Alternative Title
Correlated high-frequency trading
Publication Type
Journal Article
Version
submittedVersion
Publication Date
6-2018
Abstract
We examine product differentiation in the high-frequency trading (HFT) industry, where the “products” are secretive proprietary trading strategies. We demonstrate how principal component analysis can be used to detect underlying strategies that are common to multiple HFT firms, and show that there are three product categories with distinct attributes. We study how HFT competition in each product category impacts the market environment, presenting evidence that indicates how it influences the short-horizon volatility of stocks as well as the viability of trading venues.
Keywords
high frequency trading, algorithmic trading, market making, trading strategies
Discipline
Corporate Finance | Finance and Financial Management | Portfolio and Security Analysis
Research Areas
Finance
Publication
Review of Financial Studies
Volume
31
Issue
6
First Page
2227
Last Page
2276
ISSN
0893-9454
Identifier
10.1093/rfs/hhx144
Publisher
Oxford University Press
Citation
BOEHMER, Ekkehart; LI, Dan; and SAAR, Gideon.
The competitive landscape of high-frequency trading firms. (2018). Review of Financial Studies. 31, (6), 2227-2276.
Available at: https://ink.library.smu.edu.sg/lkcsb_research/5328
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1093/rfs/hhx144
Included in
Corporate Finance Commons, Finance and Financial Management Commons, Portfolio and Security Analysis Commons