NMAA09045U Finance 2: Dynamic Portfolio Choice (Fin2)
MSc Programme in Mathematics-Economics
See the "Knowledge" part of the learning outcome below.
- Formulate and analyze decision problems (investment/consumption and optimal stopping) in a stochastic multi-period setting.
- Analyze model consequences “with numbers”; algorithmically, experimentally or empirically. (As well as understand why these three things are different concepts.)
- Acquire the confidence to read presentations of the same – or almost the same – problem in the literature. Know that notation, motivation, and rigour varies and that there is rarely a gospel.
- Rigorously prove optimality principles and conditions for stochastic control problems in (discrete time, finite space)-multi-period setting.
- Explicitly solve simple investment/consumption and optimal stopping problems.
- Derive (with pen and paper), analyze (with a computer) and explain (in plain English) model implications; be they quantitative or qualitative, be they regarding policy, equilibrium, or empirics.
- Maximization of expected utility and (partial) equilibrium in one-period models, including betting against beta.
- Multi-period optimal portfolio choice. The martingale method vs. dynamic programming/the Bellman equation.
- Explicit solutions with HARA utility and binomial(‘ish) stock dynamics.
- Properties and consequences of solutions; myopia and constant weights, C-CAPM, the equity premium puzzle.
- Optimal stopping and the hedging and pricing of American options.
A bachelor degree in Mathematics-Economics.
Teaching and learning methods
4 hours of lectures and 2 hours of tutorials per week for 7 weeks.
Self Service at KUnet
- 7,5 ECTS
- Type of assessment
- Oral examination, 20 minutesWithout preparation time, but "open book" (i.e. "all aids allowed").
- All aids allowed
- Marking scale
- 7-point grading scale
- Censorship form
- External censorship
Same as ordinary
Criteria for exam assesment
The student must in a satisfactory way demonstrate that he/she has mastered the learning outcome of the course.
- Theory exercises