NMAA05113U Continuous Time Finance (FinKont)
Volume 2018/2019
Education
MSc Programme in Actuarial Mathematics
MSc Programme in Mathematics-Economics
Content
- Stochastic integrals and Ito formula
- Stochastic differential equations
- Arbitrage
- Complet markets
- Martingale methods in finalcial mathematics
Learning Outcome
Knowledge:
Ito calculus, stochastic differential equation and methods applied
in continuous time financial models.
Skills:
At the end of the course, the students are expected to be able
to
- Apply theorems on stochastic integrals and stochastic differential equations, including theorems such as: Ito's formula, Feynman-Kac representations, martingale representations, Girsanov's theorem.
- Determine arbitrage free prices of financial claims including determining partial differential equations for price functions.
- Deduce if a diffusion model for the market is arbitrage free and if it is complete and to be familiar with the 1st and 2nd fundamental theorems of asset pricing including the determination of martingale measures.
- Apply concepts for portfolios including self financing and replicating.
- Apply the theory to determine the Black-Scholes price for a call option.
Competencies:
To provide operational qualifications and insight in modern
financial methods.
Literature
Example of course litterature:
Thomas bjork: "Arbitrage Theory in Continuous Time"
Recommended Academic Qualifications
Mål og integralteori (MI),
Stochastic Processes 2/Advanced Probability Theory 1 (VidSand1) and
either FInansiering 1 (Fin1), Grundlæggende
livsforsikringsmatematik 1 (Liv1), or similar
Teaching and learning methods
4 hours of lectures and 3
hours of exercises per week for 7 weeks.
Workload
- Category
- Hours
- Exam
- 3
- Lectures
- 28
- Preparation
- 154
- Theory exercises
- 21
- Total
- 206
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Exam
- Credit
- 7,5 ECTS
- Type of assessment
- Written examination, 3 hours---
- Aid
- All aids allowed
- Marking scale
- 7-point grading scale
- Censorship form
- No external censorship
One internal examiner.
- Re-exam
30 minutes oral exam without preparation time and no aids, with several internal examiners.
Criteria for exam assesment
The student must in a satisfactory way demonstrate that he/she has mastered the learning outcome.
Course information
- Language
- English
- Course code
- NMAA05113U
- Credit
- 7,5 ECTS
- Level
- Full Degree Master
- Duration
- 1 block
- Placement
- Block 2
- Schedule
- A
- Course capacity
- No limit
- Continuing and further education
- Study board
- Study Board of Mathematics and Computer Science
Contracting department
- Department of Mathematical Sciences
Contracting faculty
- Faculty of Science
Course Coordinators
- Jesper Lund Pedersen (jesper@math.ku.dk)
Phone+ 45 35 32 07 75, office:
04.3.11
Saved on the
05-07-2018