ARIMA Models: Stock Price Forecasting with Python and R

ARIMA (Autoregressive Integrated Moving Average) is a major tool used in time series analysis to attempt to forecast future values of a variable based on its present value. For this particular example, I use a stock price dataset of Johnson & Johnson (JNJ) from 2006-2016, and use the aforementioned model to conduct price forecasting on this time series.

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