SE-412 Quantitative Financial Economics
- ECTS Credits:
- 7.5
- Responsible department:
- School of Business and Law
- Course Leader:
- Trygve Kastberg Nilssen
- Lecture Semester:
- Autumn
- Teaching language:
- English
- Duration:
- 1 term
The course is connected to the following study programs
- Master's Programme in Business Administration
- Master's Programme in Business Administration (5 years)
Teaching language
EnglishRecommended prerequisites
Bachelor level courses in Mathematics, Statistics, Investment and Finance
Course contents
The objective of this course is to endow the students with quantitative methods required to participate in more advanced finance and economics courses. The students are going to learn how to apply the methods by working through practical examples drawn from and relevant for subsequent courses in the financial economics specialization. After having learned matrix and linear algebra, the students are going to use this knowledge to solve optimization problems using the Lagrange multiplier and Kuhn-Tucker methods. In the second part of the course, the students will be introduced to probability theory before they apply their knowledge in solving decision problems under uncertainty.
Learning outcomes
Upon successful completion of this course the student should
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Be able to safely apply the methods and concepts listed below to solve decision problems under uncertainty. Prominent topics include portfolio theory, expected utility theory and measuring risk attitudes.
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Have developed a thorough understanding of basic concepts in probability theory.
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Have developed a solid understanding of and be able to safely carry out matrix/vector algebra. Covered topics include but are not limited to matrix/vector multiplication, determinants of matrices, and definiteness of matrices.
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Have developed a solid understanding of calculus and linear algebra in general, which
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the students should also be able to safely apply to solve problems in economics and finance.
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In particular, be able to safely solve optimization problems using the Lagrange multiplier and Kuhn-Tucker methods.
Examination requirements
Approved compulsory assignment. More information will be given in Canvas at the start of the semester.
Teaching methods
Lectures and group work. Estimated workload is about 200 hours.
Evaluation
The study programme manager, in consultation with the student representative, decides the method of evaluation and whether the courses will have a midterm- or end of term evaluation, see also the Quality System, section 4.1. Information about evaluation method for the course will be posted on Canvas.
Admission for external candidates
No
Assessment methods and criteria
4-hour written examination with letter grades.
Reduction of Credits
This course’s contents overlap with the following courses. A reduction of credits will occur if one of these courses is taken in addition:
| Course | Reduction of Credits |
|---|---|
| ME-431 – Quantitative Methods in Finance | 7.5 |