2015
DOI: 10.1093/rfs/hhv045
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Trading Fast and Slow: Colocation and Liquidity

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Cited by 207 publications
(92 citation statements)
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References 26 publications
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“…Gai, Yao & Ye (2013) also find that order book liquidity improves, but through more depth rather than an improved spread. Brogaard et al (2015b) study a colocation event in which traders are given various options. They find that the fastest colocation service is primarily used for HFT market making.…”
Section: High-frequency Market Makingmentioning
confidence: 99%
See 1 more Smart Citation
“…Gai, Yao & Ye (2013) also find that order book liquidity improves, but through more depth rather than an improved spread. Brogaard et al (2015b) study a colocation event in which traders are given various options. They find that the fastest colocation service is primarily used for HFT market making.…”
Section: High-frequency Market Makingmentioning
confidence: 99%
“…An exchange fosters such speed heterogeneity by offering a menu of colocation services, with faster ones being more expensive. Brogaard et al (2015b) study trading before and after an exchange offered a richer menu of colocation services. If exchanges strive for maximum trade among investors, then such encouragement of speed heterogeneity is evidence that they believe intermediation chains are good for trade.…”
Section: Evidencementioning
confidence: 99%
“…One study found that increasing the speed of market-making participants has positive benefits to market liquidity. (Brogaard et al, 2015). Another study identified clusters of extremely high and extremely low limit-order cancellation activity, observing that HFTs bring efficiency to the market without the need to have executions at intermediate prices (Blocher et al, 2016).…”
Section: Financial Innovation: the Collateralized Debt Obligation (Cdo)mentioning
confidence: 99%
“…The OTR takes advantage of a typical trading behavior of HFT firms, i.e., submitting many orders to the exchange while executing only a small portion of them due to massive amounts of order deletions and modifications. Several academic studies use the OTR to measure HFT activity in order to investigate different effects of HFT on securities markets (Brogaard et al, 2015;Jørgensen et al, 2016;Malinova et al, 2016). Besides researchers, also regulators rely on the OTR as a measure for HFT and have passed acts that enforce trading venues to charge fees for traders with excessive OTRs (e.g., German High-Frequency Trading Act, 2013;Friederich and Payne, 2015).…”
Section: Fragmentation and High-frequency Tradingmentioning
confidence: 99%