The effect of genetic algorithm learning with a classifier system in limit order markets
Author
Abstract
Suggested Citation
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Chiarella, Carl & Iori, Giulia, 2009.
"The impact of heterogeneous trading rules on the limit order book and order flows,"
Journal of Economic Dynamics and Control, Elsevier, vol. 33(3), pages 525-537.
- Carl Chiarella & Giulia Iori, 2005. "The Impact of Heterogeneous Trading Rules on the Limit Order Book and Order Flows," Research Paper Series 152, Quantitative Finance Research Centre, University of Technology, Sydney.
- Chiarella, C. & Iori, G. & Perello, J., 2008. "The Impact of Heterogeneous Trading Rules on the Limit Order Book and Order Flows," Working Papers 08/04, Department of Economics, City University London.
- Carl Chiarella & Giulia Iori & Josep Perello, 2007. "The Impact of Heterogeneous Trading Rules on the Limit Order Book and Order Flows," Papers 0711.3581, arXiv.org.
- Allen, Todd W. & Carroll, Christopher D., 2001.
"Individual Learning About Consumption,"
Macroeconomic Dynamics, Cambridge University Press, vol. 5(02), pages 255-271, April.
- Todd W. Allen & Christopher D. Carroll, 2001. "Individual Learning About Consumption," NBER Working Papers 8234, National Bureau of Economic Research, Inc.
- Todd W Allen & Christopher D Carroll, 2001. "Individual Learning About Consumption," Economics Working Paper Archive 444, The Johns Hopkins University,Department of Economics.
- Menkhoff, Lukas & Osler, Carol L. & Schmeling, Maik, 2010.
"Limit-order submission strategies under asymmetric information,"
Journal of Banking & Finance, Elsevier, vol. 34(11), pages 2665-2677, November.
- Lukas Menkhoff & Carol L. Osler & Maik Schmeling, 2010. "Limit-Order Submission Strategies under Asymmetric Information," CESifo Working Paper Series 3054, CESifo.
- Bank for International Settlements, 2001. "Market liquidity: proceedings of a workshop held at the BIS," BIS Papers, Bank for International Settlements, number 02, October –.
- Florian Hauser & Jürgen Huber & Bob Kaempff, 2015. "Costly Information in Markets with Heterogeneous Agents: A Model with Genetic Programming," Computational Economics, Springer;Society for Computational Economics, vol. 46(2), pages 205-229, August.
- Bloomfield, Robert & O'Hara, Maureen & Saar, Gideon, 2005. "The "make or take" decision in an electronic market: Evidence on the evolution of liquidity," Journal of Financial Economics, Elsevier, vol. 75(1), pages 165-199, January.
- Theissen, Erik, 2000. "Market structure, informational efficiency and liquidity: An experimental comparison of auction and dealer markets," Journal of Financial Markets, Elsevier, vol. 3(4), pages 333-363, November.
- Chen, Shu-Heng, 2012. "Varieties of agents in agent-based computational economics: A historical and an interdisciplinary perspective," Journal of Economic Dynamics and Control, Elsevier, vol. 36(1), pages 1-25.
- Juhani T. Linnainmaa, 2010. "Do Limit Orders Alter Inferences about Investor Performance and Behavior?," Journal of Finance, American Finance Association, vol. 65(4), pages 1473-1506, August.
- Mikhail Anufriev & Jasmina Arifovic & John Ledyard & Valentyn Panchenko, 2013.
"Efficiency of continuous double auctions under individual evolutionary learning with full or limited information,"
Journal of Evolutionary Economics, Springer, vol. 23(3), pages 539-573, July.
- Anufriev, M. & Arifovic, J. & Ledyard, D. & Panchenko, V., 2010. "Efficiency of Continuous Double Auctions under Individual Evolutionary Learning with Full or Limited Information," CeNDEF Working Papers 10-01, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
- Goettler, Ronald L. & Parlour, Christine A. & Rajan, Uday, 2009. "Informed traders and limit order markets," Journal of Financial Economics, Elsevier, vol. 93(1), pages 67-87, July.
- Yeh, Chia-Hsuan, 2008. "The effects of intelligence on price discovery and market efficiency," Journal of Economic Behavior & Organization, Elsevier, vol. 68(3-4), pages 613-625, December.
