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

Copyright Owner and License

Authors

Additional URL

https://doi.org/10.1093/rfs/hhx144

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