Time Series and Forecasting Model, statistics homework hlep

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Mathematics

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Select a time series of your choice, and explain how you can chose the appropriate forecasting model and how you can build an autoregressive regression model for forecasting your series. Make sure to interpret the components of your suggested model.

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Running head: Time Series and Forecasting Model

Time Series and Forecasting Model

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Time Series and Forecasting Model

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Daily Stock Price time series
How to choose the appropriate model
The appropriate forecasting model to predict Stock Prices can best be chosen using the
Box-Jenkins methodology. Box-Jenkins models are determined by autoregressive parameters (p),
the degree of differencing (d), and the moving average parameters (q). The uniform notation of
the model is ARIMA (p, d, q).
Investi...


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