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File name: SSRN-id2038786. ; Size: 263K
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Algorithmic Trading and the Market for Liquidity
Terrence Hendershott University of California, Berkeley - Haas School of Business
Ryan Riordan University of Ontario Institute of Technology - Faculty of Business and Information Technology
April 11, 2012
Journal of Financial and Quantitative Analysis (JFQA), Forthcoming
Abstract:
We examine the role of algorithmic traders (AT) in liquidity supply and demand in the 30 DAX stocks on the Deutsche Boerse in January 2008. AT represent 52% of market order volume and 64% of nonmarketable limit order volume. AT more actively monitor market liquidity than human traders. AT consume liquidity when it is cheap, i.e., when the bid-ask quotes are narrow, and supply liquidity when it is expensive. When spreads are narrow AT are less likely to submit new orders, less likely to cancel their orders, and more likely to initiate trades. AT react more quickly to events and even more so when spreads are wide.
Number of Pages in PDF File: 45
Keywords: algorithmic trading, liquidity, market monitoring
JEL Classification: G10, G14
Accepted Paper Series
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Date posted: February 9, 2012
; Last revised: April 12, 2012
Suggested CitationHendershott, Terrence and Riordan, Ryan, Algorithmic Trading and the Market for Liquidity (April 11, 2012). Journal of Financial and Quantitative Analysis (JFQA), Forthcoming. Available at SSRN: http://ssrn.com/abstract=2001912 or http://dx.doi.org/10.2139/ssrn.2001912
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