Adaptive Agents and Data Quality in Agent-Based Financial Markets
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- Richard Bookstaber & Mark Paddrik & Brian Tivnan, 2018.
"An agent-based model for financial vulnerability,"
Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(2), pages 433-466, July.
- Rick Bookstaber & Mark Paddrik & Brian Tivnan, 2014. "An Agent-based Model for Financial Vulnerability," Working Papers 14-05, Office of Financial Research, US Department of the Treasury, revised Sep 2014.
- Xavier Vives, 1993.
"How Fast do Rational Agents Learn?,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(2), pages 329-347.
- Vives, X., 1990. "How Fast Do Rational Agents Learn?," UFAE and IAE Working Papers 135-90, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
- Hasbrouck, Joel, 2007. "Empirical Market Microstructure: The Institutions, Economics, and Econometrics of Securities Trading," OUP Catalogue, Oxford University Press, number 9780195301649.
- Dave Cliff, 2018. "BSE: A Minimal Simulation of a Limit-Order-Book Stock Exchange," Papers 1809.06027, arXiv.org.
- Madhavan, Ananth, 2000. "Market microstructure: A survey," Journal of Financial Markets, Elsevier, vol. 3(3), pages 205-258, August.
- Baldauf, Markus & Mollner, Joshua, 2021. "Trading in Fragmented Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 56(1), pages 93-121, February.
- Gode, Dhananjay K & Sunder, Shyam, 1993.
"Allocative Efficiency of Markets with Zero-Intelligence Traders: Market as a Partial Substitute for Individual Rationality,"
Journal of Political Economy, University of Chicago Press, vol. 101(1), pages 119-137, February.
- Gode, D.K. & Sunder, S., 1991. "Allocative Efficiency of Markets with Zero Intelligence (Z1) Traders: Market as a Partial Substitute for Individual Rationality," GSIA Working Papers 1992-16, Carnegie Mellon University, Tepper School of Business.
- Jean-Philippe Bouchaud & Marc Mezard & Marc Potters, 2002. "Statistical properties of stock order books: empirical results and models," Quantitative Finance, Taylor & Francis Journals, vol. 2(4), pages 251-256.
- Volker Grimm & Steven F. Railsback & Christian E. Vincenot & Uta Berger & Cara Gallagher & Donald L. DeAngelis & Bruce Edmonds & Jiaqi Ge & Jarl Giske & Jürgen Groeneveld & Alice S.A. Johnston & Alex, 2020. "The ODD Protocol for Describing Agent-Based and Other Simulation Models: A Second Update to Improve Clarity, Replication, and Structural Realism," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 23(2), pages 1-7.
- repec:zbw:bofism:2015_050 is not listed on IDEAS
- Blake LeBaron, 2011. "Active and Passive Learning in Agent-based Financial Markets," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 37(1), pages 35-43.
- Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
- Michael Rollins & Dave Cliff, 2020. "Which Trading Agent is Best? Using a Threaded Parallel Simulation of a Financial Market Changes the Pecking-Order," Papers 2009.06905, arXiv.org.
- 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.
- Wah, Elaine & Wellman, Michael P., 2016. "Latency arbitrage in fragmented markets: A strategic agent-based analysis," Algorithmic Finance, IOS Press, vol. 5(3-4), pages 69-93.
- Rama Cont & Sasha Stoikov & Rishi Talreja, 2010. "A Stochastic Model for Order Book Dynamics," Operations Research, INFORMS, vol. 58(3), pages 549-563, June.
- Kang Gao & Perukrishnen Vytelingum & Stephen Weston & Wayne Luk & Ce Guo, 2022. "Understanding intra-day price formation process by agent-based financial market simulation: calibrating the extended chiarella model," Papers 2208.14207, arXiv.org.
- Justin Sirignano & Rama Cont, 2019. "Universal features of price formation in financial markets: perspectives from deep learning," Quantitative Finance, Taylor & Francis Journals, vol. 19(9), pages 1449-1459, September.
- Jean-Philippe Bouchaud & Marc Mezard & Marc Potters, 2002. "Statistical properties of stock order books: empirical results and models," Science & Finance (CFM) working paper archive 0203511, Science & Finance, Capital Fund Management.
- Stephen J. Brown, 2011. "The efficient markets hypothesis: The demise of the demon of chance?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 51(1), pages 79-95, March.
- Vince Darley & Alexander V Outkin, 2007. "A NASDAQ Market Simulation:Insights on a Major Market from the Science of Complex Adaptive Systems," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 6217, October.
- Sabrina Ecca & Michele Marchesi & Alessio Setzu, 2008. "Modeling and Simulation of an Artificial Stock Option Market," Computational Economics, Springer;Society for Computational Economics, vol. 32(1), pages 37-53, September.
- Brian F Tivnan & David Rushing Dewhurst & Colin M Van Oort & John H Ring IV & Tyler J Gray & Brendan F Tivnan & Matthew T K Koehler & Matthew T McMahon & David M Slater & Jason G Veneman & Christopher, 2020. "Fragmentation and inefficiencies in US equity markets: Evidence from the Dow 30," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-24, January.
- B. LeBaron, 2001. "A builder's guide to agent-based financial markets," Quantitative Finance, Taylor & Francis Journals, vol. 1(2), pages 254-261.
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This paper has been announced in the following NEP Reports:- NEP-CMP-2024-01-08 (Computational Economics)
- NEP-HME-2024-01-08 (Heterodox Microeconomics)
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