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Nr. LV-Typ(en) LV-Titel
5670 PI Financial Markets and Instruments 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 09.03.2024 23:59

LV-Leiter/in Univ.Prof. Dr. Rainer Jankowitsch
Planpunkte Master Financial Markets and Instruments
Semesterstunden 2
Unterrichtssprache Englisch

Termine
Di, 12.03.2024 09:00-13:00 Uhr TC.1.01 OeNB (Lageplan)
Di, 09.04.2024 09:00-13:00 Uhr TC.1.01 OeNB (Lageplan)
Di, 16.04.2024 09:00-13:00 Uhr TC.1.01 OeNB (Lageplan)
Di, 23.04.2024 09:00-13:00 Uhr TC.1.01 OeNB (Lageplan)
Di, 30.04.2024 09:00-13:00 Uhr TC.1.01 OeNB (Lageplan)
Di, 07.05.2024 09:00-10:00 Uhr TC.1.01 OeNB (Lageplan)
Mi, 15.05.2024 09:00-10:00 Uhr TC.2.02 (Lageplan)
Termindownload (ical) | Termine abonnieren

Weitere Informationen https://learn.wu.ac.at/vvz/24s/5670

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

General overview & money markets

Foreign exchange markets

Bond markets & no-arbitrage valuation

Bond characteristics & floating rate notes

Interest swap markets & yield curve estimation

Equity markets & financial futures markets & option markets

Credit markets

Lernergebnisse (Learning Outcomes):

After completing this course the student will have the ability to:

  • recall the institutional features of the most important financial markets and the financial instruments traded therein (money market deposits, FRAs, FX cash and forward transactions, bonds, floating rate notes, interest rate swaps, financial futures, options, single-name credit derivatives, multi-name credit derivatives)
  • differentiate between the organizational forms of trading (OTC vs. exchanges)
  • recognize the relation between financial markets and financial valuation models, in particular the static no-arbitrage framework
  • apply valuation models and risk analysis models for fixed income instruments
  • perform the estimation of yield curves
  • make practical use of financial data series.

This course will also contribute to the student’s ability to:

  • demonstrate effective team skills in order to contribute appropriately to the production of a group output
  • work and communicate effectively in a team situation and to function as a valuable and cooperative team member
  • participate in group discussions/team work
  • Use financial market information for empirical research
Regelung zur Anwesenheit:

There is a full attendance requirement for this course.

The minimum attendance is 80%, i.e. one lecture can be missed.

Lehr-/Lerndesign:

The course is mainly taught using a combination of lectures and mini cases. The lectures are aimed at providing the core information about institutional knowledge and at deducing theoretical results. The mini cases will be worked out and discussed in course and should give the opportunity to apply theoretical knowledge to practical problems and help to comprehend the key ideas of the lectures. At the beginning of the next unit a short test will be used to assess the students’ understanding of the topic.

Leistung(en) für eine Beurteilung:
  • 100% class participation (mini tests)

There will be 5 mini tests. The mini tests will take place at the beginning of each unit, starting with unit 2. Each mini test represents 25% and the best 4 mini tests count (i.e., you can miss / fail one mini test and you still can achieve 100%).

To receive a pass grade, you need to get a minimum of 50%.

Teilnahmevoraussetzung(en):
  • Basic knowledge in linear algebra (matrix operations, systems of linear equations, linear programming)
  • Basic knowledge in analysis (simple calculus)
  • Basic knowledge in statistics (linear regression)
  • Basic knowledge in computing (solving nonlinear optimization problems)
  • Basic knowledge in finance (compounding, NPV calculation)
  • For some units more advanced knowledge of linear algebra (duality property of linear programs) and calculus (Taylor-series expansion) will be helpful
 
Zuletzt bearbeitet: 13.12.2023 11:26

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