Syllabus

Title
0587 Y2STO Research Seminar I
Instructors
Univ.Prof. Dr. Kurt Hornik, Univ.Prof. Dr. Rainer Jankowitsch
Type
FS
Weekly hours
2
Language of instruction
Englisch
Registration
09/01/21 to 09/24/21
Registration via LPIS
Notes to the course
Subject(s) Master Programs
Dates
Day Date Time Room
Friday 10/01/21 10:45 AM - 12:30 PM D3.0.225
Friday 10/08/21 09:00 AM - 10:30 AM TC.3.21
Friday 10/08/21 10:45 AM - 12:30 PM D3.0.225
Friday 10/15/21 09:00 AM - 10:30 AM D5.0.002
Friday 10/15/21 10:45 AM - 12:30 PM D3.0.225
Wednesday 10/20/21 06:15 PM - 07:45 PM Online-Einheit
Friday 10/22/21 10:45 AM - 12:30 PM D3.0.225
Friday 10/29/21 10:45 AM - 12:30 PM D3.0.225
Friday 11/05/21 09:00 AM - 10:30 AM TC.3.01
Friday 11/05/21 10:45 AM - 12:30 PM D3.0.225
Friday 11/12/21 09:00 AM - 10:30 AM TC.3.01
Friday 11/12/21 10:45 AM - 12:30 PM D3.0.225
Friday 11/19/21 09:00 AM - 10:30 AM TC.3.21
Friday 11/19/21 10:45 AM - 12:30 PM D3.0.225
Friday 11/26/21 10:45 AM - 12:30 PM Online-Einheit
Wednesday 12/01/21 06:00 PM - 07:30 PM Online-Einheit
Friday 12/03/21 10:45 AM - 12:30 PM Online-Einheit
Friday 12/10/21 09:00 AM - 10:30 AM Online-Einheit
Friday 12/10/21 10:45 AM - 12:30 PM Online-Einheit
Friday 12/17/21 10:45 AM - 12:30 PM Online-Einheit
Friday 01/14/22 10:45 AM - 12:30 PM D3.0.225
Friday 01/21/22 10:45 AM - 12:30 PM D3.0.225
Friday 01/28/22 10:45 AM - 12:30 PM D3.0.225
Contents

Detailed information about the schedule in the current semester can be found on the relevant seminar pages (just click on the links below).

Units on Friday from 09:00 to 10:30 or Wednesday from 18:00 to 19:30 are dealing with StatMath research contents, the other units with research in finance.

General table of contents:

Finance Research Seminar:

  • Corporate Finance
  • Asset Pricing
  • Quantitative Methods in Finance

 

StatMath Research Seminar:

    • applied statistical research in economics, in finance, and in the social sciences
    • Bayesian methods
    • computational statistics
    • mathematical statistics
    • mathematical finance
    • Monte Carlo methods
    • optimization
    • stochastic modelling
    • time series analysis

     

    Learning outcomes

    After this course students are able to comprehend and critically discuss current scientific work in the fields of finance and/or statistics and mathematics.

    Attendance requirements

    Full attendance is compulsory. This means that students should attend at least 80% of all lectures, at most one lecture can be missed.

    Teaching/learning method(s)
    Paper presentations and discussion.
    Assessment

    Close to the end of each semester, students in the science track provide a list of 10 papers/talks presented in the Finance or StatMath research seminars during the semester to Professors Jankowitsch and Hornik.

    They will then randomly pick 3 papers/talks, from which in turn students can pick 2 (out of the three) for elaborating and producing a written synopsis (about 2 pages each) of the paper/talk.

    The synopses are to be presented to and discussed with Professors Jankowitsch and Hornik at the end of the semester.In addition, questions directly regarding the talk have to be answer during this discussion, e.g.: What were the most critical comments made?

    The grade consists of three parts:

    - Quality of synopsis 1 (20%)

    - Quality of synopsis 2 (20%)

    - Quality of the presentation (60%)

     

    Prerequisites for participation and waiting lists
    • Successful completion of at least 42 ECTS credits from the compulsory common courses in the first year of studies.
    • Decision for the Science Track after the first year.
    Availability of lecturer(s)

    kurt.hornik@wu.ac.at, rainer.jankowitsch@wu.ac.at

    Last edited: 2021-06-16



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