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Methods and Databases in Empirical Finance

MGTHN0185Methods6 ECTSEnglishwinter semesterProfessur für Finance (Prof. Müller) (TUM Campus Heilbronn)
AI-edited module sheet. Based on the TUMonline module description, edited for readability.Original in TUMonline

What it is about

You will learn the basics of empirical capital market research: theoretical concepts, common methods for data analysis, as well as handling important financial databases (e.g., Bloomberg, Thomson Reuters, WRDS) and relevant software tools. In the end you will be able to procure, preprocess and analyze data with appropriate analytical procedures, and practically work on simple empirical financial questions.

What you will be able to do

  • Work with various capital market databases
  • Import, process and analyze data from different systems
  • Apply different analytical methods
  • Acquire fundamental skills for empirical research projects in Finance

What the module consists of

  • VorlesungIntroduction to theoretical concepts and empirical methods
  • Übung/Praktische SitzungenPresentation and use of databases as well as practical application in project tasks

Teaching method

  • VorlesungConveyance of theoretical content
  • Begleitende Übungen mit AufgabenIndependent learning of handling databases and software through practical tasks
  • Projektbasierte ÜbungenApplying what has been learned from data collection through processing to analysis
  • Kollaboratives ArbeitenJoint development of concepts and problem solving during the sessions

Dates

LectureMethods and Databases in Empirical Finance (MGTHN0185) - Lecture

  • Wed10:15–11:45D.1.08, Seminarraum (1901.01.108)
    14× · 14.10.–03.02.
    • 14.10.
    • 21.10.
    • 04.11.
    • 11.11.
    • 18.11.
    • 25.11.
    • 02.12.
    • 09.12.
    • 16.12.
    • 23.12.
    • 13.01.
    • 20.01.
    • 27.01.
    • 03.02.

ExerciseMethods and Databases in Empirical Finance (MGTHN0185) - Exercise

  • Wed12:15–13:45D.1.08, Seminarraum (1901.01.108)
    15× · 14.10.–03.02.
    • 14.10.
    • 21.10.
    • 28.10.
    • 04.11.
    • 11.11.
    • 18.11.
    • 25.11.
    • 02.12.
    • 09.12.
    • 16.12.
    • 23.12.
    • 13.01.
    • 20.01.
    • 27.01.
    • 03.02.

From the current semester, not binding.

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Official page in TUMonline · Details are not binding.