The module teaches methods and techniques required for utilising time series data. The module is organized as an interaction between theoretical understanding and practical application. The module starts with covering basic univariate time series models used for forecasting. Afterwards, the module teaches various multivariate time series models, aimed at exploring dynamic relationships. The module builds the research foundation of students, which enables them to conduct research of empirical nature.
Upon completion of this course students are expected to be able to deal with real world time-series. They are expected to be able to find relevant data, identify important patterns in the data, and then perform various econometric applications. They are expected to be able to formulate an appropriate empirical model, estimate its parameters, test hypothesis, and evaluate the model.
For information see § 17.
Name of exam | Time series analysis |
Type of exam | Oral exam based on a project |
ECTS | 5 |
Permitted aids | Aids are specified in the course description. |
Assessment | 7-point grading scale |
Type of grading | Internal examination |
Criteria of assessment | The criteria of assessment are stated in the Examination Policies and Procedures |
Danish title | Tidsserieanalyse |
Module code | KAØKO20253 |
Module type | Course |
Duration | 1 semester |
Semester | Autumn
|
ECTS | 5 |
Language of instruction | English |
Location of the lecture | Campus Aalborg |
Responsible for the module | |
Used in |
Education owner | Master of Science (MSc) in Economics |
Study Board | Study Board of Economics (cand.oecon) |
Department | Aalborg University Business School |
Faculty | Faculty of Social Sciences and Humanities |