Analyzing the past data and planning for future is very important for every public and private organizational decisions.
Now a days individuals also using forecasting methods to invest in Stock market. Investments in mutual funds and in registered
companies in companies in stock market is the order of the day. In this paper, advanced forecasting methods are fitted to the
time related stock price data to study its effectiveness in forecasting future events. Auto correlation and standard models have
been analyzed before fitting this model to the above data. The forecasting can be done by using the ARIMA time series(using
auto. arima) model.
