To Make, or to Take, That Is the Question: Impact of LOB Mechanics on Natural Trading Strategies
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- Timothy DeLise, 2024. "The Negative Drift of a Limit Order Fill," Papers 2407.16527, arXiv.org.
- Alexander Lipton & Umberto Pesavento & Michael G Sotiropoulos, 2013. "Trade arrival dynamics and quote imbalance in a limit order book," Papers 1312.0514, arXiv.org.
- Álvaro Cartea & Ryan Donnelly & Sebastian Jaimungal, 2018. "Enhancing trading strategies with order book signals," Applied Mathematical Finance, Taylor & Francis Journals, vol. 25(1), pages 1-35, January.
- Felix Lokin & Fenghui Yu, 2024. "Fill Probabilities in a Limit Order Book with State-Dependent Stochastic Order Flows," Papers 2403.02572, arXiv.org.
- Yacine Aït-Sahalia & Jianqing Fan & Lirong Xue & Yifeng Zhou, 2022. "How and When are High-Frequency Stock Returns Predictable?," NBER Working Papers 30366, National Bureau of Economic Research, Inc.
- Marco Avellaneda & Sasha Stoikov, 2008. "High-frequency trading in a limit order book," Quantitative Finance, Taylor & Francis Journals, vol. 8(3), pages 217-224.
- Álvaro Cartea & Leandro Sánchez-Betancourt, 2023. "Optimal execution with stochastic delay," Finance and Stochastics, Springer, vol. 27(1), pages 1-47, January.
- Martin D. Gould & Julius Bonart, 2015. "Queue Imbalance as a One-Tick-Ahead Price Predictor in a Limit Order Book," Papers 1512.03492, arXiv.org.
- Ryan Donnelly & Luhui Gan, 2018. "Optimal Decisions in a Time Priority Queue," Applied Mathematical Finance, Taylor & Francis Journals, vol. 25(2), pages 107-147, March.
- Ã Lvaro Cartea & Sebastian Jaimungal & Leandro Sã Nchez-Betancourt, 2021. "Latency And Liquidity Risk," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 24(06n07), pages 1-37, September.
- Rama Cont & Mihai Cucuringu & Chao Zhang, 2023. "Cross-impact of order flow imbalance in equity markets," Quantitative Finance, Taylor & Francis Journals, vol. 23(10), pages 1373-1393, October.
- Rama Cont & Mihai Cucuringu & Chao Zhang, 2021. "Cross-Impact of Order Flow Imbalance in Equity Markets," Papers 2112.13213, arXiv.org, revised Jun 2023.
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This paper has been announced in the following NEP Reports:- NEP-MST-2025-03-24 (Market Microstructure)
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