Title :
Prediction of Stock Market indices — Using SAS
Author :
Reddy, B. Siddhartha
Author_Institution :
Res. Facilitation Center, IBS Bangalore, Bangalore, India
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;
Conference_Titel :
Information and Financial Engineering (ICIFE), 2010 2nd IEEE International Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-6927-7
DOI :
10.1109/ICIFE.2010.5609262