Paul Besson

Responsable de l'équipe de recherche quantitative, Kepler - Chevreux

Gaëlle Le Fol

Professor in Finance, Head of the Master 203, Université Paris - Dauphine Autres cours :

Jiang Pu

Chercheur, Institut Europlace de Finance

Marchés électroniques

Les objectifs du cours

This course is a presentation of financial markets, trading mechanisms and their evolution dedicated to advancing the understanding and practice of electronic markets. A particular attention will be dedicated to optimal trading and execution technics.

Pré-requis

Les étudiants doivent être inscrits aux cours d'Evaluation de dérivés et calcul stochastique 2 et de Finance numérique et avoir validé Evaluation de dérivés et Calcul stochastique 1 et Investissements et marchés financiers.

Plan du cours

Session 1: The evolution of financial markets, financial market regulation, trading methodology and strategy

Session 2: Identifying and trading on opportunities

Session 3: Trading cost analysis and electronic trading strategies

Session 4: Around the Almgren-Chriss model

Session 5: Dynamic programming and trading strategies

Session 6: Limit order book and market making

Session 7: Reinforcement learning and beyond

Pré-requis: Advanced time series, Machine learning, Python or C++ programming

Bibliographie

Aldridge I., High-frequency trading, Wiley & sons, 2013.

Chan E., Algorithmic Trading- Winning Strategies and Their Rationale, Wiley, 2013.

Hasbrouck J., Empirical Market Microstructure, Oxford University Press, 2007

Lehalle C. A. and S. Laruelle, Market Microstructure in Pratice, World Scientific 2013.

Johnson B, Algorithmic Trading & DMA, Myeloma Press, 2010.

Examen

Group Project: Report + presentation