In this class, we will consider classical topics of mathematical finance in continuous time. We adress the pricing of contingent claims as options and futures. Doing so, we learn about the important concepts of no-arbitrage, risk neutral pricing and the fundamental theorems of asset pricing.
Furthermore, we adress the problem of optimal portfolio choice in continuous time using techniques from dynamic programming.
The course is accompanied by an exercise class, that contain also exercise sessions on computational finance using R.
Knowledge in Stochastic Analysis
Shreve, S. E. (2004). Stochastic calculus for finance II: Continuous-time models (Vol. 11). New York: springer.
Oksendal, B. (2013). Stochastic differential equations: an introduction with applications. Springer Science & Business Media.
Pham, H. (2009). Continuous-time stochastic control and optimization with financial applications (Vol. 61). Springer Science & Business Media.
Seydel, R., & Seydel, R. (2006). Tools for computational finance (Vol. 3). Berlin: Springer.
| Frequency | Weekday | Time | Format / Place | Period | |
|---|---|---|---|---|---|
| weekly | Di | 10-12 | U2-135 | 13.04.-24.07.2026 | |
| weekly | Fr | 10-12 | U5-133 | 13.04.-24.07.2026
not on: 5/15/26 / 6/5/26 |
| Module | Course | Requirements | |
|---|---|---|---|
| 31-M-El1 Elective Courses 1 Elective Courses 1 | Chosen course from the group "Specialisation and deepening of the knowledge on economic theory and/or quantitative methods" 6 LP | Student information | |
| 31-M-El2 Elective Courses 2 Elective Courses 2 | Chosen course from the group quantitative methods 6 LP | Student information | |
| 31-M-El3 Elective Courses 3 Elective Courses 3 | Chosen course from the group economic theory 6 LP | Student information | |
| 31-M-Fin2 Finance 2 Finance 2 | Finance 2 | Graded examination
|
Student information |
| 31-M-FinB Finance B Finance B | Finance 2 | Graded examination
|
Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
| Degree programme/academic programme | Validity | Variant | Subdivision | Status | Semester | LP | |
|---|---|---|---|---|---|---|---|
| Bielefeld Graduate School in Theoretical Sciences / Promotion | |||||||
| Economics and Management (BiGSEM) / Promotion | Economics; Field Courses | 8 | |||||
| Economics and Management (BiGSEM) / Promotion | Finance; Prerequisites | 8 | |||||
| Studieren ab 50 | |||||||
| Wirtschaftswissenschaften - Angebote für Erasmus / Incomings (Master) |