Order Exposure in High-Frequency Markets

Abstract 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.

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Publication Details

Journal
Journal of Financial and Quantitative Analysis
Published
2025-09-12
DOI
https://doi.org/10.1017/s0022109025101282
Primary Topic
Complex Systems and Time Series Analysis
Type
article
Field-Weighted Citation Impact
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article

Order Exposure in High-Frequency Markets

Bidisha Chakrabarty, Terrence Hendershott, Samarpan Nawn, Roberto Pascual
Journal of Financial and Quantitative Analysis
Complex Systems and Time Series Analysis
article

Order Exposure in High-Frequency Markets

Bidisha Chakrabarty, Terrence Hendershott, Samarpan Nawn, Roberto Pascual
article en

Abstract

Abstract 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.

Journal of Financial and Quantitative AnalysisVol. 61(1)
UCLouvain Saint-Louis Brussels (BE), Indian Institute of Management Udaipur (IN), Saint Louis University (US), Universitat de les Illes Balears (ES), University of California, Berkeley (US)
Openalex Percentile: Top 66%
Complex Systems and Time Series Analysis
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