NMAK15010U Continuous Time Finance 2: (FinKont2)

Volume 2025/2026
Education

MSc Programme in Mathematics-Economics

MSc Programme in Actuarial Mathematics

Content

See "Knowledge" below. Note that the "Selected advanced topics" part (weeks 3-8) varies from year to year.

Learning Outcome

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:

  1. 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”.
  2. 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.
  3. 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.
Literature

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.

Old 'Continuous-time Finance' (FinKont) or new 'Mathematical Finance' (MathFin) or something similar.

Academic qualifications equivalent to a BSc degree is recommended.
6 hours of lectures and 2 hours of tutorials per week for 8 weeks
  • Category
  • Hours
  • Lectures
  • 48
  • Preparation
  • 142
  • Theory exercises
  • 16
  • Total
  • 206
Written
Individual
Continuous feedback during the course of the semester
Feedback by final exam (In addition to the grade)
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.