Finance 2: Dynamic Portfolio Choice (Fin2)
Course content
See the "Knowledge" part of the learning outcome below.
MSc Programme in Mathematics-Economics
Knowledge
- A closer look at arbitrages: No arbitrage-intervals in incomplete markets, cross-currency betting arbitrage, statistical arbitrage.
- Maximization of expected utility and (partial) equilibrium in one-period models, the state-price utility theorem and betting against beta.
- Multi-period optimal portfolio choice. The martingale method vs. dynamic programming/the Bellman equation.
- Explicit solutions in binomial(‘ish) models and in amodel with reurn preditability and transaction costs.
- Properties and consequences of solutions; myopia and constant weights, C-CAPM, the equity premium puzzle.
- The numeraire porttfolio.
- Optimal stopping and the hedging and pricing of American options including Longstaff and Schwartz' simulation technique.
Skills
- 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.
Competencies
- 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.
Blended teaching and learning: 4 hours of video lectures per week for 7 weeks. Worksheets with exercises/problem solving will be provided for the students for in-depth engagement with the course material. There will be regular meetings with the lecturer for discussions of the course material and the exam.
A bachelor degree in Mathematics-Economics.
Academic qualifications equivalent to a BSc degree is
recommended.
This course is only available to students enrolled in the MSc Programme in Mathematics-Economics in the study year 2023/24 and earlier.
- ECTS
- 7,5 ECTS
- Type of assessment
-
Oral examination, 20 minutes (no prepartion)
- Type of assessment details
- Without preparation time, but "open book" (i.e. "all aids allowed").
- Aid
- All aids allowed
- Marking scale
- 7-point grading scale
- Censorship form
- External censorship
- Re-exam
-
Same as ordinary
Criteria for exam assessment
The student should convincingly and accurately demonstrate the knowledge, skills and competences described under Intended learning outcome.
- Category
- Hours
- Lectures
- 28
- Preparation
- 177
- Exam
- 1
- English
- 206
Kursusinformation
- Language
- English
- Course number
- NMAA09045U
- ECTS
- 7,5 ECTS
- Programme level
- Full Degree Master
- Duration
-
1 block
- Placement
- Block 2
- Schedulegroup
-
C
- Capacity
- No limitation – unless you register in the late-registration period (BSc and MSc) or as a credit or single subject student.
- Studyboard
- Study Board of Mathematics and Computer Science
Contracting department
- Department of Mathematical Sciences
Contracting faculty
- Faculty of Science
Course Coordinator
- Rolf Poulsen (4-74716e68426f63766a306d7730666d)
Are you BA- or KA-student?
Courseinformation of students