wir875 - Forecasting Methods (Complete module description)

Module label	Forecasting Methods
Modulkürzel	wir875
Credit points	6.0 KP
Workload	180 h
Institute directory	Department of Business Administration, Economics and Law (Business Administration and Business Education)
Verwendbarkeit des Moduls	Master Applied Economics and Data Science (Master) > Empirical Methods Master's programme Business Administration: Management and Law (Master) > Schwerpunktmodule UF - VWL Master's Programme Business Informatics (Master) > Module der Wirtschafts- und Rechtswissenschaften (Master) Master's Programme Computing Science (Master) > Module aus anderen Studiengängen
Zuständige Personen	Stecking, Ralf Werner (module responsibility) Lehrenden, Die im Modul (Prüfungsberechtigt)
Prerequisites
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.
Literaturempfehlungen	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
Links
Language of instruction	English
Duration (semesters)	1 Semester
Module frequency	halbjährlich
Module capacity	unlimited

Lehrveranstaltungsform	SWS	Workload of compulsory attendance
Lecture	2	28
Exercises	2	28
Präsenzzeit Modul insgesamt		56 h

Examination	Prüfungszeiten	Type of examination
Final exam of module	end of semester	written exam or oral exam or term paper or seminar paper and presentation