2013
DOI: 10.1080/14697688.2013.803148
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Limit order books

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Cited by 231 publications
(129 citation statements)
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References 128 publications
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“…The six futures contracts we examine are the most liquid contracts in their specific category, therefore liquidity should not be a differentiating factor. However, Gould et al (2013) state that different order matching mechanisms of the exchanges can cause traders to behave in differing ways. The FIFO (First In, First Out) order matching algorithm encourages market participants to place limit orders early in order to obtain time priority.…”
Section: Discussionmentioning
confidence: 97%
See 1 more Smart Citation
“…The six futures contracts we examine are the most liquid contracts in their specific category, therefore liquidity should not be a differentiating factor. However, Gould et al (2013) state that different order matching mechanisms of the exchanges can cause traders to behave in differing ways. The FIFO (First In, First Out) order matching algorithm encourages market participants to place limit orders early in order to obtain time priority.…”
Section: Discussionmentioning
confidence: 97%
“…Gould et al (2013) specify that the tick size is an asset specific feature that can affect order placement within a limit order book. In particular, the tick size determines how expensive it is for a trader to gain priority in the limit order book by choosing a higher (lower) price for a buy (sell) limit order.…”
Section: Discussionmentioning
confidence: 99%
“…In order to grasp the implications of the empirical proof on the existence of technical arbitrage opportunities in low-latency environments as it is provided by Budish et al (2013), I will first review the basic mechanics of their model. The practical relevance of the environment described by Budish et al (2013) becomes apparent when considering that "limit order books match buyers and sellers in more than half of the world's financial markets" (Gould et al 2013(Gould et al , p. 1709. In their analysis, Budish et al (2013) show that HFT traders can exploit arbitrage opportunities due to correlation breakdowns between ES and SPY.…”
Section: Technical Arbitrage Opportunities and Hftmentioning
confidence: 99%
“…Kyle (1985), Holden and Subrahmanyam (1992), and Grossman and Stiglitz (1980) provide some insights but must be interpreted cautiously as these models implement pricing mechanisms other than LOMs. The same constraints apply to experimental studies as no study specifically focuses on competition issues 1 See Parlour and Seppi (2008) and Gould et al (2013) for surveys on limit order markets. Examples for limit order markets are: Euronext (Brussels, Amsterdam, Paris), Stockholm Stock Exchange, Toronto Stock Exchange, and Archipelago Exchange.…”
Section: Rq 1) How Does Competition Among Insiders Affect Price Efficmentioning
confidence: 99%