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Optimization of Mathematical Finance

Course Code

AK3261

Number of Credits

3

Semester

Course Type

Study Material

Study MaterialDepth
Portfolio optimizationExpert
Portfolio optimization with constraintsExpert
Capital Asset Pricing ModelExpert
Value at RiskExpert
Multiobjective optimizationExpert
Solving multiobjective optimization with metaheuristic methodsExpert
Solving multiobjective optimization with interactive methodsExpert

Graduate Learning Outcomes (GLO) carried by the course

CPMK CodeCourse Learning Outcomes Elements (CLO)
CPMK 1Understanding of the theoretical basis and methods used in multiobjective optimization including metaheuristic methods and interactive methods.
CPMK 2Ability to model portfolio problems as a multi-objective optimization problem that maximizes returns and minimizes risks involving 2 or many assets.
CPMK 3Ability to describe portfolio optimization problems with various constraints including constraints without short selling, buy-in threshold, roundlot, and cardinality, as well as understanding capital asset pricing models and value at risk.
CPMK 4Ability to work, high curiosity, independence and communication in completing individual tasks related to portfolio optimization given using computer assistance.
CPMK 5Ability to work in a team to solve portfolio optimization problems using real data representing problems in the world of work using multi-objective optimization methods using computer assistance.

Learning Method

  • Lectures, Group Discussions, Case studies/problem based learning.

Learning Modality

  • Offline, synchronous, standalone, and group.

Assessment Methods

  • midterm test, final test, homework, and project assignments