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
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Englisch
- Bibliographic citation
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Series: SAFE Working Paper ; No. 344
- Classification
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Wirtschaft
General Financial Markets: General (includes Measurement and Data)
Market Design
- Subject
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market design
market microstructure
liquidity provision
high-frequency trading
continuous limit order book
frequent batch auctions
sniping
latency arbitrage
- Event
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Geistige Schöpfung
- (who)
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Eibelshäuser, Steffen
Smetak, Fabian
- Event
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Veröffentlichung
- (who)
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Leibniz Institute for Financial Research SAFE
- (where)
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Frankfurt a. M.
- (when)
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2022
- Handle
- Last update
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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