Equity and Foreign Exchange Derivatives
Brief description
Relevant statistical concepts (log normal distribution, introduction to probability space, etc.); Modelling stock prices as Geometric Brownian Motion (GBM); Pricing European Options using binomial trees; Risk neutral probability; Black-Scholes equation for pricing Call Options; Black-Scholes equation and Greeks; Derivatives as Hedging Instrument; American and Exotic Options; Numerical methods for pricing derivatives
Mode of delivery
face to face
Type
compulsory
Recommended or required reading and other learning resources/tools
Hull, J., 2018, Options, futures, and other derivatives, 9th ed., Pearson; Benninga, S., 2014, Financial modelling: uses Excel, 4th ed., MIT Press
Planned learning activities and teaching methods
Interactive teaching (lecture and discussion), solving exercises with pencil and calculator as well as with MS Excel during the course, quizzes.
Assessment methods and criteria
The course assessment is based on 2 assignments (10 points each), 5 points for quizzes and in-class contributions, 5 points for group presentations and 70 points for the final exam.
Prerequisites and co-requisites
Courses in quantitative methods
Infos
Degree programme
Quantitative Asset and Risk Management (Master)
Cycle
Master
ECTS Credits
2.00
Language of instruction
English
Curriculum
Part-Time
Academic year
2023
Semester
1 WS
Incoming
Yes
Learning outcome
After accomplishment of the course students are able to categorize and describe different types of derivatives (forwards, futures and options) and apply different mathematical models to calculate prices for them. They can explain the binomial model and its extension in continuous time to the Black-Sholes model. Furthermore, they are able to demonstrate critical thinking and analytical problem-solving skills to reflect on the viability of the models in real world markets and to integrate derivatives into an investment approach, e.g. for hedging purposes.
Course code
0613-09-01-BB-EN-07