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Financial black swans driven by ultrafast machine ecology
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Cited by:
- Sandrine Jacob Leal & Mauro Napoletano & Andrea Roventini & Giorgio Fagiolo, 2016.
"Rock around the clock: An agent-based model of low- and high-frequency trading,"
Journal of Evolutionary Economics, Springer, vol. 26(1), pages 49-76, March.
- Sandrine Jacob Leal & Mauro Napoletano & Andrea Roventini & Giorgio Fagiolo, 2014. "Rock around the clock: an agent-based model of low- and high-frequency trading," Working Papers hal-01070542, HAL.
- Giorgio Fagiolo & Sandrine Jacob Leal & Mauro Napoletano & Andrea Roventini, 2015. "Rock around the Clock: An Agent-Based Model of Low- and High-Frequency Trading," Post-Print hal-03411703, HAL.
- Sandrine Jacob Leal & Mauro Napoletano & Andrea Roventini & Giorgio Fagiolo, 2014. "Rock around the clock: an agent-based model of low- and high-frequency trading," SciencePo Working papers Main hal-01070542, HAL.
- Sandrine Jacob Leal & Mauro Napoletano & Andrea Roventini & Giorgo Fagiolo, 2014. "Rock around the clock :An agent-based model of low-and high frequency trading," Documents de Travail de l'OFCE 2014-03, Observatoire Francais des Conjonctures Economiques (OFCE).
- Sandrine Jacob Leal & Mauro Napoletano & Andrea Roventini & Giorgio Fagiolo, 2014. "Rock around the clock: An agent-based model of low- and high-frequency trading," Post-Print hal-01515227, HAL.
- Sandrine Jacob Leal & Mauro Napoletano & Andrea Roventini & Giorgio Fagiolo, 2014. "Rock around the Clock: An Agent-Based Model of Low- and High-Frequency Trading," Working Papers 02/2014, University of Verona, Department of Economics.
- Giorgio Fagiolo & Sandrine Jacob Leal & Mauro Napoletano & Andrea Roventini, 2015. "Rock around the Clock: An Agent-Based Model of Low- and High-Frequency Trading," SciencePo Working papers Main hal-03411703, HAL.
- Sandrine Jacob Leal & Mauro Napoletano & Andrea Roventini & Giorgio Fagiolo, 2016. "Rock around the Clock : An agent-based model of low- and high-frequency trading," Post-Print hal-01512863, HAL.
- Sandrine Jacob Leal & Mauro Napoletano & Andrea Roventini & Giorgio Fagiolo, 2014. "Rock around the Clock: An Agent-Based Model of Low- and High-Frequency Trading," GREDEG Working Papers 2014-21, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
- Sandrine Jacob Leal & Mauro Napoletano & Andrea Roventini & Giorgio Fagiolo, 2014. "Rock around the Clock: An Agent-Based Model of Low- and High-Frequency Trading," LEM Papers Series 2014/03, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
- Sandrine Jacob Leal & Mauro Napoletano & Andrea Roventini & Giorgio Fagiolo, 2014. "Rock around the Clock: An Agent-Based Model of Low- and High-Frequency Trading," Papers 1402.2046, arXiv.org.
- Leal, Sandrine Jacob & Napoletano, Mauro, 2019.
"Market stability vs. market resilience: Regulatory policies experiments in an agent-based model with low- and high-frequency trading,"
Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 15-41.
- Sandrine Jacob Leal & Mauro Napoletano, 2016. "Market Stability vs. Market Resilience: Regulatory Policies Experiments in an Agent-Based Model with Low- and High- Frequency Trading," Working Papers hal-03459346, HAL.
- Sandrine Jacob Leal & Mauro Napoletano, 2019. "Market stability vs. market resilience: Regulatory policies experiments in an agent-based model with low- and high-frequency trading," SciencePo Working papers Main hal-03403589, HAL.
- Sandrine Jacob Leal & Mauro Napoletano, 2016. "Market Stability vs. Market Resilience: Regulatory Policies Experiments in an Agent-Based Model with Low- and High-Frequency Trading," Post-Print hal-01512779, HAL.
- Sandrine Jacob Leal & Mauro Napoletano, 2016. "Market Stability vs. Market Resilience: Regulatory Policies Experiments in an Agent-Based Model with Low- and High- Frequency Trading," SciencePo Working papers Main hal-03459346, HAL.
- Sandrine Jacob Leal & Mauro Napoletano, 2016. "Market Stability vs. Market Resilience: Regulatory Policies Experiments in an Agent Based Model with Low- and High-Frequency Trading," LEM Papers Series 2016/15, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
- Sandrine Jacob Leal & Mauro Napoletano, 2016. "Market stability vs. Market resilience : Regulatory policies experiments in an agent based model with low-and high -frequency trading," Documents de Travail de l'OFCE 2016-12, Observatoire Francais des Conjonctures Economiques (OFCE).
- Sandrine Jacob Leal & Mauro Napoletano, 2016. "Market Stability vs. Market Resilience: Regulatory Policies Experiments in an Agent-Based Model with Low- and High-Frequency Trading," Working Papers hal-01512781, HAL.
- Sandrine Jacob Leal & Mauro Napoletano, 2019. "Market stability vs. market resilience: Regulatory policies experiments in an agent-based model with low- and high-frequency trading," Post-Print hal-03403589, HAL.
- Sandrine Jacob Leal & Mauro Napoletano, 2016. "Market Stability vs. Market Resilience: Regulatory Policies Experiments in an Agent-Based Model with Low- and High-Frequency Trading," Post-Print hal-01512780, HAL.
- Samir Abrol & Benjamin Chesir & Nikhil Mehta & Ron Ziegler, 2016. "High Frequency Trading and US Stock Market Microstructure: A Study of Interactions between Complexities, Risks and Strategies Residing in U.S. Equity Market Microstructure," Financial Markets, Institutions & Instruments, John Wiley & Sons, vol. 25(2), pages 107-165, May.
- S. Z. Stefanov, 2013. "Daily Artificial Dispatcher Long-Term Vision," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 9(01), pages 65-75.
- Catherine Murray & Garry McDonald & Shane Cronin, 2015. "Interpreting Auckland’s volcanic governance through an institutional lens," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(1), pages 441-464, January.
- Marcus Buckmann & Andy Haldane & Anne-Caroline Hüser, 2021.
"Comparing minds and machines: implications for financial stability,"
Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 37(3), pages 479-508.
- Buckmann, Marcus & Haldane, Andy & Hüser, Anne-Caroline, 2021. "Comparing minds and machines: implications for financial stability," Bank of England working papers 937, Bank of England.
- Turiel, Jeremy D. & Aste, Tomaso, 2022. "Heterogeneous criticality in high frequency finance: a phase transition in flash crashes," LSE Research Online Documents on Economics 113892, London School of Economics and Political Science, LSE Library.
- Tobias Braun & Jonas A Fiegen & Daniel C Wagner & Sebastian M Krause & Thomas Guhr, 2018. "Impact and recovery process of mini flash crashes: An empirical study," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-11, May.
- Mark Paddrik & Roy Hayes & William Scherer & Peter Beling, 2017.
"Effects of limit order book information level on market stability metrics,"
Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(2), pages 221-247, July.
- Mark Paddrik & Roy Hayes & William Scherer & Peter Beling, 2014. "Effects of Limit Order Book Information Level on Market Stability Metrics," Working Papers 14-09, Office of Financial Research, US Department of the Treasury.
- Christian Hugo Hoffmann, 2017. "Towards Understanding Dynamic Complexity in Financial Systems Structure-based Explanatory Modelling of Risks," Systems Research and Behavioral Science, Wiley Blackwell, vol. 34(6), pages 728-745, November.
- David Rushing Dewhurst & Michael Vincent Arnold & Colin Michael Van Oort, 2018. "Selection mechanisms affect volatility in evolving markets," Papers 1812.05657, arXiv.org, revised Apr 2019.
- Vasilios Mavroudis & Hayden Melton, 2019. "Libra: Fair Order-Matching for Electronic Financial Exchanges," Papers 1910.00321, arXiv.org.
- Floris Laly & Mikael Petitjean, 2020.
"Mini flash crashes: Review, taxonomy and policy responses,"
Bulletin of Economic Research, Wiley Blackwell, vol. 72(3), pages 251-271, July.
- Floris Laly & Mikael Petitjean, 2020. "Mini flash crashes: Review, taxonomy and policy responses," Post-Print hal-02998436, HAL.
- Laly, Floris & Petitjean, Mikael, 2021. "Mini flash crashes: Review, taxonomy and policy responses," LIDAM Reprints LFIN 2021017, Université catholique de Louvain, Louvain Finance (LFIN).
- repec:hal:spmain:info:hdl:2441/6ummnc8nko827b2luohnctekk7 is not listed on IDEAS
- Steffen, Viktoria, 2023. "A literature review on extreme price movements with reversal," Journal of Behavioral and Experimental Finance, Elsevier, vol. 38(C).
- Paulin, James & Calinescu, Anisoara & Wooldridge, Michael, 2019. "Understanding flash crash contagion and systemic risk: A micro–macro agent-based approach," Journal of Economic Dynamics and Control, Elsevier, vol. 100(C), pages 200-229.
- Brian F. Tivnan & David Slater & James R. Thompson & Tobin A. Bergen-Hill & Carl D. Burke & Shaun M. Brady & Matthew T. K. Koehler & Matthew T. McMahon & Brendan F. Tivnan & Jason G. Veneman, 2018. "Price Discovery and the Accuracy of Consolidated Data Feeds in the U.S. Equity Markets," JRFM, MDPI, vol. 11(4), pages 1-17, October.
- Kang Gao & Perukrishnen Vytelingum & Stephen Weston & Wayne Luk & Ce Guo, 2022. "High-frequency financial market simulation and flash crash scenarios analysis: an agent-based modelling approach," Papers 2208.13654, arXiv.org.
- James Paulin & Anisoara Calinescu & Michael Wooldridge, 2018. "Understanding Flash Crash Contagion and Systemic Risk: A Micro-Macro Agent-Based Approach," Papers 1805.08454, arXiv.org.
- Banerjee, Anirban & Nawn, Samarpan, 2024. "Proprietary algorithmic traders and liquidity supply during the pandemic," Finance Research Letters, Elsevier, vol. 61(C).
- Simon Gluzman, 2023. "Market Crashes and Time-Translation Invariance," FinTech, MDPI, vol. 2(2), pages 1-27, March.
- Owen Cotton‐Barratt & Max Daniel & Anders Sandberg, 2020. "Defence in Depth Against Human Extinction: Prevention, Response, Resilience, and Why They All Matter," Global Policy, London School of Economics and Political Science, vol. 11(3), pages 271-282, May.
- Tobias Braun & Jonas A. Fiegen & Daniel C. Wagner & Sebastian M. Krause & Thomas Guhr, 2017. "Impact and Recovery Process of Mini Flash Crashes: An Empirical Study," Papers 1707.05580, arXiv.org.
- Giacomo Bormetti & Lucio Maria Calcagnile & Michele Treccani & Fulvio Corsi & Stefano Marmi & Fabrizio Lillo, 2013. "Modelling systemic price cojumps with Hawkes factor models," Papers 1301.6141, arXiv.org, revised Mar 2013.
- Brian F. Tivnan & David Slater & James R. Thompson & Tobin A. Bergen-Hill & Carl D. Burke & Shaun M. Brady & Matthew T. K. Koehler & Matthew T. McMahon & Brendan F. Tivnan & Jason Veneman, 2018. "Price Discovery and the Accuracy of Consolidated Data Feeds in the U.S. Equity Markets," Papers 1810.11091, arXiv.org.
- repec:spo:wpmain:info:hdl:2441/6ummnc8nko827b2luohnctekk7 is not listed on IDEAS
- Zachary S Levine & Scott A Hale & Luciano Floridi, 2017. "The October 2014 United States Treasury bond flash crash and the contributory effect of mini flash crashes," PLOS ONE, Public Library of Science, vol. 12(11), pages 1-14, November.
- Sandrine Jacob Leal & Mauro Napoletano, 2017. "Market Stability vs. Market Resilience: Regulatory Policies Experiments in an Agent-Based Model with Low- and High-Frequency Trading," Post-Print hal-01768876, HAL.