NMAK16006U CHANGED: Consumption-Investment-Insurance Problems
MSc Programme in Actuarial Mathematics
Individual dynamic optimization problems with respect to consumption, investment and insurance decision making
At the end of the course the student is expected to have:
Knowledge about individual dynamic optimization problems with
respect to consumption, investment and insurance decision making
Skills to formalize and solve relevant classes of
continuous-time optimization problems via establishment and
solution of the corresponding HJB equation.
Competences in; structuring optimization problems into state processes, control processes and objective functions; understand the indregients in classical and neo-classical optimizations problems of the individual; having an overview over what types of problems lead to what type of solution; being able to derive and interpret the life-cycle nature of the different control processes; formalizing and handling modern aspects of preferences like habit formation, recursive utility, uncertain lifetime, family size, labor supply, education and housing.
- Category
- Hours
- Guidance
- 16
- Preparation
- 16
- Project work
- 174
- Total
- 206
As
an exchange, guest and credit student - click here!
Continuing Education - click here!
- Credit
- 7,5 ECTS
- Type of assessment
- Written examinationwritten assignment. Final individual report.
- Aid
- All aids allowed
- Marking scale
- 7-point grading scale
- Censorship form
- No external censorship
One internal examiner.
- Re-exam
Same requirements as the ordinary exam. The project must be submitted no later than three weeks before the beginning of the re-exam week.
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
- NMAK16006U
- Credit
- 7,5 ECTS
- Level
- Full Degree Master
- Duration
- 1 block
- Placement
- Block 3
- Schedule
- C
- Course capacity
- No restrictions/no limitation
- Continuing and further education
- Study board
- Study Board of Mathematics and Computer Science
Contracting department
- Department of Mathematical Sciences
Contracting faculty
- Faculty of Science
Course Coordinators
- Mogens Steffensen (mogens@math.ku.dk)