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Journal ArticleDOI

Competition for Order Flow and Smart Order Routing Systems

Thierry Foucault, +1 more
- 01 Feb 2008 - 
- Vol. 63, Iss: 1, pp 119-158
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TLDR
In this paper, the authors study changes in liquidity following the introduction of a new electronic limit order market when trading is centralized in a single-limit order market and also study how automation of routing decisions and trading fees affect the relative liquidity of rival markets.
Abstract
We study changes in liquidity following the introduction of a new electronic limit order market when, prior to its introduction, trading is centralized in a single limit order market. We also study how automation of routing decisions and trading fees affect the relative liquidity of rival markets. The theoretical analysis yields three main predictions: (i) consolidated depth is larger in the multiple limit order markets environment, (ii) consolidated bid-ask spread is smaller in the multiple limit order markets environment and (iii) the liquidity of the entrant market relative to that of the incumbent market increases with the level of automation for routing decisions (the proportion of "smart routers"). We test these predictions by studying the rivalry between the London Stock Exchange (entrant) and Euronext (incumbent) in the Dutch stock market. The main predictions of the model are supported.

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Citations
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Does Algorithmic Trading Improve Liquidity

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High frequency trading and the new market makers

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Rise of the Machines: Algorithmic Trading in the Foreign Exchange Market

TL;DR: This article studied the impact of algorithmic trading in the foreign exchange market using a long time series of high-frequency data that identify computer-generated trading activity and found that the reduction in arbitrage opportunities is associated primarily with computers taking liquidity.
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Is Market Fragmentation Harming Market Quality

TL;DR: In this paper, the authors examine how fragmentation of trading is affecting the quality of trading in U.S. markets and find that market fragmentation generally reduces transactions costs and increases execution speeds.
References
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Journal ArticleDOI

A Theory of Intraday Patterns: Volume and Price Variability

TL;DR: In this paper, the authors developed a theory that concentrated trading patterns arise endogenously as a result of the strategic behavior of liquidity traders and informed traders and provided a partial explanation for some of the recent empitical findings concerning the patterns of volume and price variability in intraday transaction data.
Journal ArticleDOI

Is the Electronic Open Limit Order Book Inevitable

TL;DR: In this article, the authors provided an analysis of an idealized electronic open limit order book and showed that the order book has a small-trade positive bid-ask spread, and limit orders profit from small trades.
Journal ArticleDOI

Multimarket Trading and Market Liquidity

TL;DR: In this article, the authors show that the proportion of liquidity trading by large traders who can split their trades across markets, the larger is the correlation between volume in different markets and the smaller is the informativeness of prices, and that one of the markets emerges as the dominant location for trading in that security.
Journal ArticleDOI

Trading Volume and Asset Liquidity

TL;DR: In this paper, the authors consider the problem of off-exchange search in a two-market market, where trade is equally costly across markets and this externality leads to the concentration of trade on one market.
Journal ArticleDOI

Liquidity Provision with Limit Orders and a Strategic Specialist

TL;DR: In this paper, a microstructure model of liquidity provision in which a specialist with market power competes against a competitive limit order book is presented, and general solutions, comparative statics and examples are provided first with uninformative orders and then when order flows are informative.
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