Syllabus

Title
4629 S4EMF2 Empirical Methods in Finance II
Instructors
Dr. Oliver Rehbein
Contact details
Type
PI
Weekly hours
2
Language of instruction
Englisch
Registration
02/01/24 to 02/18/24
Registration via LPIS
Notes to the course
Subject(s) Master Programs
Dates
Day Date Time Room
Tuesday 03/12/24 02:00 PM - 06:00 PM D4.0.136
Tuesday 03/19/24 09:00 AM - 12:30 PM D3.0.237
Tuesday 04/09/24 09:00 AM - 11:15 AM D4.0.032
Tuesday 05/07/24 09:00 AM - 11:15 AM D4.0.032
Contents

Find and answer your own empirical research question using the techniques learnt in the first part of the course.

The following is the list of steps that we will go through:

  1. Identify a topic that interests you
  2. Develop your own research question
  3. Identify a strategy to find causal effects
  4. Find & analyze data
  5. Write a short research paper about the question and your findings
Learning outcomes

During the course, the students will learn to:

  • Asking an empirical research question
  • Finding data
  • Analyzing data
    • using regression
    • using methods to establish causality if possible
Attendance requirements

There are three classes (largely to recap last semester). Attendance is mandatory.

Students are then expected to work (in groups) on their research projects, with regular in-person meetings.

At the end of the semester (typically late June) there will be a final meeting (attendance mandatory!), where the students present their papers and discuss a paper of another group.

 

Teaching/learning method(s)

Students are required to know some statistical programming language or acquire that knowledge. Online resources to that end will be provided.

 

Students will also learn to asses research by reading another groups paper at the end of the semester.

Assessment

Students are graded based on:

  • Research Paper (50%)
  • Presentation of the paper at the end of the semester (30%)
  • Discussion of another group's paper (20%)
Prerequisites for participation and waiting lists

Empirical Methods in Finance I or equivalent knowledge of statistical methods.

Readings

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Last edited: 2024-01-15



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