Introduction to Forecasting in Economics and Finance|
Spring 2019 not offered
|Certificates: Applied Data Science|
|Course Cluster: Data Analysis Minor|
This course is an introduction to forecasting widely used by economists; forecasts are constantly made in business, finance, economics, government, and many other fields, and they guide many important decisions. The course focuses on core modeling and forecasting methods that are very widely applicable. We first introduce several fundamental issues relevant to any forecasting exercise, and then treats the construction, use, and evaluation of modern forecasting models.
Students work on individual research projects and learn how to build and use forecasting models.
||Gen Ed Area Dept:
|Course Format: Lecture||Grading Mode: Graded|
||Fulfills a Major Requirement for: (CADS)(DATA-MN)(ECON-MN)(ECON)
Eric Ghysels and Massimiliano Marcellino, AN INTRODUCTION TO FORECASTING IN ECONOMICS AND FINANCE.
|Examinations and Assignments: |
10 homework assignments, midterm, final, and a research project.
|Additional Requirements and/or Comments: |
Students will use the statistical computer program Eviews. There will be 2-3 workshops on how to use Eviews scheduled at times outside the course meeting times.
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