NMAK15010U Continuous Time Finance 2: (FinKont2)
MSc Programme in Mathematics-Economics
MSc Programme in Actuarial Mathematics
See "Knowledge" below. Note that the "Selected advanced topics" part (weeks 3-8) varies from year to year.
Knowledge:
- Dynamic hedging, model risk and "the fundamental theorem of derivative trading"
- Dividends and foreign exchange models
- Selected advanced for option pricing topics, eg: Local volatility and the Dupire formula, stochastic volatility ala Heston, jumps ala Merton; American options, barrier options, volatility 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 a variety of techniques for option pricing in advanced settings (change of numeraire, affine methods, Ito formula extensions, Longstaff-Schwartz simulation, ...)
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 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.
Chapters 15-18 from Björk (2020), "Arbitrage Theory in Continuous Time", 4th edition, Oxford.
Chapters 1,2, and 11 from Gatheral (2006), "The Volatility Surface", 1st edition, Wiley.
Various articles, notes, and working papers -- ideally with all the relevant material (and more) contained in Poulsen (202?), "Quant Finance", (-1)st or 0th edition, Springer.
Academic qualifications equivalent to a BSc degree is recommended.
- Category
- Hours
- Lectures
- 48
- Preparation
- 142
- Theory exercises
- 16
- Total
- 206
As
an exchange, guest and credit student - click here!
- Credit
- 7,5 ECTS
- Type of assessment
- Continuous assessment
- Type of assessment details
- The evaluation is based on 3 mandatory hand-in exercises, which all have equal weight.
- Aid
- All aids allowed
- Marking scale
- 7-point grading scale
- Censorship form
- No external censorship
One internal examiner
- Re-exam
20 minute oral exam with several internal examiners. No preparation time and no aids.
Criteria for exam assesment
The student should convincingly and accurately demonstrate the knowledge, skills and competences described under Intended learning outcome.
Course information
- Language
- English
- Course code
- NMAK15010U
- Credit
- 7,5 ECTS
- Level
- Full Degree Master
- Duration
- 1 block
- Placement
- Block 3
- Schedule
- A
- Course capacity
- No limitation – unless you register in the late-registration period (BSc and MSc) or as a credit or single subject student.
Study board
- Study Board of Mathematics and Computer Science
Contracting department
- Department of Mathematical Sciences
Contracting faculty
- Faculty of Science
Course Coordinators
- Rolf Poulsen (rolf@math.ku.dk)