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Forecasting is an important aid in effective and efficient
planning. It is a current topic of growing important in business
and economic analysis. It is an attempt is predict the future by
examining the past. It consists of generating unbiased estimates of
future magnitude of some variable, on the basis of past and present
knowledge and experience. The present work of the reasearch is
focused on development of some forecasting methods with special
reference to Auto Regressive Integrated Moving Average (ARIMA) and
Artificial Neural Network (ANN) methods along with residual
measures. The empirical study is analyzed based on residual
measures like MSE, RMSE and MAPE. It is shown that ANN out performs
ARIMA in Forecasting stock market indices.
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