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ARIMA Model Forecasting

#economics #statistics #forecasting

Describe the process of building an ARIMA model for stock prices.

Outline the step-by-step procedure to build an ARIMA(1,1,1) model for a non-stationary financial time series. Include details on how to determine the order of integration (d) using the Augmented Dickey-Fuller test, how to identify p and q parameters via ACF and PACF plots, and how to diagnose model residuals for white noise.