• DocumentCode
    2105457
  • Title

    Price Forecast for Gold Futures Based on GA-BP Neural Network

  • Author

    Liu, Chunmei

  • Author_Institution
    Sch. of Inf. Manage. & Eng., Shanghai Univ. of Finance & Econ., Shanghai, China
  • fYear
    2009
  • fDate
    20-22 Sept. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    China´s gold futures have listed in Shanghai Finance Futures Exchange in January 2008. The currency and financial attributes makes the gold futures more important than the general commodity futures. So the gold futures´ research has important theoretical and practical significance. By using genetic algorithms (GA) to optimize the value of linking weight of the BP neural network ,and then constructing the genetic algorithm BP neural network(GA-BP) forecasting model, selecting the New York Futures Exchange´s the April 2008 delivery gold futures contract as the empirical research´s object, using the Matlab software to simulate the forecasting model. The simulation results show that the forecasting model gets properly acceptable results.
  • Keywords
    backpropagation; genetic algorithms; neural nets; pricing; China gold future; GA-BP forecasting model; GA-BP neural network; Matlab software; New York Futures Exchange; Shanghai Finance Futures Exchange; genetic algorithm; linking weight value; price forecast; Artificial neural networks; Contracts; Economic forecasting; Finance; Genetic algorithms; Gold; Mathematical model; Neural networks; Predictive models; Pricing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management and Service Science, 2009. MASS '09. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4638-4
  • Electronic_ISBN
    978-1-4244-4639-1
  • Type

    conf

  • DOI
    10.1109/ICMSS.2009.5302242
  • Filename
    5302242