Algorithmic Liquidity Provision
Algorithmic Liquidity Provision is a systematic method within market liquidity frameworks that employs automated, rule-based algorithms to dynamically supply or adjust liquidity in financial markets by determining optimal bid and ask prices, trading volumes, and timing in response to real-time market conditions.
48
Publications
3.2K
Citations
97
Authors
87
Institutions
Publications per year
2017–2026
25
Parents
48
Rise of the Machines: Algorithmic Trading in the Foreign Exchange Market
Alain Chaboud, Benjamin Chiquoine, Erik Hjalmarsson et al. · The Journal of Finance · 2014 · 632 citations · Full text
Does Algorithmic Trading Improve Liquidity?
Terrence Hendershott, Charles M. Jones, Albert J. Menkveld · The Journal of Finance · 2011 · 486 citations · Full text
International Evidence on Algorithmic Trading
Ekkehart Boehmer, Kingsley Y. L. Fong, Juan Wu · SSRN Electronic Journal · 2012 · 223 citations · Full text
Algorithmic Trading and Information
Terrence Hendershott, Ryan Riordan · SSRN Electronic Journal · 2011 · 191 citations · Full text
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87
University of California, Berkeley
Berkeley, United States
4 h-index
4 publications
774 citations
University of Oxford
Oxford, United Kingdom
4 h-index
10 publications
198 citations
Federal Reserve
Washington D.C., United States
3 h-index
11 publications
2.7K citations
Federal Reserve Board of Governors
Washington D.C., United States
3 h-index
11 publications
2.7K citations
Universitat de les Illes Balears
Palma, Spain
3 h-index
3 publications
56 citations

UNSW Sydney
Sydney, Australia
3 h-index
2 publications
347 citations
Quantitative BioSciences
Solana Beach, United States
2 h-index
6 publications
132 citations
Mansfield University
Mansfield, United States
2 h-index
3 publications
74 citations
1–8 of 87
Repository · 17 publications · 900 citations
14
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Repository · 4 publications · 104 citations
4
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3 publications · 1.2K citations
3
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2 publications · 105 citations
2
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1 publications · 12 citations
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