The workshop consisted of invited talks from some of the world’s most prominent researchers in the field, round-table discussions of key questions related to market microstructure in industry, and a poster session designed to provide young researchers with a platform to present and discuss their work.
09:00 – 09:30 Registration
09:30 – 09:45 Welcome by Jean-Philippe Bouchaud
OPTIMAL TRADING & MARKET IMPACT
09:45 – 10:30 DAMIANO BRIGO (Imperial College London): Optimal Execution Under Different Dynamics, Criteria and Solutions Class
10:30 – 11:15 JOSE FIGUEROA-LOPEZ (Washington University): Optimal Placement of a Small Order in a Diffusive Limit Order Book
11:15 – 12:00 JOHANNES MUHLE-KARBE (Carnegie Mellon University): Equilibrium Price Impact
12:00 – 13:30 LUNCH
ROUNDTABLE
13:30 – 15:30 What Will European Market Structure Look Like After Mifid II?
Moderation by Charles-Albert Lehalle
15:30 – 16:15 COFFEE BREAK
ORDERBOOK DYNAMICS AND PREDICTIVE SIGNALS
16:15 – 17:00 EYAL NEUMAN (Imperial College London): Incoporating Signals Into Optimal Trading
17:00 – 17:45 SASHA STOIKOV (Cornell University): The Micro-Price
17:45 – 19:30 COCKTAILS
19:45 – ……… DINNER (additional £40)
PREDICTIVE SIGNALS AND THEIR OPTIMAL USE
09:45 – 10:30 MARVIN MULLER (ETH Zurich): Limit Order Books: Tractable SPDE Models
10:30 – 11:15 DAVID FELLAH (J.P. Morgan): Active Learning in Trading Algorithms
11:15 – 12:00 KHALIL DAYRI (Bloomberg Tradebook): Practical Considerations For Trading In Dark Pools
12:00 – 14:15 LUNCH & POSTER SESSION
HIGH FREQUENCY TRADERS’ BEHAVIOUR
14:15 – 15:00 PAMELA SALIBA (AMF and Université Pierre et Marie Curie): The Behaviour of High-Frequency Traders Under Different Market Stress Scenario
15:00 – 15:45 CARLA YSUSI (FCA London): Are High-Frequency Traders Anticipating the Order Flow? Cross-Venue Evidence from the UK Market
15:45 – 16:15 COFFEE BREAK
CROSS MARKET IMPACT
16:15 – 17:00 IACOPO MASTROMATTEO (CFM, Paris): Insights From Cross-Impact: What Really Is a Financial Instrument?
17:00 – 17:45 FABRIZIO LILLO (Univerista’ di Bologna): A Score-Driven Conditional Correlation Model for Noisy and Asynchronous Data: an Application to High-Frequency Covariance Dynamics