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Mathematical models of financial derivatives markets II

General data

Course ID: 1000-135IP2
Erasmus code / ISCED: 11.923 The subject classification code consists of three to five digits, where the first three represent the classification of the discipline according to the Discipline code list applicable to the Socrates/Erasmus program, the fourth (usually 0) - possible further specification of discipline information, the fifth - the degree of subject determined based on the year of study for which the subject is intended. / (0619) Information and Communication Technologies (ICTs), not elsewhere classified The ISCED (International Standard Classification of Education) code has been designed by UNESCO.
Course title: Mathematical models of financial derivatives markets II
Name in Polish: Modele matematyczne rynku instrumentów pochodnych II
Organizational unit: Faculty of Mathematics, Informatics, and Mechanics
Course groups: (in Polish) Przedmioty obieralne na studiach drugiego stopnia na kierunku bioinformatyka
Elective courses for 2nd stage studies in Mathematics
ECTS credit allocation (and other scores): 6.00 Basic information on ECTS credits allocation principles:
  • the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS;
  • the student’s weekly hourly workload is 45 h;
  • 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes;
  • weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS;
  • work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load.

view allocation of credits
Language: English
Type of course:

elective courses

Prerequisites (description):

Prerequisites: Introduction to stochastic analysis.

Financial Engineering and Mathematical models of financial derivatives markets are desirable, though not a prerequisite.

Short description:

The course will desribe: Interest rate securities. Models of short rate. HJM model. Interest rate derivatives (FRA, caps, floors, swaptions etc.). Market models. Callibration of models to market data.

Full description:

1. Basic definitions of interest-rate derivatives. Martingale pricing. A change of numeraire toolkit.

2. Short rate models: Vasicek model, Hull-White model, CIR model. Affine models. Pricing derivatives in short-rate models. Calibration to market data.

3. Forward-rate models. Model HJM and its properties. Market model and the derivation of the Black pricing formula.

Bibliography:

D. Brigo, F. Mercurio – Interest Rate Models – Theory and Practice, Springer, 2006.

J. Jakubowski, A. Palczewski, M. Rutkowski, Ł. Stettner – Matematyka finansowa, instrumenty pochodne. WNT, Warszawa 2006.

M. Baxter – General interest-rate models and the universality of HJM, w Mathematics of Derivative Securities, M. Dempster, S. Pliska Eds., Cambridge University Press 1997, str. 315--335.

D. Filipovic Term-Structure Models. A Graduate Course, Springer, 2009.

Learning outcomes:

Student:

1. knows basic interest rate derivatives, understands the principle of martingale valuation of derivatives, knows the method of changing the numeraire as a derivative valuation technique;

2. knows basic stochastic models of short-term interest rate: Vasicek, Hulla-White, CIR and affine models; knows the basic properties of these models;

3. knows the methodology for the valuation of derivatives in short-term rate models;

4. knows how to calibrate short-term rate models to market data;

5. knows the basic stochastic model of the forward rate - the HJM model and its properties and limitations;

6. knows what the market model of the forward rate is; he knows the proof of Black's formula for caps.

Social competence:

1. understands the problem of stochastic interest rate modeling and the associated modeling of difficulties;

Assessment methods and assessment criteria:

The result of the exam consists of the results from class (for solving homeworks, active participation) - 1/3 and the results of the written exam

consisting of problems and theoretical questions (2/3). Opportunity to improve the grade of the exam during the oral exam.

Classes in period "Winter semester 2024/25" (past)

Time span: 2024-10-01 - 2025-01-26
Selected timetable range:
Go to timetable
Type of class:
Classes, 30 hours more information
Lecture, 30 hours more information
Coordinators: Jacek Jakubowski
Group instructors: Jacek Jakubowski
Students list: (inaccessible to you)
Credit: Course - Examination
Lecture - Examination

Classes in period "Winter semester 2025/26" (future)

Time span: 2025-10-01 - 2026-01-25

Selected timetable range:
Go to timetable
Type of class:
Classes, 30 hours more information
Lecture, 30 hours more information
Coordinators: Jacek Jakubowski
Group instructors: Jacek Jakubowski
Students list: (inaccessible to you)
Credit: Course - Examination
Lecture - Examination
Course descriptions are protected by copyright.
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