GRA 6535 Derivatives
GRA 6535 Derivatives
This course provides a thorough understanding of the workings and pricing of derivative securities.
We cover model-free no-arbitrage bounds for derivatives prices, the binomial model and its continuous time limit, the mathematics of continuous time, the Black-Scholes model and its derivation, adjusting the Black-Scholes and binomial models to price futures and currency options, delta hedging and other hedging techniques, exotic derivatives, real options, credit risk, etc. A significant part of the course focuses on the numerical valuation of options.
By the end of the course the students are expected to know:
- model-free, binomial, and Black-Scholes pricing of options
- hedging of options
By the end of the course the students are expected to be able to:
- value standard and exotic options using formulas or simple trees
- code up option pricing models as trees or us Monte Carlo
The students by the end of the course are expected to be able to understand the workings and limitations of option pricing theory.
1. Introduction
- Options markets
- Model-free no-arbitrage bounds
- Trading strategies with options
2. Pricing
- Binomial trees
- Wiener processes, Ito's lemma, Black-Scholes-Merton and beyond
- The Greeks
3. Numerical Methods and Applications
- Empirical performance of option pricing models, volatility smiles
- Numerical techniques, exotic options
- Real options, credit Risk
- International derivatives markets
Mostly lectures with theory, examples, in-class discussion, and exercises.
Please note that while attendance is not compulsory in all courses, it is the student’s own responsibility to obtain any information provided in class.
This is a course with continuous assessment (several exam components) and one final exam code. Each exam component is graded by using points on a scale from 0-100. The components will be weighted together according to the information in the course description in order to calculate the final letter grade for the examination code (course). Students who fail to participate in one/some/all exam elements will get a lower grade or may fail the course. You will find detailed information about the point system and the cut off points with reference to the letter grades when the course starts.
At resit, all exam components must, as a main rule, be retaken during next scheduled course.
Honour Code
Academic honesty and trust are important to all of us as individuals, and represent values that are encouraged and promoted by the honour code system. This is a most significant university tradition. Students are responsible for familiarizing themselves with the ideals of the honour code system, to which the faculty are also deeply committed.
Any violation of the honour code will be dealt with in accordance with BI’s procedures for cheating. These issues are a serious matter to everyone associated with the programs at BI and are at the heart of the honour code and academic integrity. If you have any questions about your responsibilities under the honour code, please ask.
All courses in the Masters programme will assume that students have fulfilled the admission requirements for the programme. In addition, courses in second, third and/or fourth semester can have spesific prerequisites and will assume that students have followed normal study progression. For double degree and exchange students, please note that equivalent courses are accepted.
Covid-19
Due to the Covid-19 pandemic, there may be deviations in teaching and learning activities as well as exams, compared with what is described in this course description.
Teaching
Information about what is taught on campus and other digital forms will be presented with the lecture plan before the start of the course each semester.
College-level calculus (limit, differentiation, integration, Taylor expansion, etc), probability theory (cdf and pdf, common distributions, expectation, variance, etc), and basic knowledge in R (matrix indexation, basic operations, loop, if, plot, etc).
| Assessments |
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Exam category: Submission Form of assessment: Written submission Weight: 20 Grouping: Group (2 - 3) Duration: 48 Hour(s) Comment: Take-home examination Exam code: GRA65353 Grading scale: Point scale leading to ECTS letter grade Resit: All components must, as a main rule, be retaken during next scheduled course |
Exam category: Submission Form of assessment: Written submission Invigilation Weight: 80 Grouping: Individual Support materials:
Duration: 3 Hour(s) Comment: Written examination under supervision. Exam code: GRA65353 Grading scale: Point scale leading to ECTS letter grade Resit: All components must, as a main rule, be retaken during next scheduled course |
A course of 1 ECTS credit corresponds to a workload of 26-30 hours. Therefore a course of 6 ECTS credits corresponds to a workload of at least 160 hours.