KTTS4120 Applied Time Series Analysis for Financial Economics (5 cr)

Study level:
Advanced studies
Grading scale:
Responsible organisation:
Jyväskylä University School of Business and Economics
Curriculum periods:
2020-2021, 2021-2022, 2022-2023, 2023-2024


The course is an introduction to the econometric analysis of time series data, focusing especially on applications for financial economics. After a thorough recap of the standard classical linear regression model, the students will apply the tools of time series analysis to financial economic problems, rather than attempt to formally prove theoretical propositions. However, the ability to apply these techniques often requires knowledge of the underlying theory. The course begins with an overview of the nature of time series data and a review of some necessary statistical tools. The analysis of univariate and multivariate time-series models will be covered. We especially focus on stationary linear, i.e. the autoregressive-moving average (ARMA) models, non-linear models of conditional heteroscedasticity (ARCH and GARCH type models) and multivariate time series analysis in the form of vector autoregressive (VAR) models. In addition, the principal tools required for the analysis of non-stationary time series data are provided in the form of Engle-Granger and Johansen procedures.

Learning outcomes

On successful completion of the course, the students
• are able to identify single variable and multivariate models and methods for analysis of financial economic time series
• recognize the models for volatility and asset market risk
• are able to scrutinize empirically some fundamental equilibrium models for financial markets using time series data
• understand the differences in analyzing the basic models for stationary and non-stationary time series data

Additional information

Recommended timing for BIF students: 1st year.
Recommended timing for Finnish M.Sc. degree students: 3rd or 4th year.

Study materials

Lecture notes, material for demonstrations and other relevant material distributed through Moodle


  • Gujarati, D. 2015. Econometrics by Example, 2nd ed; ISBN: 978-1137375018
  • Stock, J.H. & Watson, M.W. 2015. Introduction to Econometrics, 3rd ed; ISBN: 978-0133486872
  • Cuthbertson, K. & Nitzsche, D. 2004. Quantitative Financial Economics, Stocks, Bonds & Foreign Exchange, 2nd ed; ISBN: 978-0470091715
  • Brooks, C. 2019. Introductory Econometrics for Finance, 4th ed; ISBN: 978-1108436823
  • Patterson, K. 2000. An Introduction to Applied Econometrics: A Time Series Approach; ISBN: 978-0312235130
  • Enders, W. 2015. Applied Econometric Time Series. 4th ed; ISBN: 978-1118808566
  • Tsay, R. S. 2010. Analysis of Financial Time series. 3rd; ISBN: 978-118017098

Completion methods

Method 1

Evaluation criteria:
Mandatory Home Assignment, grade 0 - 5
Select all marked parts
Parts of the completion methods

Teaching (5 cr)

Participation in teaching
Grading scale: