Liquidity Dynamics in an Electronic Open Limit Order Book: an Event Study Approach
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DOI: 10.1111/j.1468-036X.2013.12006.x
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- 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).
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Citations
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Cited by:
- Marvin Wee & Joey W. Yang, 2016. "The Evolution of Informed Liquidity Provision: Evidence from an Order†driven Market," European Financial Management, European Financial Management Association, vol. 22(5), pages 882-915, November.
- Pelizzon, Loriana & Sagade, Satchit & Vozian, Katia, 2020. "Resiliency: Cross-venue dynamics with Hawkes processes," SAFE Working Paper Series 291, Leibniz Institute for Financial Research SAFE.
- Siikanen, Milla & Kanniainen, Juho & Luoma, Arto, 2017. "What drives the sensitivity of limit order books to company announcement arrivals?," Economics Letters, Elsevier, vol. 159(C), pages 65-68.
- Martin Angerer & Georg Peter & Sebastian Stoeckl & Thomas Wachter & Matthias Bank & Marco Menichetti, 2018. "Bid-Ask Spread Patterns and the Optimal Timing for Discretionary Liquidity Traders on Xetra," Schmalenbach Business Review, Springer;Schmalenbach-Gesellschaft, vol. 70(3), pages 209-230, July.
- Siikanen, Milla & Kanniainen, Juho & Valli, Jaakko, 2017. "Limit order books and liquidity around scheduled and non-scheduled announcements: Empirical evidence from NASDAQ Nordic," Finance Research Letters, Elsevier, vol. 21(C), pages 264-271.
- 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.
- Thomas A. P. de Boer & Cornelis Gardebroek & Joost M. E. Pennings & Andres Trujillo‐Barrera, 2022. "Intraday liquidity in soybean complex futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(7), pages 1189-1211, July.
- Matthias Schnaubelt & Jonas Rende & Christopher Krauss, 2019. "Testing Stylized Facts of Bitcoin Limit Order Books," JRFM, MDPI, vol. 12(1), pages 1-30, February.
- Jeon, Yoontae & Samarbakhsh, Laleh & Hewitt, Kenji, 2021. "Fragmentation in the Bitcoin market: Evidence from multiple coexisting order books," Finance Research Letters, Elsevier, vol. 39(C).
- Olaf Korn & Paolo Krischak & Erik Theissen, 2019.
"Illiquidity transmission from spot to futures markets,"
Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(10), pages 1228-1249, October.
- Korn, Olaf & Krischak, Paolo & Theissen, Erik, 2017. "Illiquidity transmission from spot to futures markets," CFR Working Papers 14-10, University of Cologne, Centre for Financial Research (CFR), revised 2017.
- Olbrys, Joanna & Mursztyn, Michal, 2019. "Estimation of intraday stock market resiliency: Short-Time Fourier Transform approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
- 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.
- O’Sullivan, Conall & Papavassiliou, Vassilios G. & Wafula, Ronald Wekesa & Boubaker, Sabri, 2024.
"New insights into liquidity resiliency,"
Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 90(C).
- Conall O'Sullivan & Vassilios G. Papavassiliou & Ronald Wekesa Wafula & Sabri Boubaker, 2024. "New Insights into Liquidity Resiliency," Post-Print hal-04432411, HAL.
- Olbrys, Joanna & Mursztyn, Michal, 2019. "Measuring stock market resiliency with Discrete Fourier Transform for high frequency data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 513(C), pages 248-256.
- Fullwood, Jonathan & Massacci, Daniele, 2018. "Liquidity resilience in the UK gilt futures market: evidence from the order book," Bank of England working papers 744, Bank of England.
- Ying Chen & Wee Song Chua & Wolfgang Karl Härdle, 2019.
"Forecasting limit order book liquidity supply–demand curves with functional autoregressive dynamics,"
Quantitative Finance, Taylor & Francis Journals, vol. 19(9), pages 1473-1489, September.
- Chen, Ying & Chua, Wee Song & Härdle, Wolfgang Karl, 2016. "Forecasting limit order book liquidity supply-demand curves with functional AutoRegressive dynamics," SFB 649 Discussion Papers 2016-025, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- Schnaubelt, Matthias, 2022. "Deep reinforcement learning for the optimal placement of cryptocurrency limit orders," European Journal of Operational Research, Elsevier, vol. 296(3), pages 993-1006.
- Daniel Havran & Kata Varadi, 2015. "Price Impact and the Recovery of the Limit Order Book: Why Should We Care About Informed Liquidity Providers?," CERS-IE WORKING PAPERS 1540, Institute of Economics, Centre for Economic and Regional Studies.
- repec:hum:wpaper:sfb649dp2016-025 is not listed on IDEAS
- Hai-Chuan Xu & Wei Chen & Xiong Xiong & Wei Zhang & Wei-Xing Zhou & H Eugene Stanley, 2016. "Limit-order book resiliency after effective market orders: Spread, depth and intensity," Papers 1602.00731, arXiv.org, revised Feb 2017.
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