NMAK13033U Continuous Time Finance 2: Beyond Black-Scholes (FinKont2)
Volume 2013/2014
Education
MSc programme in Statistics
MSc programme in Mathematics-Economics
MSc programme in Mathematics-Economics
Content
See "Knowledge"
below. Note that the "selected topics" part (weeks
4-9) varies from year to year.
Learning Outcome
Competencies
- Confidence in using continuous-time finance models to analyze problems and models that go (well) beyond the basic “call-option in Black/Scholes”-case. The confidence is obtained by working through (fairly) specific specific examples (see also 2. below) rather than “abstract nonsense”.
- Producing “sensible numbers” from the continuous-time models; the numbers may arise from implementation of specific numerical algorithms, from well-designed experiments, or from empirical analysis.
- Ability to read original research papers in finance journals, both broad academic journals such as Journal of Finance, technical journals such as Mathematical Finance, or applied quantitative journals such as Journal of Derivatives.
Skills
- Design, conduct and analyze simulation-based hedge experiments
- Derive no-arbitrage conditions models with dividends, multiple currencies, stochastic interest rates, or a non-traded underlying asset.
- Use change-of-numeraire techniques to price interest rate options
These are the skills acquired in first, “fixed curriculum” part of the course. The yearly varying “selected topics” parts (the xxx in the course name) will hone these skills further as well as teach some other ones.
Knowledge
- Dynamic hedging, model risk and "the fundamental theorem of derivative trading"
- Dividends and foreign exchange models
- Arbitrage-free term structure models; the Heath-Jarrow-Morton formalism; 1-dim. affine models; Vasicek and Cox-Ingersoll-Ross; LIBOR market models
- Pricing of interest rate derivatives (caps, swaptions)
- "Selected topics" varying from year to year. Examples include: multi-dimensional affine term structure models, Markovian representation and unspanned stochastic volatility, transform methods and option pricing (the Heston model), numerical solution of partial differential equations. term structure and derivative modelling post-2007 (multi-curve frameworks, funding and collateral, CVA-adjustments)
Academic qualifications
"Continuous-time
Finance" (FinKont) or something similar.
Teaching and learning methods
6 hours of lectures and 2
hours of tutorials per week for 9 weeks
Workload
- Category
- Hours
- Lectures
- 54
- Preparation
- 50
- Project work
- 84
- Theory exercises
- 18
- Total
- 206
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As an exchange, guest and credit student - click here!
Continuing Education - click here!
Exam
- Credit
- 7,5 ECTS
- Type of assessment
- Continuous assessmentThe evaluation is based on 3 mandatory hand-in exercises.
- Marking scale
- 7-point grading scale
- Censorship form
- No external censorship
One internal examiner
- Re-exam
- 20 minute oral exam with several internal examiners.
Criteria for exam assesment
The student must in a satisfactory way demonstrate that he/she has mastered the learning outcome of the course.
Course information
- Language
- English
- Course code
- NMAK13033U
- Credit
- 7,5 ECTS
- Level
- Full Degree Master
- Duration
- 1 block
- Placement
- Block 3
- 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
Course responsibles
- Rolf Poulsen (rolf@math.ku.dk)
Phone + 45 35 32 06 85, office
04.4.11
Saved on the
11-12-2013