Courses Bachelor Display 2017-2018
|Course Description||To PDF|
|Course title||Forecasting for Economics and Business|
For more information: email@example.com
|Language of instruction||English|
Understand the importance of knowing the mechanisms that generate 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.
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.
The book by Diebold (2014), 'Forecasting' (available online).
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.
|Teaching methods||Presentation / Assignment|
|Assessment methods||Final Paper / Participation|
|Evaluation in previous academic year||For the complete evaluation of this course please click "here"|
|This course belongs to the following programmes / specialisations||