English

Not applicable.

Analyze the credit, market, interest, unique and systematic risk.
Demonstrate the ability of derivatives, such as forwards, futures, swaps and options
Use fuzzy logic, artificial neural networks and genetic algorithm in financial risk management

The knowledge in the area of math (linear algebra, arrays, analyses of functions, operations with matrixes) statistics (analysis of time series, regression analyses, the use of statistical methods in economy), operational analysis (linear programming), financial analyses and planning (the analyses of profits and costs, cash flow, value and bankruptcy model).

Not applicable.

The course contains lectures that explain basic principles, problems and methodology of the discipline, and exercises that promote the practical knowledge of the subject presented in the lectures.

The credit will be granted in case of an active participation in trainings and handing in the final assignment. The work will be processed in Excel file concentrating on individual problem from practice leading to solution with the help of theory of fuzzy logic.
The exam will be classified according ECTS. The way of implementation is in the form of written form pointed within the range 0-20 points. A-20-19;B18-17;C16-15;D14-13;E12-;F10-0.

1.To be familiar with the basic notions such as risk, credit risk and market risk.
2.Classical methods of risk management such as interest risk, unique and systematic risk.
3.Basis of derivatives such as forwards, futures, swaps and options. The examples of computer support.
4.Advanced methods of risk management such as fuzzy logic, neural networks and genetic algorithms

Not applicable.

The aim of the above mentioned subject is to be familiar with the problem of financial risk management. The concepts such as risk are specified there, further credit, market, interest, unique and systematic risk. There are mentioned the possibilities of financial risk management by means of derivatives, such as forwards, futures, swaps and options. The advanced methods include description of possible use of fuzzy logic, artificial neural networks and genetic algorithms during the process of financial risk management.

The participation in meetings, consultations. The check of results of individual written assignments.

Not applicable.

Not applicable.

DOSTÁL, P. Advanced Decision Making in Business and Public Services. Brno: CERM Akademické nakladatelství, 2013. 168 p. ISBN: 978-80-7204-747-5. (EN)
Dostál, P, Sojka, Z.: Financial Risk Management, TUB – FBM - Zlín 2008, ISBN 978-80-7318-772-9 (EN)
Soper J. Mathematic for Economics and Business, Blackwell Publishing,UK, 2004 ISBN 1-4051-1127-5 (EN)

Mishkin F.S., Eakins S.G., Financial markets and Institutions, 3rd Edition, Addison Wesley Longman 2000 (EN)
Steiner R., Mastering Financial Calculations. A Step-by-Step Guide to the Mathematics of Finacial Market Instruments, Finacial Times Management 1998