonlinear regression model; nonlinear relation; random forest method; random forest regression model; Accuracy; Biological system modeling; Classification algorithms; Economic indicators; Exchange rates; Radio frequency; Training; Balance of Trade; Random Forest; Regression Model;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Education (ICCSE), 2010 5th International Conference on
Conference_Location
Hefei
Print_ISBN
978-1-4244-6002-1
Type
conf
DOI
10.1109/ICCSE.2010.5593550
Filename
5593550
Link To Document