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Journal of Financial and Quantitative Analysis Vol. 56 No. 8 2021

Algorithmic Trading and Market Quality: International Evidence

Ekkehart Boehmer1; Kingsley Y. L. Fong2; Juan Wu3,4

1 Singapore Management University · 2 UNSW Sydney · 3 University of Nebraska–Lincoln · 4 Lincoln College

Abstract

We study the effect of algorithmic trading (AT) on market quality between 2001 and 2011 in 42 equity markets around the world. We use an exchange colocation service that increases AT as an exogenous instrument to draw causal inferences about AT on market quality. On average, AT improves liquidity and informational efficiency but increases short-term volatility. Importantly, AT also lowers execution shortfalls for buy-side institutional investors. Our results are surprisingly consistent across markets and thus across a wide range of AT environments. We further document that the beneficial effect of AT is stronger in large stocks than in small stocks.

DOI
10.1017/s0022109020000782
Volume
56
Issue
8
Pages
2659-2688
Language
en
Sources
bibtex:phds-export.bib openalex crossref

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