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High-Frequency-Trading

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  • Peter Gomber
  • Martin Haferkorn

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  • Peter Gomber & Martin Haferkorn, 2013. "High-Frequency-Trading," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 5(2), pages 97-99, April.
    • Handle: RePEc:spr:binfse:v:5:y:2013:i:2:p:97-99
    DOI: 10.1007/s12599-013-0255-7
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    References listed on IDEAS

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    1. Badi Baltagi & Dong Li & Qi Li, 2006. "Transaction tax and stock market behavior: evidence from an emerging market," Empirical Economics, Springer, vol. 31(2), pages 393-408, June.
    2. Umlauf, Steven R., 1993. "Transaction taxes and the behavior of the Swedish stock market," Journal of Financial Economics, Elsevier, vol. 33(2), pages 227-240, April.
    3. Johannes Prix & Otto Loistl & Michael Huetl, 2007. "Algorithmic Trading Patterns in Xetra Orders," The European Journal of Finance, Taylor & Francis Journals, vol. 13(8), pages 717-739.
    4. P. Gomber & M. Gsell, 2006. "Catching Up with Technology - The Impact of Regulatory Changes on ECNs/MTFs and the Trading Venue Landscape in Europe," Competition and Regulation in Network Industries, Intersentia, vol. 7(4), pages 535-558, December.
    5. Christoph Lattemann & Peter Loos & Johannes Gomolka & Hans-Peter Burghof & Arne Breuer & Peter Gomber & Michael Krogmann & Joachim Nagel & Rainer Riess & Ryan Riordan & Rafael Zajonz, 2012. "High Frequency Trading," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 4(2), pages 93-108, April.
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    Citations

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    Cited by:

    1. Hans Buhl, 2013. "IT as Curse and Blessing," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 5(6), pages 377-381, December.
    2. Sandrine Jacob Leal & Mauro Napoletano, 2017. "Market Stability vs. Market Resilience: Regulatory Policies Experiments in an Agent-Based Model with Low- and High-Frequency Trading," Post-Print hal-01768876, HAL.
    3. Angerer, Martin & Neugebauer, Tibor & Shachat, Jason, 2023. "Arbitrage bots in experimental asset markets," Journal of Economic Behavior & Organization, Elsevier, vol. 206(C), pages 262-278.
    4. Fabrice Rousseau & Herve Boco & Laurent Germain, 2020. "High Frequency Trading: Strategic Competition Between Slow and Fast Traders," Economics Department Working Paper Series n296-20.pdf, Department of Economics, National University of Ireland - Maynooth.
    5. Benjamin Clapham & Martin Haferkorn & Kai Zimmermann, 2020. "Does Speed Matter? The Role Of High‐Frequency Trading For Order Book Resiliency," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 43(4), pages 933-964, December.
    6. Marta Khomyn, 2020. "Essays on Modern Market Structure," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 2-2020.
    7. Mehran Taghian & Ahmad Asadi & Reza Safabakhsh, 2021. "A Reinforcement Learning Based Encoder-Decoder Framework for Learning Stock Trading Rules," Papers 2101.03867, arXiv.org.
    8. Mestel, Roland & Murg, Michael & Theissen, Erik, 2018. "Algorithmic trading and liquidity: Long term evidence from Austria," Finance Research Letters, Elsevier, vol. 26(C), pages 198-203.

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