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Pfad: VVZ SoSe 2024 > Verzeichnis der LV gegliedert nach Instituten und Abteilungen

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Nr. LV-Typ(en) LV-Titel
4355 PI Econometrics Präsenz-Modus
Anmeldung über LPIS
vom 01.02.2024 15:00 bis 18.02.2024 23:59
Abmeldung über LPIS
vom 01.02.2024 15:00 bis 10.05.2024 23:59

LV-Leiter/in Assoz.Prof. PD Dr. Zehra Eksi-Altay, BSc.MSc.
Planpunkte Master Econometrics
Semesterstunden 2
Unterrichtssprache Englisch

Termine
Mo, 13.05.2024 13:30-16:00 Uhr TC.1.01 OeNB (Lageplan)
Do, 16.05.2024 10:00-12:30 Uhr TC.1.01 OeNB (Lageplan)
Do, 23.05.2024 10:00-13:00 Uhr TC.1.02 (Lageplan)
Mo, 27.05.2024 13:30-16:30 Uhr TC.1.01 OeNB (Lageplan)
Mo, 03.06.2024 13:30-16:00 Uhr TC.2.02 (Lageplan)
Do, 06.06.2024 10:00-12:30 Uhr TC.1.01 OeNB (Lageplan)
Mo, 10.06.2024 13:30-16:00 Uhr TC.1.01 OeNB (Lageplan)
Do, 13.06.2024 10:00-12:30 Uhr TC.1.01 OeNB (Lageplan)
Do, 20.06.2024 10:00-12:00 Uhr TC.0.02 (Lageplan)
Termindownload (ical) | Termine abonnieren

Weitere Informationen https://learn.wu.ac.at/vvz/24s/4355

Kontakt:
zehra.eksi@wu.ac.at
Inhalte der LV:
This course covers basic topics in econometrics with a focus on applications in finance.
Lernergebnisse (Learning Outcomes):

After completing this course participants will

  • have the ability to apply and interpret the results of regression analyses
  • be familiar with key aspects relevant for the specification of a regression model
  • understand the relevance and implications of various assumptions in each step of the analysis
  • know why and how specific properties of regression residuals must be tested
  • understand the consequences of violations of certain assumptions, and know how to account for them
  • be familiar with basic definitions of financial returns, and able to derive and interpret their empirical (dynamic) properties
  • know how to distinguish non-stationary from stationary series and how to apply unit-root tests
  • understand the purpose and the basic principles of GARCH models, and how to estimate and test such models
Regelung zur Anwesenheit:

Participants are required to attend each class, except for serious illness and/or important private concerns. This means that students should attend at least 80% of all lectures, at most one lecture can be missed.

Lehr-/Lerndesign:

The course is taught using a combination of lectures and practical examples demonstrated in class. The lectures are aimed at establishing a sound understanding of the main ideas and basic principles of econometric methods and analyses. Special emphasis is put on applications using financial data.

     

    Leistung(en) für eine Beurteilung:
    • 30% of the final grade is based on the midterm exam.
    • 40% of the final grade is based on the final exam.
    • 30% of the final grade is based on homework assignments. Homework assignments can be done in groups consisting of up to 3 members. Each member of a group must be able to explain all aspects of an assignment (i.e. group members must not only do parts of an assignment (i.e. must not share the workload); all group members should work jointly on the assignment and must take full responsibility).

    Grading scheme:

    • 1 if final score >= 0.875
    • 2 if final score < 0.875 and >=0.75
    • 3 if final score < 0.75 and >=0.625
    • 4 if final score < 0.625 and >=0.5
    • 5 if final score < 0.5

     

    Zuletzt bearbeitet: 12.02.2024 10:44

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