Article ID Journal Published Year Pages File Type
5088468 Journal of Banking & Finance 2016 15 Pages PDF
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 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.

Related Topics
Social Sciences and Humanities Economics, Econometrics and Finance Economics and Econometrics
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