Syllabus

Title
4314 Mathematical Methods - Financial Mathematics
Instructors
Nurtai Meimanjan, M.Sc.
Contact details
Type
PI
Weekly hours
2
Language of instruction
Englisch
Registration
02/16/26 to 02/27/26
Registration via LPIS
Notes to the course
Dates
Day Date Time Room
Monday 03/02/26 01:00 PM - 03:00 PM TC.4.02
Wednesday 03/04/26 01:00 PM - 03:00 PM TC.5.02
Monday 03/09/26 01:00 PM - 03:00 PM TC.4.02
Wednesday 03/11/26 01:00 PM - 03:00 PM TC.5.02
Tuesday 03/17/26 08:00 AM - 10:30 AM D4.0.039
Wednesday 03/18/26 01:00 PM - 03:00 PM TC.5.02
Monday 03/23/26 01:00 PM - 03:00 PM TC.4.02
Wednesday 03/25/26 01:00 PM - 03:00 PM TC.5.02
Wednesday 04/08/26 01:00 PM - 03:00 PM TC.3.06
Monday 04/13/26 01:00 PM - 03:00 PM TC.4.02
Wednesday 04/15/26 01:00 PM - 03:00 PM TC.5.02
Monday 04/20/26 01:00 PM - 03:00 PM TC.4.02
Contents

The course covers the basic concepts of financial mathematics. Topics might include a selection of the following:

  • Discrete probability: basic concepts and elementary models, conditional expectation, martingales
  • The binomial asset pricing model
  • Mean-variance portfolio Theory, Markowitz Model
  • Capital Asset Pricing Model
  • Random Vectors and Distributions
  • Option Pricing via Binomial Model
  • Black-Scholes Option Pricing, Greeks
  • Fixed-income securities
  • Risk measures
  • Utility functions
Learning outcomes

After completing this class the student will have the ability to describe and apply:

  • the basic concepts of discrete probability
  • the binomial asset pricing model
  • the Mean-Variance Portfolio Theory
  • the Capital Asset Pricing Model
  • the basic concepts of risk measures
Attendance requirements

Since this is a course with an immanent examination character (PI), attendance is mandatory. Students can miss two units without excuse, absenteeism in further units must be excused / justified by email.

Homework solutions will be presented in class, up to twice not being present when randomly chosen to present homework is acceptable.
Teaching/learning method(s)
The class is mainly taught as a combination of lectures and exercises with homework assignments. Students present their solutions which will be discussed in the group.The course also serves as a preparation for some of the mathematics lectures of the Master in Quantitative Finance curriculum.
Assessment
  • 2 written tests (midterm weights 30%, final weights 40% of the final grade)
  • homework assignments (30% of the final grade) , students will be asked to present their solutions in the class, presentation of the solutions is also counted towards the grade

Grading key:

1:  >= 86%

2:  >= 74%

3:  >= 62%

4:  >= 50%

5:  < 50%

 

Prerequisites for participation and waiting lists
Having participated in the course "Mathematical Methods 1 -- Mathematische Grundlagen" is an advantage, but it is NOT a prerequisite for this course. The materials from "Mathematical Methods 1 -- Mathematische Grundlagen" will be made available.
Readings

Please log in with your WU account to use all functionalities of read!t. For off-campus access to our licensed electronic resources, remember to activate your VPN connection connection. In case you encounter any technical problems or have questions regarding read!t, please feel free to contact the library at readinglists@wu.ac.at.

Recommended previous knowledge and skills

Other
Course Readings:The material will be made available at Learn@WU.
Last edited: 2026-01-27



Back