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Valuation and Hedging of Financial Derivatives

* Exchange students do not have to consider this information when selecting suitable courses for an exchange stay.

Course Unit Code154-0340/02
Number of ECTS Credits Allocated3 ECTS credits
Type of Course Unit *Choice-compulsory
Level of Course Unit *Second Cycle
Year of Study *Second Year
Semester when the Course Unit is deliveredWinter Semester
Mode of DeliveryFace-to-face
Language of InstructionCzech
Prerequisites and Co-Requisites Course succeeds to compulsory courses of previous semester
Name of Lecturer(s)Personal IDName
TIC02prof. Ing. Tomáš Tichý, Ph.D.
Summary
Within this course, particular problems of financial derivatives, their
pricing, hedging, replication and modelling in general are treated. At first,
particular sorts of derivatives, methods of pricing and most common types of
underlying assets and related processes are introduced. Subsequently, these
methods and types of underlying assets are applied in order to model the price
of basic types of financial derivatives. Single topics are constituted by non-
standard derivatives.The task is to allow the students to use obtained
knowledge in solving of real problems.
Learning Outcomes of the Course Unit
This course aims at pricing, hedging and modeling of financial derivatives as well as primary financial securities. The aim of the course is
- to improve the knowledge and skills of students
- so that they will be able to apply acquired knowledge
- in order to efficiently utilize financial derivatives within risk management issues of both, financial and nonfinancial institutions;
- the students should be able to formulate pricing and hedging task and subsequently propose an efficient approach to solve it.
Course Contents
Introduction to financial markets and derivatives
Linear financial derivatives (forwards, futures, swaps)
Nonlinear financial derivatives (plain vanilla options, exotic options)
Discrete valuation methods (binomial and trinomial trees)
Stochastic processes
Continuous valuation models (BS model)
Monte Carlo simulation
Interest rate derivatives
Wheather derivatives, energy derivatives, credit risk derivatives
Application of financial derivatives: hedging of nonfinancial institutions
Application of financial derivatives: hedging and replication in financial institutions
Recommended or Required Reading
Required Reading:
HULL, J.C. Options, futures, and Other Derivatives. 11th ed. Harlow: Pearson, 2022.
HULL, J.C. Risk Management and Financial Institutions. 5th ed. New York: Wiley, 2018.
TICHÝ, T. Lévy Processes in Finance: Selected applications with theoretical background. SAEI, vol. 9. Ostrava: VŠB-TU Ostrava, 2011.
HULL, J.C. Options, futures, and Other Derivatives. 11th ed. Harlow: Pearson, 2022.
HULL, J.C. Risk Management and Financial Institutions. 5th ed. New York: Wiley, 2018.
TICHÝ, T. Finanční deriváty – typologie finančních derivátů, podkladové procesy, oceňovací modely. Ostrava: VŠB-TU Ostrava, 2006.
Recommended Reading:
NEFTCI, S. Principles of Financial Engineering. 2nd ed. Academic Press, 2008.
SCHOUTENS, W. Lévy Processes in Finance: Pricing Financial Derivatives. Wiley, 2003.
SHREVE, S. E. Stochastic Calculus for Finance I: The Binomial Asset Pricing Models. Springer, 2004.
SHREVE, S. E. Stochastic Calculus for Finance II: Continuous-Time Models. Springer, 2004.
NEFTCI, S. Principles of Financial Engineering. 2nd ed. Academic Press, 2008.
SCHOUTENS, W. Lévy Processes in Finance: Pricing Financial Derivatives. Wiley, 2003.
SHREVE, S. E. Stochastic Calculus for Finance I: The Binomial Asset Pricing Models. Springer, 2004.
SHREVE, S. E. Stochastic Calculus for Finance II: Continuous-Time Models. Springer, 2004.
Planned learning activities and teaching methods
Lectures
Assesment methods and criteria
Task TitleTask TypeMaximum Number of Points
(Act. for Subtasks)
Minimum Number of Points for Task Passing
ExaminationExamination100 51