Econometrics and Forecasting

Course Coordinator: Dr Thomas Chan, B. Cog. Sci (HKU); MA, PhD (Boston College)

Course Developers: Chan Chi Shing, The University of Hong Kong; and Michael Ng Chi Man, HKMU

This course is offered to learners who need to use quantitative forecasting techniques in business and economic research. The course contains the discussion of various forecasting models including time series models and their applications in business and economics.

Advisory prerequisite(s)
You are advised to have already studied ECON A231, ECON A232 and ECON A313.

Aims
This course aims to expose students to the basics in econometrics and forecasting. Students will learn how to collect data and how to specify forecasting models in various areas in business and economics. The course also aims to familiarize students with the utilization of computer software in solving forecasting problems.

Contents
The course covers the following topics:

• Forecasting using regression models
• Exponential smoothing
• Autoregressive moving average model
• The management of forecasting

Learning support
There will be six two-hour tutorials and a day school.

Assessment
There are two assignments and a final examination. Students are required to submit assignments via the Online Learning Environment (OLE).

Set book(s)
Wilson, J H and Keating, B (2009) Business Forecasting, 6th edn, McGraw-Hill.