Forecast Model Using Arima for Stock Prices of Automobile Sector

There has been a growing interest in modeling and forecasting stock prices over the past couple of decades. Auto Regressive Integrated Moving Average (ARIMA) models are one of the most important time series models used in financial forecasting over the past three decades. This paper attempts to address the forecasting of stock prices of Automobile sector. The forecasting models ARIMAs are applied to forecast the stock prices. Closer examination suggests that the stock prices are upward trends and could be considered as a worthy investment.