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Nr. LV-Typ(en) LV-Titel
4407 PI Credit Risk Präsenz-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 12.03.2024 23:59

LV-Leiter/in Kevin Kurt, Ph.D.
Planpunkte Master Wahlfach - Advanced Topics in Mathematical Finance
Semesterstunden 2
Unterrichtssprache Englisch

Termine
Fr, 15.03.2024 15:30-18:30 Uhr D4.0.127 (Lageplan)
Fr, 22.03.2024 15:30-18:30 Uhr D4.0.127 (Lageplan)
Fr, 12.04.2024 15:30-18:30 Uhr D4.0.127 (Lageplan)
Fr, 19.04.2024 15:30-18:30 Uhr D4.0.127 (Lageplan)
Fr, 26.04.2024 15:30-18:30 Uhr D4.0.127 (Lageplan)
Fr, 03.05.2024 15:30-17:30 Uhr P TC.3.03 (Lageplan)
Termindownload (ical) | Termine abonnieren

Weitere Informationen https://learn.wu.ac.at/vvz/24s/4407

Kontakt:
kevin.kurt@wu.ac.at
Inhalte der LV:

During this course, students will become acquainted with the essential models and the mathematical tools used in the  modeling of credit risk and in the pricing of credit derivatives. The course will cover both single name and portfolio models. 

Lernergebnisse (Learning Outcomes):

After completing this course, students should be able to:

  • recall  the most important credit derivatives and their use in financial applications;
  • reproduce and understand the mathematical structure of credit risk models
  • understand the mathematical derivation of key pricing formulas;
  • apply the main mathematical conceps needed for credit risk models
  • understand the relevance of dependence in the risk analysis of credit portfolios
  • assess the advantages and limitations of various classes of   credit risk models;

Apart from gaining concrete knowledge and skills, students will have the opportunity to exercise themselves in team work while working on the home assignments and presentationsprojects.

Regelung zur Anwesenheit:

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

Lehr-/Lerndesign:

The course will be taught as a mixture of lectures introducing new material, exercises and paper presentations by (groups of) students.

Leistung(en) für eine Beurteilung:

50% written final exam

35% home assignments (in groups)

15%  paper presentation (in groups)

For passing the course students will have to reach an overal score of at least 50% and  a minimum score of 40% in the final exam. 

Zuletzt bearbeitet: 09.11.2023 09:48

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