Arbeitspapier

Algorithmic trading engines versus human traders: Do they behave different in securities markets?

After exchanges and alternative trading venues have introduced electronic execution mechanisms worldwide, the focus of the securities trading industry shifted to the use of fully electronic trading engines by banks, brokers and their institutional customers. These Algorithmic Trading engines enable order submissions without human intervention based on quantitative models applying historical and real-time market data. Although there is a widespread discussion on the pros and cons of Algorithmic Trading and on its impact on market volatility and market quality, little is known on how algorithms actually place their orders in the market and whether and in which respect this differs form other order submissions. Based on a dataset that for the first time includes a specific flag to enable the identification of orders submitted by Algorithmic Trading engines, the paper investigates the extent of Algorithmic Trading activity and specifically their order placement strategies in comparison to human traders in the Xetra trading system. It is shown that Algorithmic Trading has become a relevant part of overall market activity and that Algorithmic Trading engines fundamentally differ from human traders in their order submission, modification and deletion behavior as they exploit real-time market data and latest market movements.

Sprache
Englisch

Erschienen in
Series: CFS Working Paper ; No. 2009/10

Klassifikation
Wirtschaft
Thema
Electronic Markets
Algorithmic Trading
Order Submission
Securities Trading
Wertpapierhandel
Elektronisches Handelssystem
Börsenmakler
Vergleich
Auftragsabwicklung
Deutschland

Ereignis
Geistige Schöpfung
(wer)
Gomber, Peter
Gsell, Markus
Ereignis
Veröffentlichung
(wer)
Goethe University Frankfurt, Center for Financial Studies (CFS)
(wo)
Frankfurt a. M.
(wann)
2009

Handle
URN
urn:nbn:de:hebis:30-63808
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Gomber, Peter
  • Gsell, Markus
  • Goethe University Frankfurt, Center for Financial Studies (CFS)

Entstanden

  • 2009

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