2020
DOI: 10.1017/s002210901900067x
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Order-Flow Segmentation, Liquidity, and Price Discovery: The Role of Latency Delays

Abstract: Latency delays intentionally slow order execution at an exchange, often to protect market makers against latency arbitrage. We study informed trading in a fragmented market in which one exchange introduces a latency delay on market orders. Liquidity improves at the delayed exchange as informed investors emigrate to the conventional exchange, where liquidity worsens. In aggregate, implementing a latency delay worsens total expected welfare. We find that the impact on price discovery depends on the relative abun… Show more

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Cited by 27 publications
(9 citation statements)
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“…The limit order book model by Baldauf and Mollner (2020) incorporates the random communication latency within the exchange system. Brolley and Cimon (2020) extend a model from Baldauf and Mollner (2020) by assuming that the market makers were endogenously affected by latency delay. Biais et al (2015) predict that speed arms race pushes venues to extensively invest in speed technology innovation,…”
Section: Speed Race (Low Latency)mentioning
confidence: 99%
“…The limit order book model by Baldauf and Mollner (2020) incorporates the random communication latency within the exchange system. Brolley and Cimon (2020) extend a model from Baldauf and Mollner (2020) by assuming that the market makers were endogenously affected by latency delay. Biais et al (2015) predict that speed arms race pushes venues to extensively invest in speed technology innovation,…”
Section: Speed Race (Low Latency)mentioning
confidence: 99%
“…For example, the TSX Alpha speed bump was introduced alongside a fee structure change. Third, exchanges adopt speed bumps to obtain a competitive advantage (Brolley and Cimon, 2018): they are consequently designed to maximize exchange profits rather than eliminate the high-frequency arms' race. In light of these challenges, we design a laboratory experiment to test the impact of speed bumps on latency investments.…”
Section: Table 1: Speed Bump Implementations and Existing Proposalsmentioning
confidence: 99%
“…Our model shares the same interests as the studies on the impact of slow market structures, such as frequent batch auctions (Budish et al, 2015;Haas and Zoican, 2016) and speed bumps (Baldauf and Mollner, 2017;Brolley and Cimon, 2017;Aldrich and Friedman, 2018), on HFTs' behavior and adverse selection for market makers. However, they do not consider a continuous optimal speed decision by HFTs with a delay-sensitive endogenous cost.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Finally, as in Haas and Zoican (2016) and Brolley and Cimon (2017), assume that trading information, including traders' identity, becomes public immediately after an order is executed, i.e., the market is perfectly transparent.…”
Section: Tradersmentioning
confidence: 99%