Courses Bachelor Display 2020-2021

Course Description To PDF
Course title Time Series Modelling
Course code EBC2086
ECTS credits 6,5
Assessment Whole/Half Grades
Period
Period Start End Mon Tue Wed Thu Fri
1 31-8-2020 16-10-2020 X X
Level Intermediate
Coordinator Alain Hecq
For more information: a.hecq@maastrichtuniversity.nl
Language of instruction English
Goals
Enable economic students to perform an empirical analysis of time series using the correct tools. Introduction to quantitative methods and econometrics.
Description
PLEASE NOTE THAT THE INFORMATION ABOUT THE TEACHING AND ASSESSMENT METHOD(S) USED IN THIS COURSE IS WITH RESERVATION. THE INFORMATION PROVIDED HERE IS BASED ON THE COURSE SETUP PRIOR TO THE CORONAVIRUS CRISIS. AS A CONSEQUENCE OF THE CRISIS, COURSE COORDINATORS MAY BE FORCED TO CHANGE THE TEACHING AND ASSESSMENT METHODS USED. THE MOST UP-TO-DATE INFORMATION ABOUT THE TEACHING/ASSESSMENT METHOD(S) WILL BE AVAILABLE IN THE COURSE SYLLABUS.

The objective of this course is to give students in the Bachelors program of Economics an introduction to modelling univariate and multivariate time series in economics. The topics covered will include modelling non-stationary time series, Granger causality, co-integration, ARIMA, seasonality, ARCH, Unit roots.
Literature
Diebold, F. (2017), Econometrics (available online).
Diebold, F. (2017), Forecasting (available online).
Prerequisites
The Quantitative Methods 3 course for EC, or one of the courses Empirical Econometrics for Business, Empirical Econometrics or Forecasting for international business.
Assuming a basic understanding of multiple regression analysis (such as with an introductory course on econometric/quantitative methods), this accessible introduction to time series analysis shows how to develop models capable of forecasting, interpreting and testing hypothesis concerning economic data using well established as well as modern techniques. Based on real-world data and with the help of interactive software such as Eviews we will study and apply key concepts such as ARIMA, unit roots, causality, cointegration, deterministic and stochastic, trends, volatility, outliers, structural breaks, seasonality, vector autoregressive models.
an advanced level of English.
Teaching methods (indicative; course manual is definitive) PBL / Presentation / Lecture / Assignment / Groupwork
Assessment methods (indicative; course manual is definitive) Final Paper / Attendance / Participation / Oral Exam / Presentation
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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Bachelor Economics and Business Economics - Emerging Markets Year 3 Elective Course(s)
Bachelor Economics and Business Economics - Economics and Management of Information Year 2+3 Quantitative Economics Elective(s)
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Bachelor International Business - Emerging Markets Year 3 Elective Course(s)
Bachelor International Business Year 3 QE Elec(s) - Maj Accounting
Bachelor International Business Year 3 QE Elec(s) - Maj Finance
Bachelor International Business Year 3 QE Elec(s) - Maj Inf Mgmt
Bachelor International Business Year 3 QE Elec(s) - Maj Marketing
Bachelor International Business Year 3 QE Elec(s) - Maj Org
Bachelor International Business Year 3 QE Elec(s) - Maj SCM
Bachelor International Business Year 3 QE Elec(s) - Maj Strategy
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