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Modeling in Finance - course description

General information
Course name Modeling in Finance
Course ID 11.5-WK-MATP-MF-L-S14_pNadGenO8E0Y
Faculty Faculty of Mathematics, Computer Science and Econometrics
Field of study Mathematics
Education profile academic
Level of studies First-cycle studies leading to Bachelor's degree
Beginning semester winter term 2020/2021
Course information
Semester 6
ECTS credits to win 7
Course type optional
Teaching language polish
Author of syllabus
  • dr hab. Mariusz Michta, prof. UZ
Classes forms
The class form Hours per semester (full-time) Hours per week (full-time) Hours per semester (part-time) Hours per week (part-time) Form of assignment
Laboratory 45 3 - - Credit with grade
Lecture 30 2 - - Exam

Aim of the course

Knowledge of foundations of financial institutions, capital markets and methods of their products modeling.

Prerequisites

Probability theory, introduction to financial mathematics.

Scope

Lectures:
1. Least squares method, linear financial time series and their applications In financial data analysis.
2. Risk modeling: different kinds of risks, financial risk, financial instruments, risk determinants, measures of risk, VAR, covariance methods, historical simulation method, simulation of scenario method.
3. Models for rate of return, volatility.
4. Blacka-Scholesa model and options pricing, historical and implied volatility.
5. Examples of egzotic options and their applications.
6. Modeling of demografic parameters: survival models, life time tables and parameters.
7. Models of insurance risk: principles of insurance premium calculations.
8. Models of insurances: risk process, reserves and Lundberg’s model.
9. Ruin probabilisty.

Laboratory:
1. Simulations of continuous financial models.
2. Analysis of Real Word data using mathematical software packages.

Teaching methods

Lectures and computer laboratory analysis.

Learning outcomes and methods of theirs verification

Outcome description Outcome symbols Methods of verification The class form

Assignment conditions

Evaluation of individual exercises, final exam and grade.

Recommended reading

1. W. Ronka-Chmielowiec, Ryzyko w ubezpieczeniach-metody oceny, AE, Wrocław, 1997.
2. M. Dobija, E. Smaga, Podstawy matematyki finansowej i ubezpieczeniowej, WNT, Warszawa, 1996.
3. J. Hull, Kontrakty Terminowe i Opcje.Wprowadzenie, WIG-press, Warszawa, 1997.
4. J. Jakubowski, Modelowanie Rynk闚 Finansowych, Script, Warszawa, 2006.
5. E. Nowak (red.), Matematyka i statystyka finansowa, Fundacja Rozwoju Rach., Finanse, Warszawa, 1994.
6. P. Brandimarte, Numerical Methods in Finance and Econometrics. A MATLAB Based.
7. A.N. Shiryaev, Essentials of Stochastic Finance, Facts, Models, Theory, World Scientific, 1999.

Further reading

1. J. Jakubowski, A. Palczewski, M. Rutkowski, L. Stettner, Matematyka Finansowa, Instrumenty Pochodne, WNT, Warszawa, 2003.
2. Janicki, A Izydorczyk, Komputerowe Metody w Modelowaniu Stochastycznym, WNT, Warszawa, 2001.
3. M. Podgórska, J. Klimkowska, Matematyka Finansowa, PWN, 2005.

Notes


Modified by dr Alina Szelecka (last modification: 18-09-2020 13:45)