Speed Traps: Algorithmic Trader Performance Under Alternative Market Structures
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Cited by:
- Bao, Te, 2022. "Comments on “the role of information in a continuous double auction: An experiment and learning model” by Mikhail Anufriev, Jasmina Arifovic, John Ledyard and Valentyn Panchenko," Journal of Economic Dynamics and Control, Elsevier, vol. 141(C).
- 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.
- Angerer, Martin & Neugebauer, Tibor & Shachat, Jason, 2019. "Arbitrage bots in experimental asset markets," MPRA Paper 96224, University Library of Munich, Germany.
- Brice Corgnet & Mark DeSantis & Christoph Siemroth, 2023.
"Algorithmic Trading, Price Efficiency and Welfare: An Experimental Approach,"
Working Papers
2313, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
- Corgnet, Brice & DeSantis, Mark & Siemroth, Christoph, 2023. "Algorithmic Trading, Price Efficiency and Welfare: An Experimental Approach," Economics Discussion Papers 36273, University of Essex, Department of Economics.
More about this item
Keywords
Trading agents; Speed; Algorithmic trading; Laboratory experiment;All these keywords.
JEL classification:
- C78 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Bargaining Theory; Matching Theory
- C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
- D40 - Microeconomics - - Market Structure, Pricing, and Design - - - General
NEP fields
This paper has been announced in the following NEP Reports:- NEP-EXP-2021-03-08 (Experimental Economics)
- NEP-MST-2021-03-08 (Market Microstructure)
- NEP-ORE-2021-03-08 (Operations Research)
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