• DocumentCode
    3483855
  • Title

    Future trend of the Shanghai stock market

  • Author

    Wei Wang ; Lin, F.C.

  • Author_Institution
    Dept of Math & Comput. Sci., Univ. of Maryland Eastern Shore, Princess Anne, MD, USA
  • Volume
    5
  • fYear
    2002
  • fDate
    18-22 Nov. 2002
  • Firstpage
    2320
  • Abstract
    In the past decade the dynamic Chinese economy is the fastest growing in the world. If this momentum is maintained, China may replace Japan as the World´s second largest economy in the foreseeable future. In the process, Shanghai metamorphosed into a futuristic, vibrant metropolis with notable cultural and financial institutions of world-class format. It is of interest to monitor its progress. The Shanghai Stock Exchange (SSE) was opened in Dec 1990 as an experiment in China´s transition to a mixed economy. In spite of its brief history, the index is nonetheless a measure of investors´ confidence. We investigate the trend of the Index by inputting the available data into two models: (1) the stochastic SARIMA model and (2) the Backprop Neural Network model. Not surprisingly, these models give divergent predictions. In general, one can characterize the SARIMA model as more optimistic. This is not surprising, since the past performance of the SSE has been bullish. The neural network models, however, give a general downward trend. Comparison with actual data in a 48 weeks forecast period shows close agreement with our predictions.
  • Keywords
    backpropagation; forecasting theory; neural nets; stochastic processes; stock markets; Backprop Neural Network model; Levenberg-Marquardt algorithm; Shanghai Stock Exchange; Shanghai stock market; cultural institutions; dynamic Chinese economy; financial forecast; financial institutions; future trend; futuristic vibrant metropolis; stochastic SARIMA model; Biological neural networks; Cities and towns; Computer science; Cultural differences; Economic forecasting; Economic indicators; History; Investments; Monitoring; Stock markets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on
  • Print_ISBN
    981-04-7524-1
  • Type

    conf

  • DOI
    10.1109/ICONIP.2002.1201908
  • Filename
    1201908