Nr. | LV-Typ(en) | LV-Titel | |
5775 | PI | Advanced Topics in Banking
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 08.03.2024 23:59 |
LV-Leiter/in | Univ.Prof. Dr. Rainer Jankowitsch |
Planpunkte Master | Wahlfach - Advanced Topics in Financial Economics |
Semesterstunden | 2 |
Unterrichtssprache | Englisch |
Termine | ||||
Mo, | 11.03.2024 | 09:00-13:00 Uhr | D4.0.127 (Lageplan) | |
Mo, | 18.03.2024 | 09:00-13:00 Uhr | D4.0.127 (Lageplan) | |
Mo, | 08.04.2024 | 09:00-13:00 Uhr | D4.0.127 (Lageplan) | |
Mo, | 15.04.2024 | 09:00-13:00 Uhr | D4.0.127 (Lageplan) | |
Mo, | 22.04.2024 | 09:00-13:00 Uhr | D4.0.127 (Lageplan) | |
Mo, | 29.04.2024 | 09:00-11:00 Uhr | P | TC.1.01 OeNB (Lageplan) |
Mo, | 06.05.2024 | 09:00-11:00 Uhr | P | TC.4.05 (Lageplan) |
Termindownload (ical) | Termine abonnieren |
Weitere Informationen | https://learn.wu.ac.at/vvz/24s/5775 |
Kontakt: | ||
rainer.jankowitsch@wu.ac.at | ||
Inhalte der LV: | ||
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Lernergebnisse (Learning Outcomes): | ||
After completing this course the student will have the ability to · explain the institutional background for modern risk management in the banking industry, · identify risks · quantify risks (focus is on credit risk) · aggregate risks and derive an appropriate capital allocation · apply a risk-based pricing and management · critically review models and concepts · efficiently work in groups |
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Regelung zur Anwesenheit: | ||
The standard attendance requirement (80%) applies, i.e., you can miss one unit. |
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Lehr-/Lerndesign: | ||
During the lecture, the students get the relevant information based on the presentation of the slides. Thereafter, case studies and examples are used to gain a deeper understanding of the content. |
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Leistung(en) für eine Beurteilung: | ||
10% Take-Home Excersise based on Required Reading 25% Case Study 1 (Group Work) 25% Case Study 2 (Group Work) 40% Final Exam |
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Teilnahmevoraussetzung(en): | ||
· Good knowledge of financial markets and instruments · Good knowledge of statistical inference · Basic knowledge of corporate finance · Excellent command of R |
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