Selection of Suitable Forecasting Method for stock Price Index Data

Abstract

Suitable forecasting method is selected by applying different forecasting models to the Sleek Price Index data. The data Is collected from Lahore Stock Exchange, and is comprised of dally price index values, Different smoothing methods and ARIMA models have been applied to forecast future values. These models have been compared on the basis of mean square error. The model having minimum mean square error is suggested as the bast fitted model.