STA 4505H – High Frequency & Algorithmic trading
Important:
If you are interested in taking this course, please read through chapters 1-4 of Shreve's book on Stochastic Calculus for finance volume 2. Spend more time on chapters 3 and 4, with a light reading of chapters 1 and 2.
The video lectures 7, 8 and 9 from STA 2502 may also be helpful.
The course is open for auditing, however, if you are currently not enrolled as a student at the University of Toronto, there is an auditing fee. Email me for more information.
Location :
************ NEW CLASS ROOMS ************
Tues, Apr 11 class in SS 1088 -- CANCELED
Tues, Apr 18 class in SS 1088, 6pm - 9pm
Wed, Apr 19 class in SS 1088, 6pm - 9pm
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Lectures: RW 143, Tuesday's 6pm - 9pm, First class Feb 28, 2017
Outline:
With the availability of high frequency financial data, new areas of research in stochastic modeling and stochastic control have opened up. This 6 week course will introduce students to the basic concepts, questions and methods that arise in this domain. We will begin with the classical market microstructure models, understand different theories of price formation and price discovery, identify different types of market participants, and then move on to reduced form models. Next, we will investigate some of the typical algorithmic trading strategies employed in industry for different asset classes. Finally, we will develop stochastic optimal control problems for solving optimal liquidation and high frequency market making problems and demonstrate how to solve those problems using the principles of dynamic programming leading to Hamilton-Jacobi-Bellman equations. Students will also have a chance to work with historical limit order book data, develop Monte Carlo simulations and gain a working knowledge of the models and methods. Tentative topics include:
- Limit Order Books
- Overview of Stochastic Calculus
- Stochastic Control & Dynamic Programming
- Optimal Execution
- Market Making
- Statistical Arbitrage
- Classification
Class Notes / Lectures :
Class notes and videos will be updated as the course progresses.
This short course is based off of my book Algorithmic and High-Frequency Trading. Available at amazon.co.uk
| # | Description | Video | Notes |
|---|---|---|---|
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Grading Scheme:
Here is a tentative grading scheme, we will discuss this during the first class.
| Item | Grade |
| Assignment | 20% |
| Report | 40% |
| Presentation | 40% |
Report and Presentation will be based on students implementing some of the models we discuss in class as well as reporting on a collection of relevant papers.