Seminar: Computational Finance and Financial Management (22047)
| Modulziele und angestrebte Lernergebnisse // Module objectives and intended study results: |
The students
- become familiar with modelling tools for financial assets, such as asset portfolios, derivatives and cryptocurrencies,
- develop an understanding for the impact of blockchain technology
- acquire basics in the programming language Python.
- have the ability to solve and automize financial problems by means of computational algebra software and programming software- improve skills to present and defend their work
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| Inhalt // Contents: |
- The seminar is oriented towards current developments in the fields of computational finance and financial management.
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| Literaturhinweise // References: |
- Rüdiger U. Seydel (2017): Tools for Computational Finance. Springer Verlag
- Yves Hilpisch (2019) 2ed: Python for Finance. O’Reilly
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| Credit Points // credits: |
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| Arbeitsaufwand // Work load: |
- 28 Präsenzstunden/hours attendance time & 272 Stunden Selbststudium inkl. Prüfungsleistung/learning hours incl. exam(s)
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| (Weitere) Studienbegleitende Prüfungsleistung(en) // (further) continuous module-related assessment(s): |
- Seminararbeit(en) // Term Paper(s)
- Präsentation(en) // Presentation(s)
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