Order Exposure in High-Frequency Markets

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dc.contributor.author B. Chakrabarty
dc.contributor.author T. Hendershott
dc.contributor.author S. Nawn
dc.contributor.author R. Pascual
dc.date.accessioned 2025-09-17T11:08:40Z
dc.date.available 2025-09-17T11:08:40Z
dc.identifier.citation Chakrabarty, B., Hendershott, T., Nawn, S. i Pascual, R. (2025). Order Exposure in High-Frequency Markets. Journal of Financial and Quantitative Analysis, 1-38. https://doi.org/https://doi.org/10.1017/S0022109025101282 ca
dc.identifier.uri http://hdl.handle.net/11201/171320
dc.description.abstract [eng] We examine hidden orders usage by algorithmic traders (ATs) and nonATs. ATs extensively use hidden orders but of smaller size than nonATs, who are the primary contributors to hidden volume. ATs’ relative share of hidden volume decreases with volatility, adverse selection costs, and the relative tick-size. Proprietary ATs (HFTs), who differ from agency ATs (AATs) in their information sets and potential gains from trade, hide orders to reduce competition for liquidity provision, whereas AATs use hidden orders to conceal information in their more informed orders and manage picking-off risk. Finally, superior technology provides limited benefit for hidden order execution. en
dc.format application/pdf en
dc.format.extent 1-38
dc.publisher Cambridge University Press en
dc.relation.ispartof Journal of Financial and Quantitative Analysis, 2025, p. 1-38
dc.rights Attribution 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.subject.classification 33 - Economia ca
dc.subject.other 33 - Economics. Economic science en
dc.title Order Exposure in High-Frequency Markets en
dc.type info:eu-repo/semantics/article
dc.type info:eu-repo/semantics/publishedVersion
dc.type Article
dc.date.updated 2025-09-17T11:08:41Z
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.identifier.doi https://doi.org/https://doi.org/10.1017/S0022109025101282


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