Arbeitspapier

Frequent batch auctions and informed trading

We study liquidity provision by competitive high-frequency trading firms (HFTs) in a dynamic trading model with private information. Liquidity providers face adverse selection risk from trading with privately informed investors and from trading with other HFTs that engage in latency arbitrage upon public information. The impact of the two different sources of risk depends on the details of the market design. We determine equilibrium transaction costs in continuous limit order book (CLOB) markets and under frequent batch auctions (FBA). In the absence of informed trading, FBA dominates CLOB just as in Budish et al. (2015). Surprisingly, this result does no longer hold with privately informed investors. We show that FBA allows liquidity providers to charge markups and earn profits - even under risk neutrality and perfect competition. A slight variation of the FBA design removes the inefficiency by allowing traders to submit orders conditional on auction excess demand.

Language
Englisch

Bibliographic citation
Series: SAFE Working Paper ; No. 344

Classification
Wirtschaft
General Financial Markets: General (includes Measurement and Data)
Market Design
Subject
market design
market microstructure
liquidity provision
high-frequency trading
continuous limit order book
frequent batch auctions
sniping
latency arbitrage

Event
Geistige Schöpfung
(who)
Eibelshäuser, Steffen
Smetak, Fabian
Event
Veröffentlichung
(who)
Leibniz Institute for Financial Research SAFE
(where)
Frankfurt a. M.
(when)
2022

Handle
Last update
10.03.2025, 11:45 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Eibelshäuser, Steffen
  • Smetak, Fabian
  • Leibniz Institute for Financial Research SAFE

Time of origin

  • 2022

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