首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Fast and slow cancellations and trader behavior
Authors:Thomas H McInish  Olena Nikolsko-Rzhevska  Alex Nikolsko-Rzhevskyy  Irina Panovska
Institution:1. Fogelman College of Business and Economics, University of Memphis, Memphis, Tennessee;2. Department of Finance, Lehigh University, Bethlehem, Pennsylvania;3. Department of Economics, Lehigh University, Bethlehem, Pennsylvania;4. Department of Economics, University of Texas at Dallas, Richardson, Texas
Abstract:We investigate how short-lived liquidity supply due to order cancellations affects the order-placement behavior of slow traders. When order cancellations increase, slow traders submit fewer and less aggressive orders. Both short- and long-lived liquidity supply have positive effects on the market overall, reducing spreads and increasing depth. We conclude that it is not necessary to require limit orders to have a minimum lifespan. We develop econometric and machine-learning frameworks that allow traders to predict whether a quote is likely to have a short or long life, increasing the ability of slow traders to respond strategically to changing order flow.
Keywords:order cancellations  liquidity provision  machine learning  algorithmic trading
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号