COMPG013 - Market Microstructure
This database contains 2017-18 versions of the syllabuses. For current versions please see here.
This module is suitable for MSc Computational Finance and MSc Financial Risk Management students.
Students are expected to have the equivalent of a 2:1 UK bachelor's degree in computer science, mathematics, statistics, physics, engineering or another similar quantitative subject.
Programming experience is not necessary, but a strong background with high performance in mathematics, probability, statistics and econometrics is required.
English language at UCL's Good level is required.
Chris Clack (50%)
This course provides the student with a structured overview over both the main empirical facts and major theoretical approaches in market microstructure. It will comprise of five main parts:
- An introduction to limit order markets.
The course explains the functioning and historical context of limit order driven markets and introduces the main concepts as well as regulatory issues. Empirical investigation of financial data.
- Price impact.
This part focuses on the impact of order book events (market order submissions, limit order submissions, and cancellations) on the market price. Different price impact measures are introduced. The theoretical framework for trade sign correlations, impact and price efficiency is discussed. The impact of a trading strategy (meta-order) is introduced and different theories of meta-order impact are presented.
- The limit order book as a queuing system.
This part introduces zero-intelligence models to describe the high-frequency fluctuations in financial markets. The so-called Santa Fe model, the Cont&Larrard model and more complex approaches are discussed.
- The relationship between impact, the bid-ask spread, the tick size, and liquidity.
This part of the focus introduces regulatory issues related to limit order books. The most advanced theories which explain the relationship between the spread and impact on small-tick stocks, as well as the liquidity and impact on large-tick stocks, are presented. The course closes with a discussion on the optimal market design.
The course covers the main robust empirical facts found in order driven financial markets, such as the distribution of returns, correlations between price changes and the volatility, the intraday pattern of liquidity and the bid-ask spread, and the long memory of the trade sign process. Simple models for the correlated sign process are discussed.
Method of Instruction
The main channels of teaching is the lectures.
The course has the following assessment components:
- Written exam (70%)
- Coursework (30%)
To pass this course, students must:
- Obtain an overall pass mark of 50% for all sections combined.
Reading list available via the UCL Library catalogue.