PřF:MF002 Stochastical analysis - Course Information
MF002 Stochastical analysis
Faculty of ScienceSpring 2011
- Extent and Intensity
- 2/1. 3 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)
- Guaranteed by
- prof. RNDr. Ivanka Horová, CSc.
Department of Mathematics and Statistics – Departments – Faculty of Science - Timetable
- Wed 11:00–12:50 M4,01024
- Timetable of Seminar Groups:
- Prerequisites
- Calculus in one and several variables
- Course Enrolment Limitations
- The course is offered to students of any study field.
- Course objectives
- At the end of the course students should be able to: define the Ito and Stratonovich stochastic integrals; solve basic types of stochastic differential equations; prove the Ito Lemma and further properties of stochastic integral; apply stochastic calculus to problems in financial mathematics
- Syllabus
- Brownian motion with drift
- Linear and quadratic variation
- Stochastic integral
- Ito lemma
- Martigale representation theorem
- Likelihood ratio
- Cameron-Martin theorem
- Girsanov theorem
- Stochastic interpretation of diffusion and Laplace equation
- Feynman-Kac theorem
- Stratonovich integral
- Literature
- MELICHERČÍK, Igor, Ladislava OLŠAROVÁ and Vladimír ÚRADNÍČEK. Kapitoly z finančnej matematiky. [Bratislava: Miroslav Mračko, 2005, 242 s. ISBN 8080576513. info
- ØKSENDAL, Bernt. Stochastic differential equations : an introduction with applications. 6th ed. Berlin: Springer, 2005, xxvii, 365. ISBN 3540047581. info
- HULL, John. Options, futures & other derivatives. 5th ed. Upper Saddle River: Prentice Hall, 2003, xxi, 744. ISBN 0130090565. info
- KARATZAS, Ioannis and Steven E. SHREVE. Methods of mathematical finance. New York: Springer-Verlag, 1998, xv, 415. ISBN 0387948392. info
- KARATZAS, Ioannis and Steven E. SHREVE. Brownian motion and stochastic calculus. New York: Springer, 1988, 23, 470. ISBN 0387976558. info
- Teaching methods
- Lectures, class discussions, homeworks, excercises
- Assessment methods
- Oral exam
- Language of instruction
- Czech
- Further Comments
- Study Materials
The course is taught annually. - Listed among pre-requisites of other courses
- Enrolment Statistics (Spring 2011, recent)
- Permalink: https://is.muni.cz/course/sci/spring2011/MF002