Forecasting

Catalog description

This course will build on students’ understanding of statistics and basic econometrics to develop further the empirical model building skills they have acquired previously. The course will provide an overview of classical and modern approaches to forecasting in business, economics, and finance. Topics include regression analysis, exponential smoothing and filtering, ARIMA models, modeling and forecasting trend and seasonality, evaluating and combining forecasts. Students will also write forecast reports and deliver oral presentations of their forecasts to classmates as well as learn how to critique constructively others’ reports and presentations. Satisfies Applied Mathematics minor requirement. Satisfies Data Science minor requirement. Satisfies the Mathematical and Quantitative Thought requirement Prerequisites & Notes Prerequisite: ECO 204