We examine in detail the various attributes of a time series data set for financial returns. We consider multiple time series models in order to determine which will proved the best fit. Particular attention is placed on the mathematical properties of the most common models. Topic addressed include: differencing, stationarity, autocorrelation, lag, acf, partial acf, independence, AR process, MA...