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19.08.2022 01:44:25
wir875 - Forecasting Methods (Complete module description)
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Module label Forecasting Methods
Module code wir875
Credit points 6.0 KP
Workload 180 h
Institute directory Department of Business Administration, Economics and Law (Business Administration and Business Education)
Applicability of the module
  • Master Applied Economics and Data Science (Master) > Empirical Methods
  • Master's Programme Business Administration, Economics and Law (Master) > Schwerpunktmodule UF - VWL
  • Master's Programme Business Administration, Economics and Law (Master) > Schwerpunkt "Volkswirtschaftslehre" (VWL) (MPO2020)
  • Master's Programme Business Informatics (Master) > Module der Wirtschafts- und Rechtswissenschaften (Master)
  • Master's Programme Computing Science (Master) > Nicht Informatik
Responsible persons
Stecking, Ralf Werner (Module responsibility)
Lehrenden, Die im Modul (Authorized examiners)
Skills to be acquired in this module
With successful completion of the course, students shall:
  • be aware of and be able to evaluate quantitative forecasting methods.
  • be able to select adequate methods in relevant fields of application, like time series and classification analysis.
  • be able to run computer-aided analyses and to interpret the results properly.
Module contents
Various aspects of quantitative forecasting methods such as:
  • Time series components,
  • Trend and seasonal methods,
  • Stationarity,
  • Multivariate forecasting methods,
  • Autoregressive and moving average processes,
  • Box-Jenkins method.
Reader's advisory
Abraham, B. und Ledolter, J. (2005): Statistical Methods for Forecasting, New York

Hamilton, J.D. (1994): Time series analysis, Princeton NJ

Kohler, U. und Kreuter, F. (2008): Datenanalyse mit Stata : allgemeine Konzepte der Datenanalyse und ihre praktische Anwendung, 3. Aufl., München

Kreiß, J.-P. und Neuhaus, G. (2006): Einführung in die Zeitreihenanalyse, Berlin

Makridakis, S., Wheelwright, S.C., MacGee, V.E. (1983): Forecasting : methods and applications, New York

Neusser, K. (2011): Zeitreihenanalyse in den Wirtschaftswissenschaften, 3. Aufl., Wiesbaden

Schira, J. (2016): Statistische Methoden der VWL und BWL, 5. Aufl., München

Schlittgen, R. und Streitberg, B.H.J. (2001): Zeitreihenanalyse, München

Schlittgen, R. (2001): Angewandte Zeitreihenanalyse, München

Thome, H. (2005): Zeitreihenanalyse, München
Language of instruction English
Duration (semesters) 1 Semester
Module frequency halbjährlich
Module capacity unlimited
Modullevel / module level ---
Modulart / typ of module je nach Studiengang Pflicht oder Wahlpflicht
Lehr-/Lernform / Teaching/Learning method
Vorkenntnisse / Previous knowledge
Course type Comment SWS Frequency Workload of compulsory attendance
2 28
2 28
Total time of attendance for the module 56 h
Examination Time of examination Type of examination
Final exam of module
end of semester
written exam or
oral exam or
term paper or
seminar paper and presentation