Courses Bachelor Display 2019-2020

Course Description To PDF
Course title Forecasting for Economics and Business
Course code EBC2089
ECTS credits 6,5
Assessment None
Period
Period Start End Mon Tue Wed Thu Fri
4 3-2-2020 3-4-2020 X/E X/E
Level Advanced
Coordinator Alain Hecq
For more information: a.hecq@maastrichtuniversity.nl
Language of instruction English
Goals
Understand the importance of knowing the mechanisms that generate univariate time-series data.
Learn the basic tools for making forecasts including software (E-Views).
Learn and understand methods to investigate dynamic characteristics of time-series data.
Gain practical experience in analysing, modelling and forecasting a time series and reporting the results in course paper.
Description
This course will cover static and dynamic forecasting models, models with trends and seasonals, and cover the Box-Jenkins methodology for modeling cycles in stationary data. The course will provide students with a thorough understanding of time-series and with the empirical skills to estimate, test, and forecast the most appropriate dynamic models.
Literature
The book by Diebold (2014), 'Forecasting' (available online).
Prerequisites
This course can be chosen as an elective by students in the Bachelor program of IBE and IES. Students must have a good and solid foundation in empirical econometrics and applied statistics, in particular statistics including knowledge about the multiple linear regression model.

James H. Stock and Mark W. Watson : Introduction to Econometrics provides a good level indication of the prerequisites knowledge students must have to be able to follow this course successfully.

An advanced level of English.
Teaching methods PBL / Presentation / Lecture / Assignment
Assessment methods Final Paper / Participation / Written Exam
Evaluation in previous academic year For the complete evaluation of this course please click "here"
This course belongs to the following programmes / specialisations
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