• 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