• DocumentCode
    2666739
  • Title

    Prediction of Stock Market indices — Using SAS

  • Author

    Reddy, B. Siddhartha

  • Author_Institution
    Res. Facilitation Center, IBS Bangalore, Bangalore, India
  • fYear
    2010
  • fDate
    17-19 Sept. 2010
  • Firstpage
    112
  • Lastpage
    116
  • Abstract
    The SAS© System has a powerful suite of tools for analyzing and forecasting data taken over a selected time period. The paper concentrates more on Stock Market (NSE-Nifty, India) & its prediction, by and large a risky venture. Knowledgeable investors base their predictions either on the basis of Fundamental Analysis, or Technical Analysis, or both. But most of the investors rely on the tips given by the experts for Stock Market Predictions. However there are many such models available such as Interrupted Time Series, Auto Regression (AR), Exponential Smoothening, Moving Average (MA), and Distributed Lags Analysis. The procedures FORECAST, ARIMA process will be illustrated.
  • Keywords
    autoregressive moving average processes; investment; stock markets; time series; ARIMA process; FORECAST; NSE; SAS; autoregression; distributed lags analysis; exponential smoothening; interrupted time series; moving average process; stock market indices; stock market prediction; Biological system modeling; Forecasting; Indexes; Predictive models; Real time systems; Stock markets; Time series analysis; Time series analysis; forecasting; prediction; stock market prediction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Financial Engineering (ICIFE), 2010 2nd IEEE International Conference on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-6927-7
  • Type

    conf

  • DOI
    10.1109/ICIFE.2010.5609262
  • Filename
    5609262