Equity Trading and the Allocation of Market Data Revenue
47 Pages Posted: 1 Jan 2013
Date Written: July 23, 2012
Abstract
Revenues generated from the sales of consolidated data represent a substantial source of income for U.S. stock exchanges. Until 2007, consolidated data revenue was allocated in proportion to the number of reported trades. This allocation rule encouraged market participants to break up large trades and execute them in multiple pieces. Exchanges devised revenue-sharing and rebate programs that rewarded order-flow providers, and encouraged algorithmic traders to execute strategies involving large numbers of small trades. We provide evidence that data revenue allocation influenced the trading process, by examining trading activity surrounding various events that changed the marginal data revenue per trade.
Keywords: Equity market, Exchange revenue, Trade size
JEL Classification: G10, G14
Suggested Citation: Suggested Citation
Do you have a job opening that you would like to promote on SSRN?
Recommended Papers
-
Does Algorithmic Trading Improve Liquidity?
By Terrence Hendershott, Charles M. Jones, ...
-
The Flash Crash: High-Frequency Trading in an Electronic Market
By Andrei A. Kirilenko, Albert S. Kyle, ...
-
By Joel Hasbrouck and Gideon Saar
-
Rise of the Machines: Algorithmic Trading in the Foreign Exchange Market
By Alain Chaboud, Ben Chiquoine, ...
-
Automation, Speed, and Stock Market Quality: The NYSE’s Hybrid
-
Equilibrium High Frequency Trading
By Thierry Foucault, Sophie Moinas, ...
-
Insiders-Outsiders, Transparency, and the Value of the Ticker
By Giovanni Cespa and Thierry Foucault
-
Insiders-Outsiders, Transparency and the Value of the Ticker
By Giovanni Cespa and Thierry Foucault