DocumentCode
2692668
Title
Genetic Programming for New Zealand CPI Inflation Prediction
Author
Xie, Huayang ; Zhang, Mengjie ; Andreae, Peter
Author_Institution
Victoria Univ. of Wellington, Wellington
fYear
2007
fDate
25-28 Sept. 2007
Firstpage
2538
Lastpage
2545
Abstract
Reserve Bank of New Zealand (RBNZ) is one of many inflation-targeting central banks. The effective conduct of monetary policy requires the capacity to make accurate short and medium term predictions about price inflation. The RBNZ´s prediction system is very complex, requiring many iterations and significant input from human experts. This paper investigates the capability of Genetic Programming (GP) to predict price inflation over short and medium terms. By using un-preprocessed economic time series over small intervals, the experimental results demonstrate that GP can produce predictions of price inflation with accuracy comparable to the RBNZ´s official prediction system, over both short and medium terms.
Keywords
genetic algorithms; inflation (monetary); pricing; time series; New Zealand Reserve Bank; consumer price index inflation prediction; genetic programming; monetary policy; un-preprocessed economic time series; Computer science; Economic forecasting; Economic indicators; Genetic programming; Macroeconomics; Mathematics; Optical character recognition software; Predictive models; Stability; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2007. CEC 2007. IEEE Congress on
Conference_Location
Singapore
Print_ISBN
978-1-4244-1339-3
Electronic_ISBN
978-1-4244-1340-9
Type
conf
DOI
10.1109/CEC.2007.4424790
Filename
4424790
Link To Document