Courses NonDegree Display 2016-2017
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| Course Description | To PDF | |||||||||||||||||||||||||||||||||||||||
| Course title | Forecasting for Economics and Business | |||||||||||||||||||||||||||||||||||||||
| Course code | EBC2089 | |||||||||||||||||||||||||||||||||||||||
| ECTS credits | 6,5 | |||||||||||||||||||||||||||||||||||||||
| Assessment | Whole/Half Grades | |||||||||||||||||||||||||||||||||||||||
| Period |
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| Level | Intermediate | |||||||||||||||||||||||||||||||||||||||
| Coordinator |
Gerard Pfann For more information: g.pfann@maastrichtuniversity.nl |
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| Language of instruction | English | |||||||||||||||||||||||||||||||||||||||
| Goals |
Understand the importance of knowing the mechanism that generated the data regarding the phenomenon about which a forecast is required;
Learn the basic tools for making forecasts including software (E-Views) Learn and understand methods to investigate dynamic relationships between a series and influential exogenous variables; Gain practical experience in analysing, modelling and forecasting a time series and reporting the results in course paper. |
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| Description |
This course will cover static 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 dynamic time-series and with the empirical skills to estimate, test, and forecast the most appropriate dynamic model.
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| Literature |
The book by Diebold (2014), 'Forecasting' (available online).
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| Prerequisites |
This course can be chosen as an elective by students in the Bachelor program of IB, INF, IBE and IES. Students are expected to have a good foundation in quantitative methods, in particular statistics including knowledge about the multiple regression model.
Bowerman and O’Connell (2007), Business Statistics in Practice, 4th ed., McGraw-Hill, Chapters 1 to 12 give a good indication of the topics that students should have covered in earlier courses. An advanced level of English. |
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| 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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