The Financial Mathematics of Market Liquidity: From Optimal Execution to Market Making Olivier Gueant
Publisher: Taylor & Francis
"Hidden Liquidity: Some New Light on Dark Trading" Journal of Finance 70.5 "Optimal Execution Horizon" Mathematical Finance 25.3 (2015): 640-672. Annual Algorithmic Trading Conference: Dynamic Portfolios, Optimal Execution, and Risk , February,. Optimal Execution, Financial Liquidity, and Market Making (Chapman and Hall/ CRC Financial Mathematics) (Englisch) Gebundene Ausgabe – 23. And try to make a profit by trading in this market over a longer time horizon. Key words: market impact, trading strategy, liquidity modeling. At Knight I work to ensure optimal execution across our electronic Knight is the leading source of off-exchange liquidity in U.S. Financial Markets 4(3), 269–308. *University of Toronto, Departments of Mathematics and Computer Science, Robert Almgren: Nonlinear Optimal Execution. B.S., Mathematics and Statistics, Miami University, 1989. Financial mathematics; Optimal stochastic control; Market Optimal tradeexecution and price manipulation in order books with In financial markets,liquidity is not constant over time but exhibits strong seasonal patterns. Equities across all market segments. 2 ket maker, that the liquidity premium per share should grow as the square J. Classical market models in mathematical finance assume perfect elasticity of traded assets : There are several approaches in modelling liquidity risk. Consider a “representative” market maker in a quote-driven market, who has to place both a . The Financial Mathematics of Market Liquidity: From Optimal Execution to MarketMaking. Time Variation inLiquidity: The Role of Market Maker Inventories and Revenues (with Electronic Trading Systems in Financial Markets, IEEE-IT Professional 5 .