Attention: How high-frequency trading improves price efficiency following earnings announcements
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DOI: 10.1016/j.finmar.2021.100690
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Citations
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Cited by:
- 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, 2024. "Algorithmic Trading, Price Efficiency and Welfare: An Experimental Approach," VfS Annual Conference 2024 (Berlin): Upcoming Labor Market Challenges 302411, Verein für Socialpolitik / German Economic Association.
- 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.
- Michael Goldstein & Amy Kwan & Richard Philip, 2023. "High-Frequency Trading Strategies," Management Science, INFORMS, vol. 69(8), pages 4413-4434, August.
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More about this item
Keywords
High-frequency trading; Limited attention; Price efficiency; Earnings announcements;All these keywords.
JEL classification:
- G02 - Financial Economics - - General - - - Behavioral Finance: Underlying Principles
- G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
- G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
- M40 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - General
- M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting
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