BANA 5005

This course will examine the key features of time series data and the models that can be used to forecast time series data, including ARIMA models and error, trends, and seasonality models. Business applications of time series models will be examined. The emphasis will be on the application of the methods and interpretation of results through scenarios and cases, rather than on the underlying theory. Students will be asked to complete at least one assessment piece that requires them to apply the concepts learnt in the course to their major. Prerequisite(s): Admission to a graduate program