Does Algorithmic Trading Improve Liquidity?
University of California, Berkeley - Haas School of Business
Charles M. Jones
Columbia Business School - Finance and Economics
Albert J. Menkveld
VU University Amsterdam; Tinbergen Institute - Tinbergen Institute Amsterdam (TIA)
August 30, 2010
Journal of Finance, Vol. 66, pp. 1-33
WFA 2008 Paper
Algorithmic trading has sharply increased over the past decade. Does it improve market quality, and should it be encouraged? We provide the first analysis of this question. The NYSE automated quote dissemination in 2003, and we use this change in market structure that increases algorithmic trading as an exogenous instrument to measure the causal effect of algorithmic trading on liquidity. For large stocks in particular, algorithmic trading narrows spreads, reduces adverse selection, and reduces trade-related price discovery. The findings indicate that algorithmic trading improves liquidity and enhances the informativeness of quotes.
Number of Pages in PDF File: 54
Date posted: March 5, 2008 ; Last revised: July 27, 2011
© 2015 Social Science Electronic Publishing, Inc. All Rights Reserved.
This page was processed by apollo1 in 0.453 seconds