Algorithmic trading and market quality: International evidence of the impact of errors in colocation dates

B-Tier
Journal: Journal of Banking & Finance
Year: 2023
Volume: 151
Issue: C

Authors (3)

Aitken, Michael (Macquarie University) Cumming, Douglas (not in RePEc) Zhan, Feng (not in RePEc)

Score contribution per author:

0.670 = (α=2.01 / 3 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

This paper examines evidence on colocation dates and their impact on market efficiency. International colocation dates can be sourced from a number of avenues including: [1] an 'exchange's news announcements and reports, [2] news media, and [3] by direct communication with the officers of an exchange. Boehmer et al. (2021) report colocation dates based on [1] and [2] and do not reference prior work that reports colocation dates that are primarily sourced from [3]. The consequence is that the discrepancies between prior studies and Boehmer et al. (2021) are significant and economically meaningful: the errors average 12.75 months with the largest being 46 months. This paper documents these discrepancies and provides evidence of how these differences in colocation dates matter for evidence of their impact on market efficiency.

Technical Details

RePEc Handle
repec:eee:jbfina:v:151:y:2023:i:c:s0378426623000687
Journal Field
Finance
Author Count
3
Added to Database
2026-01-24