DocumentCode :
2982545
Title :
Prediction and analysis of the household savings based on the multiplicative seasonality model
Author :
Yang, Ruicheng ; Pang, Maoxiu ; Yang, Xingmin
Author_Institution :
Finance Sch., Inner Mongolia Finance & Econ. Univ., Hohhot, China
fYear :
2012
fDate :
22-24 June 2012
Firstpage :
624
Lastpage :
626
Abstract :
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,).
Keywords :
autoregressive moving average processes; financial management; regression analysis; time series; ARIMA; autoregressive integrated moving average; disposable income; household savings; multiplicative seasonality model; prediction model; purchasing power; regression prediction method; time series; Silicon carbide; household saving; multiplicative seasonality ARIMA Model; prediction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering and Service Science (ICSESS), 2012 IEEE 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-2007-8
Type :
conf
DOI :
10.1109/ICSESS.2012.6269544
Filename :
6269544
Link To Document :
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