Professor |
J.R. Zhang
|
Teaching assistant |
Qianru Zhang
|
Syllabus |
This course introduces the major computation problems in the field of financial derivatives and various computational methods/techniques for solving these problems. The lectures start with a short introduction on various financial derivative products, and then move to the derivation of the mathematical models employed in the valuation of these products, and finally come to the solving techniques for the models. |
Introduction by Professor |
The financial industry heavily depends on advanced computing technologies
and mathematical modeling techniques, and is a major employer of computer
science graduates in Hong Kong. In this course, we will present the primary
techniques in computational finance. In particular, we will focus on how to
systematically valuate a financial option and manage its risks. We will also
discuss various practical issues when dealing with options in practice. You
are able to get first-hand experiences from a practitioner. |
Learning Outcomes |
|
Pre-requisites |
No prior finance knowledge is required.
Students are assumed to have basic competence in calculus and probability
(up to the level of knowing the concepts of random variables, normal
distributions, etc.). Knowledge in at least one programming language is
required for the assignments/final project. |
Compatibility |
Students who have taken "COMP7405 Techniques in computational finance" should not be allowed to take
FITE7405. |
Topics covered |
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Assessment |
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Course materials |
Prescribed textbook:
- An introduction to financial option valuation by Desmond
J. Higham
Recommended readings:
- Options, Futures, and other derivatives by John C. Hull
|
Session dates |
|
Add/drop |
16 January, 2023 - 4 February, 2023 |
Maximum class size |
150 |