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Nr. LV-Typ(en) LV-Titel
4406 FS Research Seminar II Hybrid-Modus
Anmeldung über LPIS
vom 01.02.2024 16:00 bis 18.02.2024 23:59
Abmeldung über LPIS
vom 01.02.2024 16:00 bis 27.02.2024 23:59

LV-Leiter/in Univ.Prof. Dr. Kurt Hornik, Univ.Prof. Dr. Rainer Jankowitsch
Planpunkte Master Research Seminar II
Semesterstunden 2
Unterrichtssprache Englisch

Termine
Fr, 01.03.2024 10:30-12:30 Uhr D4.0.127 (Lageplan)
Fr, 08.03.2024 10:30-12:30 Uhr D4.0.127 (Lageplan)
Fr, 15.03.2024 10:30-12:30 Uhr D4.0.127 (Lageplan)
Fr, 22.03.2024 10:30-12:30 Uhr D4.0.127 (Lageplan)
Fr, 12.04.2024 10:30-12:30 Uhr D4.0.127 (Lageplan)
Fr, 19.04.2024 10:30-12:30 Uhr D4.0.127 (Lageplan)
Fr, 26.04.2024 10:30-12:30 Uhr D4.0.127 (Lageplan)
Fr, 03.05.2024 10:30-12:30 Uhr D4.0.127 (Lageplan)
Fr, 10.05.2024 10:30-12:30 Uhr D4.0.127 (Lageplan)
Fr, 17.05.2024 10:30-12:30 Uhr D4.0.127 (Lageplan)
Fr, 24.05.2024 10:30-12:30 Uhr D4.0.127 (Lageplan)
Fr, 31.05.2024 10:30-12:30 Uhr D4.0.127 (Lageplan)
Fr, 07.06.2024 10:30-12:30 Uhr D4.0.127 (Lageplan)
Fr, 14.06.2024 10:30-12:30 Uhr D4.0.127 (Lageplan)
Fr, 21.06.2024 10:30-12:30 Uhr D4.0.127 (Lageplan)
Fr, 28.06.2024 10:30-12:30 Uhr D4.0.127 (Lageplan)
Termindownload (ical) | Termine abonnieren

Weitere Informationen https://learn.wu.ac.at/vvz/24s/4406

Kontakt:
kurt.hornik@wu.ac.at; rainer.jankowitsch@wu.ac.at
Inhalte der LV:

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 Fridays from 09:00 to 10:30 are dealing with StatMath research content, the other units with research in finance. Learning time management on the part of the students is also an important skill of the course.

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 modeling
    • time-series analysis

     

    Lernergebnisse (Learning Outcomes):
    After this course students are able to comprehend and critically discuss current scientific work in the field of finance.
    Regelung zur Anwesenheit:

    A full attendance requirement applies for the selected seminar presentations.

     

    Lehr-/Lerndesign:

    submission of choices, synopses, and final presentations

    Stat/Math: https://www.wu.ac.at/en/statmath/research/resseminar/summer-term-2024/

    VGSF: https://www.vgsf.ac.at/events/speakers-finance-research-seminars/

    Leistung(en) für eine Beurteilung:

    timeline for RS2:

    *June 2: submission of list of 7 papers online (link tba)

    *June 9: selection of a list of 3 from the 7 by Prof. Hornik

    *June 29: submission of synopses for 2 out of 3 (link tba)

    *July 1: presentations via MS Teams (talk ~15 minutes, ~5 minutes for Q&A)

    **************************************

    Close to the end of each semester, students in the science track provide a list of 7 papers/talks presented in the Finance or StatMath research seminars during the semester to Professors Jankowitsch and Hornik (please see above the specific timeline). Please select only the Research Seminar talks that were attended.

    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 answered 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%)

     

    Teilnahmevoraussetzung(en):
    • 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.
    Zuletzt bearbeitet: 10.04.2024 11:04

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