Credits: 6

Schedule: 25.02.2020 - 27.05.2020

Teacher in charge (valid 01.08.2018-31.07.2020): 

Tomi Seppälä

Teaching Period (valid 01.08.2018-31.07.2020): 

Period IV +  3 weeks in period V (2018-2019)

Period IV + 3 weeks in period V (2019-2020)

Learning Outcomes (valid 01.08.2018-31.07.2020): 

Students learn
- statistical modeling
- to understand how to analyze time series data and make forecasts in economics and business
- to design statistical research.

Content (valid 01.08.2018-31.07.2020): 

Topics in linear models and time series analysis: special estimation methods of regression models, ARMA and ARIMA models, forecasting, stationarity, integrated series, cointegration, ARCH and GARCH models, multivariate models, panel data.

Assessment Methods and Criteria (valid 01.08.2018-31.07.2020): 

75% exam
25% assignments

Workload (valid 01.08.2018-31.07.2020): 

Contact teaching 36 h
Independent work 121 h
Exam 3 h
Total 160 h (ECTS)

Study Material (valid 01.08.2018-31.07.2020): 

1. Brooks, Chris (2008) Introductory econometrics for finance, 2nd edition or later (selected parts)
2. Enders, Walter (2010).: Applied Econometric Time Series, 3rd Edition or later (selected parts)
3. Verbeek, Marno (2004).: A Guide to Modern Econometrics. 2nd Edition (additional readings)

Course Homepage (valid 01.08.2018-31.07.2020):

Prerequisites (valid 01.08.2018-31.07.2020): 

Undergraduate mathematics and statistics and an introductory course in econometrics or regression analysis. More specifically, knowledge of statistical testing and linear regression models are essential. At the minimum one course in university mathematics and two courses in university statistics is assumed.

Grading Scale (valid 01.08.2018-31.07.2020): 


Registration for Courses (valid 01.08.2018-31.07.2020): 

Via WebOodi.


Registration and further information