EconPapers    
Economics at your fingertips  
 

Speed and learning in high-frequency auctions

Marlene Haas, Mariana Khapko and Marius Zoican

Journal of Financial Markets, 2021, vol. 54, issue C

Abstract: Faster trading improves liquidity in periodic call auction markets, in contrast to continuous-time markets. We build a model where high-frequency traders (HFTs) engage in duels to trade on stale quotes. More frequent periodic auctions increase the likelihood that a single HFT arrives in any given auction and subsequently acts as a monopolist on information. Higher trading speed increases the expected number of arbitrageurs participating in auctions, promoting competition between snipers and improving liquidity. We find that faster trading and longer auction intervals are substitute instruments to reduce bid-ask spreads. Relative to continuous-time trading, periodic batch auctions reduce HFT informational rents.

Keywords: High-frequency trading; Batch auction markets; Liquidity; Adverse selection (search for similar items in EconPapers)
JEL-codes: D43 D47 G10 G14 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1386418120300525
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:finmar:v:54:y:2021:i:c:s1386418120300525

DOI: 10.1016/j.finmar.2020.100583

Access Statistics for this article

Journal of Financial Markets is currently edited by B. Lehmann, D. Seppi and A. Subrahmanyam

More articles in Journal of Financial Markets from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2022-01-04
Handle: RePEc:eee:finmar:v:54:y:2021:i:c:s1386418120300525