- LeBaron, Blake & Arthur, W. Brian & Palmer, Richard, 1999.
"Time series properties of an artificial stock market,"
Journal of Economic Dynamics and Control, Elsevier, vol. 23(9-10), pages 1487-1516, September.
- Arthur, W.B. & LeBaron, B. & Palmer, R., 1997. "Time Series Properties of an Artificial Stock Market," Working papers 9725, Wisconsin Madison - Social Systems.
- Yan, Yuxing & Zhang, Shaojun, 2012. "An improved estimation method and empirical properties of the probability of informed trading," Journal of Banking & Finance, Elsevier, vol. 36(2), pages 454-467.
- Gil Bazo, Javier & Moreno Muñoz, Jesús David, 2005. "Price dynamics, informational efficiency and wealth distribution in continuous double auction markets," DEE - Working Papers. Business Economics. WB wb057819, Universidad Carlos III de Madrid. Departamento de EconomÃa de la Empresa.
- Ehrentreich, Norman, 2006. "Technical trading in the Santa Fe Institute Artificial Stock Market revisited," Journal of Economic Behavior & Organization, Elsevier, vol. 61(4), pages 599-616, December.
- Routledge, Bryan R, 1999. "Adaptive Learning in Financial Markets," The Review of Financial Studies, Society for Financial Studies, vol. 12(5), pages 1165-1202.
- Kluger, Brian D. & McBride, Mark E., 2011. "Intraday trading patterns in an intelligent autonomous agent-based stock market," Journal of Economic Behavior & Organization, Elsevier, vol. 79(3), pages 226-245, August.
- Chiarella, Carl & He, Xue-Zhong & Wei, Lijian, 2015. "Learning, information processing and order submission in limit order markets," Journal of Economic Dynamics and Control, Elsevier, vol. 61(C), pages 245-268.
- Arifovic, Jasmina, 1996. "The Behavior of the Exchange Rate in the Genetic Algorithm and Experimental Economies," Journal of Political Economy, University of Chicago Press, vol. 104(3), pages 510-541, June.
- Hu, Shing-yang, 2006. "A simple estimate of noise and its determinant in a call auction market," International Review of Financial Analysis, Elsevier, vol. 15(4-5), pages 348-362.
- Marimon, Ramon & McGrattan, Ellen & Sargent, Thomas J., 1990. "Money as a medium of exchange in an economy with artificially intelligent agents," Journal of Economic Dynamics and Control, Elsevier, vol. 14(2), pages 329-373, May.
- W. Brian Arthur & Paul Tayler, "undated". "Asset Pricing Under Endogenous Expectations in an Artificial Stock Market," Computing in Economics and Finance 1997 57, Society for Computational Economics.
- Ioanid Rosu, 2012. "Order Choice and Information in Limit Order Markets," Post-Print hal-00712067, HAL.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Arifovic, Jasmina & He, Xue-zhong & Wei, Lijian, 2022. "Machine learning and speed in high-frequency trading," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Chiarella, Carl & He, Xue-Zhong & Wei, Lijian, 2015. "Learning, information processing and order submission in limit order markets," Journal of Economic Dynamics and Control, Elsevier, vol. 61(C), pages 245-268.
- Arifovic, Jasmina & He, Xue-zhong & Wei, Lijian, 2022. "Machine learning and speed in high-frequency trading," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
- Lijian Wei & Wei Zhang & Xue-Zhong He & Yongjie Zhang, 2013. "Learning and Information Dissemination in Limit Order Markets," Research Paper Series 333, Quantitative Finance Research Centre, University of Technology, Sydney.
- He, Xue-Zhong & Lin, Shen, 2022. "Reinforcement Learning Equilibrium in Limit Order Markets," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
- Carl Chiarella & Xue-Zhong He & Lijian Wei, 2013. "Learning and Evolution of Trading Strategies in Limit Order Markets," Research Paper Series 335, Quantitative Finance Research Centre, University of Technology, Sydney.
- Wei, Lijian & Zhang, Wei & Xiong, Xiong & Shi, Lei, 2015. "Position limit for the CSI 300 stock index futures market," Economic Systems, Elsevier, vol. 39(3), pages 369-389.
