Research ArticleOpen AccessGoogle Scholar indexed
Application of <i>SARIMA</i> Model on Money Supply
School of Mathematics and Statistics, Qinghai Nationalities University, Xining, China
School of Mathematics and Statistics, Qinghai Nationalities University, Xining, China
- 1 School of Mathematics and Statistics, Qinghai Nationalities University, Xining, China
- 2 School of Mathematics and Statistics, Qinghai Nationalities University, Xining, China
Open Journal of Statistics·Volume 07 (2017)·Pages 112–121·Published 9 February 2017·DOI10.4236/ojs.2017.71009
Copy link · social · email
Abstract
In the paper, the data of the narrow money supply of China from January 2005 to March 2016 as sample, model is established by using Eviews6.0. Upon inspection, the model has good fitting effect (MAPE = 1.09) and high prediction accuracy. According to the results of the model, the paper forecasts the development trend of the narrow money supply of China and puts forward some suggestions to provide reference for monetary policy of China.
KeywordsModelMoney SupplyForecast
- Chen, R.Q. and Wang, T.T. (2016) The Nonlinear Effects of the Money Supply on Chinese Insurance Market. Insurance Studies, No. 7, 55-67.
- Gu, L.B. and Chen, B.F. (2013) The Analysis of Policy’s Affections on First-and Second-Tier Cities’ Real Estate Markets. Journal of Hebei University of Economics and Business, 34, 15-18.
- Zhang, X.L. (2012) Empirical Study on the Relationship of Money supply and Stock Market Price. On Economic Problems, No. 10, 89-92.
- Yi, D.H. (2008) Data Analysis and Application of Eviews. China Renmin University Press, Beijing.
- Wang, Z.L. (2010) Applied Time Series Analysis. China Statistics Press, Beijing.
- The People’s Bank of China, Statistics and Analysis Department (2006) Seasonal Adjustment on X-12-ARIMA—Theory and Method. China Financial Publishing House, Beijing.