PřF:MF003 Derivatives pricing - Course Information
MF003 Derivatives pricing
Faculty of ScienceAutumn 2018
- Extent and Intensity
- 2/2/0. 4 credit(s) (příf plus uk k 1 zk 2 plus 1 > 4). Type of Completion: zk (examination).
- Teacher(s)
- doc. RNDr. Martin Kolář, Ph.D. (lecturer)
Mgr. Silvie Zlatošová, Ph.D. (seminar tutor) - Guaranteed by
- prof. RNDr. Ivanka Horová, CSc.
Department of Mathematics and Statistics – Departments – Faculty of Science
Supplier department: Department of Mathematics and Statistics – Departments – Faculty of Science - Timetable
- Mon 17. 9. to Fri 14. 12. Tue 8:00–9:50 M5,01013
- Timetable of Seminar Groups:
- Prerequisites
- MF001 Stochastical processes in financial mathematics && MF002 Stochastical analysis
Knowledge of stochastic processes (random walk and Wiener process) and stochastic analysis - Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
- fields of study / plans the course is directly associated with
- Applied Mathematics for Multi-Branches Study (programme PřF, N-MA)
- Finance Mathematics (programme PřF, N-MA)
- Statistics and Data Analysis (programme PřF, N-MA)
- Course objectives
- At the end of the course students should be able to: understand and explain the notions of forward, European and American option; use the information on mechanisms of exotic options to create portfolios with desired properties; create several hedging strategies for a given portfolio, make well reasoned decisions to prevent unnecessary exposition to market risks, interpret real world situation in connection with the assumptions of the used model.
- Learning outcomes
- At the end of the course students should be able to: understand and explain the notions of forward, European and American option; use the information on mechanisms of exotic options to create portfolios with desired properties; create several hedging strategies for a given portfolio, make well reasoned decisions to prevent unnecessary exposition to market risks, interpret real world situation in connection with the assumptions of the used model.
- Syllabus
- Arbitrage
- European and American options
- Discrete models
- Binomial model
- Black-Scholes model
- Equivalent martingale measure
- Path dependent options
- Greeks
- Interest rate models
- Literature
- Teaching methods
- lectures, class excercises and homework
- Assessment methods
- Two written tests during the semester, consisting of 5 problems each. 50% of total points is needed to pass. Oral examination.
- Language of instruction
- Czech
- Further Comments
- Study Materials
The course is taught annually.
- Enrolment Statistics (Autumn 2018, recent)
- Permalink: https://is.muni.cz/course/sci/autumn2018/MF003