Further analysis of the speed of response to large trades in interest rate futures
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Cited by:
- Peter Gomber & Uwe Schweickert & Erik Theissen, 2015.
"Liquidity Dynamics in an Electronic Open Limit Order Book: an Event Study Approach,"
European Financial Management, European Financial Management Association, vol. 21(1), pages 52-78, January.
- Gomber, Peter & Schweickert, Uwe & Theissen, Erik, 2011. "Liquidity dynamics in an electronic open limit order book: An event study approach," CFR Working Papers 11-14, University of Cologne, Centre for Financial Research (CFR).
- Matthias Schnaubelt & Jonas Rende & Christopher Krauss, 2019. "Testing Stylized Facts of Bitcoin Limit Order Books," JRFM, MDPI, vol. 12(1), pages 1-30, February.
- Chuheng Zhang & Yitong Duan & Xiaoyu Chen & Jianyu Chen & Jian Li & Li Zhao, 2023. "Towards Generalizable Reinforcement Learning for Trade Execution," Papers 2307.11685, arXiv.org.
- Schnaubelt, Matthias, 2020. "Deep reinforcement learning for the optimal placement of cryptocurrency limit orders," FAU Discussion Papers in Economics 05/2020, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
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