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Introduction to Mathematical Finance
Last Updated: 2026-06-03 00:14:13
Abstract
Introductory course on mathematics for investment, hedging, portfolio management, asset pricing and financial derivatives in discrete-time financial markets. Topics: arbitrage, completeness, risk-neutral pricing, utility maximisation, and maybe others. Fundamental theorem of asset pricing, hedging duality theorems in discrete time, convex duality in utility maximisation.
Objective
This is an introductory course on the mathematics for investment, hedging, portfolio management, asset pricing and financial derivatives in discrete-time financial markets. We discuss arbitrage, completeness, risk-neutral pricing and utility maximisation, and maybe other topics. We prove the fundamental theorem of asset pricing and the hedging duality theorems in discrete time, and we also study convex duality in utility maximization.
Content
This course focuses on discrete-time financial markets. It presumes a knowledge of measure-theoretic probability theory (as taught e.g. in the course "Probability Theory"). The course is offered every year in the Spring semester. This course is the first of a sequence of two courses on mathematical finance. The second course "Mathematical Finance" (MF II), 401-4889-00, focuses on continuous-time models. It is advisable that the present course, MF I, is taken prior to MF II. For a (not fully up-to-date) overview of courses offered in the area of mathematical finance, see Link .
Resources
Lecture Notes
The course is based on different parts from different textbooks as well as on original research literature. Lecture notes will not be available.
Literature
Literature: Michael U. Dothan, "Prices in Financial Markets", Oxford University Press Hans Föllmer and Alexander Schied, "Stochastic Finance: An Introduction in Discrete Time", de Gruyter Marek Capinski and Ekkehard Kopp, "Discrete Models of Financial Markets", Cambridge University Press Robert J. Elliott and P. Ekkehard Kopp, "Mathematics of Financial Markets", Springer Dmitry Kramkov and Walter Schachermayer, "The asymptotic elasticity of utility functions and optimal investment in incomplete markets", Annals of Applied Probability 9 (1999), 904-950
Learning Materials (Links)
- Main link
- Introduction to Mathematical Finance
General Information
- Language
- English
- Levels
- BSC , MSC
- Frequency
- Yearly recurring
Examination
- Type
- session examination
- Mode
- oral 30 minutes
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture |
Introduction to Mathematical Finance
new schedule: tentatively Thu 12-14 and Fri 8-10
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4 h weekly |
| exercise |
Introduction to Mathematical Finance
Groups are selected in myStudies.
Thu 14-15 or Thu 15-16
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1 h weekly |
Offered In
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Electives (For the Master's degree in Applied Mathematics the following additional condition (not manifest in myStudies) must be obeyed: At least 14 of the required 26 credits from core courses and electives must be acquired in areas of applied mathematics and further application-oriented fields.)
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