Aldrich, Eric M and Friedman, Daniel (2023) Order Protection Through Delayed Messaging. Management Science, 69 (2). pp. 774-790. DOI https://doi.org/10.1287/mnsc.2022.4370
Aldrich, Eric M and Friedman, Daniel (2023) Order Protection Through Delayed Messaging. Management Science, 69 (2). pp. 774-790. DOI https://doi.org/10.1287/mnsc.2022.4370
Aldrich, Eric M and Friedman, Daniel (2023) Order Protection Through Delayed Messaging. Management Science, 69 (2). pp. 774-790. DOI https://doi.org/10.1287/mnsc.2022.4370
Abstract
Several financial exchanges (e.g., IEX and NYSE American) recently introduced messaging delays to protect ordinary investors from high-frequency traders who exploit stale orders. To capture the impact of such delays, we propose a simple parametric model of the continuous double auction market format. The model examines the dynamics of midpoint pegged order queues and finds their steady states. It shows how messaging delays can protect pegged orders and improve investor welfare, but typically increase queuing costs. Recently available field data show that the empirical distribution of queued pegged orders is highly leptokurtotic and resembles the discrete Laplace distribution predicted by the model.
Item Type: | Article |
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Uncontrolled Keywords: | high-frequency trading; continuous double auction; pegged orders; IEX |
Divisions: | Faculty of Social Sciences Faculty of Social Sciences > Economics, Department of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 22 Mar 2022 14:20 |
Last Modified: | 07 Aug 2024 20:10 |
URI: | http://repository.essex.ac.uk/id/eprint/32577 |
Available files
Filename: AF2022ManSci.pdf