318001 Finance 2 (V) (SoSe 2026)

Contents, comment

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.

Requirements for participation, required level

Knowledge in Stochastic Analysis

Bibliography

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.

Teaching staff

Dates ( Calendar view )

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

Subject assignments

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)    

No more requirements
E-Learning Space
E-Learning Space
Address:
SS2026_318001@ekvv.uni-bielefeld.de
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Notes:
Additional notes on the electronic mailing lists
Last update basic details/teaching staff:
Friday, February 20, 2026 
Last update times:
Monday, April 20, 2026 
Last update rooms:
Monday, April 20, 2026 
Type(s) / SWS (hours per week per semester)
lecture (V) / 4
Language
This lecture is taught in english
Department
Faculty of Business Administration and Economics
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