• DocumentCode
    168348
  • Title

    Enhancing the Accurate of Grey Prediction for GDP Growth Rate in Vietnam

  • Author

    Chia-Nan Wang ; Van-Thanh Phan

  • Author_Institution
    Dept. of Ind. Eng. & Manage., Nat. Kaohsiung Univ. of Appl. Sci., Kaohsiung, Taiwan
  • fYear
    2014
  • fDate
    10-12 June 2014
  • Firstpage
    1137
  • Lastpage
    1139
  • Abstract
    Based on the grey theory, grey prediction models, which are GM (1, 1), have been adopted to predict the Vietnamese GDP growth rate index and modified GM (1, 1) using Fourier series called "FRMGM (1, 1)" for improving the accuracy of forecast model. A forecasting the growth rate of Vietnam GDP from 2013-2015 has also been conducted based on the previous data (from 2000 to 2012) to serve as a reference for government authority in formulating policies as well as orienting development in the future. All data source is collected from the website of the Asian Development Bank. Through simulation results, this study showed that the FRMGM (1, 1) is an excellent model in forecasting models using with average accuracy of predict is 92.72%. Hence, the FRMGM (1, 1) model is strongly suggested in forecasting the GDP growth rate in Vietnam.
  • Keywords
    Fourier series; economic forecasting; economic indicators; grey systems; Asian Development Bank Website; FRMGM (1, 1); Fourier series; Vietnamese GDP growth rate index; data source collection; forecast model accuracy improvement; government authority; grey prediction accuracy enhancement; grey theory; modified GM (1, 1); Biological system modeling; Economic indicators; Forecasting; Indexes; Mathematical model; Modeling; Predictive models; 1); 1) "FMGM (1; 1)"; Fourier Residual Modified GM (1; GDP growth rate index; GM (1; Vietnam;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer, Consumer and Control (IS3C), 2014 International Symposium on
  • Conference_Location
    Taichung
  • Type

    conf

  • DOI
    10.1109/IS3C.2014.295
  • Filename
    6846087