70 Pages Posted: 17 Mar 2009 Last revised: 17 Apr 2014
Date Written: August 16, 2014
I investigate determinants of trading volume for NASDAQ stocks in the two largest “dark pools” that cater to large institutional trades: Liquidnet and POSIT. I find that these dark pools capture a lower faction of institutional volume for stocks with higher levels of adverse selection, which is consistent with the prediction from Zhu (2013), but inconsistent with the prediction from Ye (2011). Orders in stocks with higher percentage spreads are less likely to be routed to these dark pools, which is consistent with the predictions from Zhu (2013) and Buti et al (2011a) but inconsistent with the predictions from Hendershott and Mendelson (2000) and Degryse et al. (2009). I also show that usage of these dark pools is lower for stocks with the lowest dollar spreads per share, which is consistent with trader routing of these stocks to other venues in order to satisfy soft-dollar agreements.
Keywords: Microstructure, Liquidity, Trading Volume, Simulated Method of Moments
JEL Classification: G12, G14
Suggested Citation: Suggested Citation
Ready, Mark J., Determinants of Volume in Dark Pool Crossing Networks (August 16, 2014). AFA 2010 Atlanta Meetings Paper. Available at SSRN: https://ssrn.com/abstract=1361234 or http://dx.doi.org/10.2139/ssrn.1361234
By Haoxiang Zhu