会议专题

Prediction And Analysis of The Household Savings Based on The Multiplicative Seasonality Model

Household savings represent the purchasing power of the remaining of the disposable income after getting ride of consumption. For predicting on household savings is extremely important. The existing prediction model of household savings usually use traditional methods—regression prediction method. However, the paper uses the method of multiplicative seasonality model of time series to analysis and predicts the rest of household saving, and derives that the ideal prediction model of ARIMA(2,1,1) (1,1,1,).

household saving multiplicative seasonality ARIMA Model prediction

Ruicheng Yang Maoxiu Pang Xingmin Yang

Finance School Inner Mongolia Finance and Economics University Hohhot 010051,China chool of Mathemat School of Mathematic and Information Ludong University Yantai, Shandong Province, China

国际会议

2012 IEEE 3rd International Conference on Software Engineering and Service Science(第三届IEEE软件工程与服务科学国际会议 ICSESS2010)

北京

英文

624-626

2012-06-22(万方平台首次上网日期,不代表论文的发表时间)