- Modelling of discrete-time financial markets,
- Review and extensions of concepts from probability: Conditional expectation, martingales, stopping times, change of measure,
- Binomial model,
- Pricing of financial products in discrete-time financial markets,
- European options,
- American options,
- Basics of portfolio optimization
Module MAT-60-17-M-4
Probability Concepts for Financial Markets (M, 3.0 LP)
Module Identification
Module Number | Module Name | CP (Effort) |
---|---|---|
MAT-60-17-M-4 | Probability Concepts for Financial Markets | 3.0 CP (90 h) |
Basedata
CP, Effort | 3.0 CP = 90 h |
---|---|
Position of the semester | 1 Sem. in WiSe/SuSe |
Level | [4] Bachelor (Specialization) |
Language | [EN] English |
Module Manager | |
Lecturers |
Lecturers of the department Mathematics
|
Area of study | [MAT-STO] Stochastics/Statistics/Financial Mathematics |
Reference course of study | [MAT-88.B84-SG] M.Sc. Actuarial and Financial Mathematics |
Livecycle-State | [NORM] Active |
Courses
Type/SWS | Course Number | Title | Choice in Module-Part | Presence-Time / Self-Study | SL | SL is required for exa. | PL | CP | Sem. | |
---|---|---|---|---|---|---|---|---|---|---|
2S | MAT-60-17-K-4 | Probability Concepts for Financial Markets
| P | 28 h | 62 h |
SEM-Schein
| - | no | 3.0 | WiSe/SuSe |
- About [MAT-60-17-K-4]: Title: "Probability Concepts for Financial Markets"; Presence-Time: 28 h; Self-Study: 62 h
- About [MAT-60-17-K-4]: The study achievement [SEM-Schein] proof of successful participation in the seminar must be obtained.
Evaluation of grades
The module is not graded (only study achievements)..
Contents
Competencies / intended learning achievements
Upon completion of this module, students will be able to formulate and develop themodels ofdiscrete-time financial markets usingthe concepts of measure-theoretic probability theory. They will have learnt and processed the theory of discrete-time stochastic processes from probability theory and will be able to apply it to problems of financial mathematics. They will have acquired the fundamentals of price theory in discrete time financial markets and will be able to apply these methods to various types of financial derivatives.
By participating in the integrated seminar, students will have acquired additional skills useful for presenting mathematical content.
Literature
- N.H. Bingham, R. Kiesel: Risk-Neutral Valuation: Pricing and Hedging of Financial Derivatives,
- J. Jacod, P. Protter: Probability Essentials,
- R. Korn: Moderne Finanzmathematik – Theorie und praktische Anwendung, Band 1: Optionsbewertung und Portfolio-Optimierung,
- S. Pliska: Introduction to Mathematical Finance,
- S. Shreve: Stochastic Calculus for Finance I: The Binomial Asset Pricing Model.
Requirements for attendance (informal)
Modules:
- [MAT-10-1-M-2] Fundamentals of Mathematics (M, 28.0 LP)
- [MAT-60-11-M-4] Probability Theory (M, 9.0 LP)
Requirements for attendance (formal)
None
References to Module / Module Number [MAT-60-17-M-4]
Course of Study | Section | Choice/Obligation |
---|---|---|
[MAT-88.B84-SG] M.Sc. Actuarial and Financial Mathematics | Actuarial and Financial Mathematics | [P] Compulsory |