MAT-61956 Financial Mathematics and Statistics, 5 cr
Suitable for postgraduate studies.
|MAT-61956 2019-01||2 - 3||
||Exam and project work|
A solid understanding of the mathematical basis of financial derivative pricing models is essential for understanding phenomena and pricing and hedging options in banks and financial institutions. Mathematically and statistically, the main focus areas are i) stochastic calculus for asset price modeling and derivative pricing and ii) model estimation. Financially, the main focus is on the pricing of equity and FX derivatives, but also interest rate derivatives are briefly covered. After completing this course, the student - Understands the no-arbitrage principle in option pricing - Understands the main mathematical concepts in continuous-time finance, including Ito¿s lemma, martingale processes, Radon-Nikodym derivative, and Girsanov's theorem - Is familiar with continuous and discrete-time models and methods to price and hedge and options and other derivatives on equities, indexes, and currencies - Is familiar with LIBOR market model for interest rate derivatives - Is familiar with stochastic volatility models - Understands advanced Monte-Carlo methods with variance reduction techniques and can apply them - Can implement derivative pricing models with stochastic volatility in Matlab or in some other environment - Can calibrate option pricing models with stochastic volatility using option market data - Can estimate the GARCH volatility models with maximum likelihood estimation methods and time-series data - Understands the main results of recent scientific papers on the field
|Content||Core content||Complementary knowledge||Specialist knowledge|
|2.||Derivative contracts in financial markets|
|3.||Pricing with tree models|
|4.||Stochastic processes for asset price modelling in continuous time|
|6.||Martingale approach to arbitrage theory|
|8.||Derivative pricing and hedging in continuous time|
|9.||LIBOR market model|
|10.||Stochastic volatility in continuous time|
|11.||GARCH models for stochastic volatility|
|12.||Maximum likelihood estimation|
Instructions for students on how to achieve the learning outcomes
The grade of the course is based on the final exam and project work.
Numerical evaluation scale (0-5)
|Type||Name||Author||ISBN||URL||Additional information||Examination material|
|Book||The Concept and Practice of Mathematical Finance||Mark Joshi||978-0521823555||No|
|MAT-01500 Insinöörimatematiikka X 5||Mandatory||1|
|MAT-01510 Insinöörimatematiikka A 5||Mandatory||1|
|MAT-01520 Insinöörimatematiikka B 5||Mandatory||1|
|MAT-01530 Insinöörimatematiikka C 5||Mandatory||1|
|MAT-01560 Matematiikka 5||Mandatory||1|
|MAT-01566 Mathematics 5||Mandatory||1|
|MAT-02506 Probability Calculus||Mandatory||1|
1 . Alternative prerequisite.
Additional information about prerequisites
As a prerequisite, only one of the following courses in mandatory: MAT-01500, MAT-01510, MAT-01520, MAT-01530, MAT-01560, MAT-01566, MAT-02500, or MAT-02506. Also, it can be replaced by another corresponding course on probability calculus and statistics provided at other campuses. Moreover, basic skills in programming/scientific computing is highly recommended.
Correspondence of content
|MAT-61956 Financial Mathematics and Statistics, 5 cr||TTA-45046 Financial Engineering, 3 cr|