- Roberto Dieci & Xue-Zhong He, 2018. "Heterogeneous Agent Models in Finance," Research Paper Series 389, Quantitative Finance Research Centre, University of Technology, Sydney.
- Lijian Wei & Wei Zhang & Xiong Xiong & Lei Shi, 2014. "Position-Limit Design for the CSI 300 Futures Markets," Research Paper Series 349, Quantitative Finance Research Centre, University of Technology, Sydney.
- E. Samanidou & E. Zschischang & D. Stauffer & T. Lux, 2001.
"Microscopic Models of Financial Markets,"
Papers
cond-mat/0110354, arXiv.org.
- Samanidou, Egle & Zschischang, Elmar & Stauffer, Dietrich & Lux, Thomas, 2006. "Microscopic models of financial markets," Economics Working Papers 2006-15, Christian-Albrechts-University of Kiel, Department of Economics.
- Pyo, Dong-Jin, 2014. "A Multi-Factor Model of Heterogeneous Traders in a Dynamic Stock Market," Staff General Research Papers Archive 37358, Iowa State University, Department of Economics.
- E. Samanidou & E. Zschischang & D. Stauffer & T. Lux, 2007. "Agent-based Models of Financial Markets," Papers physics/0701140, arXiv.org.
- Yamamoto, Ryuichi, 2019.
"Dynamic Predictor Selection And Order Splitting In A Limit Order Market,"
Macroeconomic Dynamics, Cambridge University Press, vol. 23(5), pages 1757-1792, July.
- Ryuichi Yamamoto, 2015. "Dynamic predictor selection and order splitting in a limit order market," Working Papers 1514, Waseda University, Faculty of Political Science and Economics.
- Murphy Jun Jie Lee, 2013. "The Microstructure of Trading Processes on the Singapore Exchange," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 2-2013, January-A.
- Yosra Mefteh Rekik & Younes Boujelbene, 2015. "Price Dynamics and Market Volatility: Behavioral Heterogeneity under Switching Trading Strategies on Artificial Financial Market," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 6(2), pages 33-43, April.
- Paolo Mazza & Mikael Petitjean, 2019.
"Testing the effect of technical analysis on market quality and order book dynamics,"
Applied Economics, Taylor & Francis Journals, vol. 51(18), pages 1947-1976, April.
- Paolo Mazza & Mikael Petitjean, 2018. "Testing the effect of technical analysis on market quality and order book dynamics," Post-Print hal-01914631, HAL.
- Mazza, Paolo & Petitjean, Mikael, 2019. "Testing the effect of technical analysis on market quality and order book dynamics," LIDAM Reprints LFIN 2019006, Université catholique de Louvain, Louvain Finance (LFIN).
- Ya-Chi Huang & Chueh-Yung Tsao, 2018. "Discovering Traders’ Heterogeneous Behavior in High-Frequency Financial Data," Computational Economics, Springer;Society for Computational Economics, vol. 51(4), pages 821-846, April.
- Troy Tassier, 2013. "Handbook of Research on Complexity, by J. Barkley Rosser, Jr. and Edward Elgar," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 39(1), pages 132-133.
- Alexandru Mandes & Peter Winker, 2017.
"Complexity and model comparison in agent based modeling of financial markets,"
Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(3), pages 469-506, October.
- Alexandru Mandes & Peter Winker, 2015. "Complexity and Model Comparison in Agent Based Modeling of Financial Markets," MAGKS Papers on Economics 201528, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
- Dong-Jin Pyo, 2017. "A multi-factor model of heterogeneous traders in a dynamic stock market," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1416902-141, January.
- Arifovic, Jasmina & Gencay, Ramazan, 2000. "Statistical properties of genetic learning in a model of exchange rate," Journal of Economic Dynamics and Control, Elsevier, vol. 24(5-7), pages 981-1005, June.
More about this item
Keywords
Limit order book; Asymmetric information; Genetic algorithm learning; Classifier system; Order submission;All these keywords.
JEL classification:
- G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
- D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
NEP fields
This paper has been announced in the following NEP Reports:- NEP-CMP-2018-07-30 (Computational Economics)
- NEP-MST-2018-07-30 (Market Microstructure)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:uts:ppaper:2017-3. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Duncan Ford (email available below). General contact details of provider: https://edirc.repec.org/data/sfutsau.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.