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A microsimulation of traders activity in the stock market: the role of heterogeneity, agents' interactions and trade frictions
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Cited by:
- Adri'an Carro & Ra'ul Toral & Maxi San Miguel, 2015. "Markets, herding and response to external information," Papers 1506.03708, arXiv.org, revised Jun 2015.
- Kaizoji, Taisei & Bornholdt, Stefan & Fujiwara, Yoshi, 2002.
"Dynamics of price and trading volume in a spin model of stock markets with heterogeneous agents,"
Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 316(1), pages 441-452.
- Taisei Kaizoji & Stefan Bornholdt & Yoshi Fujiwara, 2002. "Dynamics of price and trading volume in a spin model of stock markets with heterogeneous agents," Papers cond-mat/0207253, arXiv.org.
- Xue-Zhong He, 2003. "Asset Pricing, Volatility and Market Behaviour: A Market Fraction Approach," Research Paper Series 95, Quantitative Finance Research Centre, University of Technology, Sydney.
- Stefan Thurner & Rudolf Hanel & Stefan Pichler, 2003. "Risk trading, network topology and banking regulation," Quantitative Finance, Taylor & Francis Journals, vol. 3(4), pages 306-319.
- Anne Peguin-Feissolle & Gilles Dufrénot & Dominique Guegan, 2006.
"Changing-regime volatility : A fractionally integrated SETAR model,"
Working Papers
halshs-00410540, HAL.
- Gilles Dufrenot & Dominique Guegan & Anne Peguin-Feissolle, 2008. "Changing-regime volatility: A fractionally integrated SETAR model," Post-Print halshs-00185369, HAL.
- Gilles Dufrenot & Dominique Guegan & Anne Peguin-Feissolle, 2008. "Changing-regime volatility: A fractionally integrated SETAR model," PSE-Ecole d'économie de Paris (Postprint) halshs-00185369, HAL.
- Gilles Dufrenot & Dominique Guegan & Anne Peguin-Feissolle, 2008. "Changing-regime volatility: A fractionally integrated SETAR model," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00185369, HAL.
- Alessio Emanuele Biondo, 2020. "Information versus imitation in a real-time agent-based model of financial markets," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(3), pages 613-631, July.
- Witte, Björn-Christopher, 2011. "Removing systematic patterns in returns in a financial market model by artificially intelligent traders," BERG Working Paper Series 82, Bamberg University, Bamberg Economic Research Group.
- 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.
- Thomas Lux, 2009. "Applications of Statistical Physics in Finance and Economics," Chapters, in: J. Barkley Rosser Jr. (ed.), Handbook of Research on Complexity, chapter 9, Edward Elgar Publishing.
- Vivien Lespagnol & Juliette Rouchier, 2014.
"Trading volume and market efficiency: an Agent Based Model with heterogenous knowledge about fundamentals,"
AMSE Working Papers
1419, Aix-Marseille School of Economics, France, revised May 2014.
- Vivien Lespagnol & Juliette Rouchier, 2014. "Trading Volume and Market Efficiency: An Agent Based Model with Heterogenous Knowledge about Fundamentals," Working Papers halshs-00997573, HAL.
- Hommes, C.H. & Wagener, F.O.O., 2008.
"Complex evolutionary systems in behavioral finance,"
CeNDEF Working Papers
08-05, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
- Cars Hommes & Florian Wagener, 2008. "Complex Evolutionary Systems in Behavioral Finance," Tinbergen Institute Discussion Papers 08-054/1, Tinbergen Institute.
- Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2008. "Heterogeneity, Market Mechanisms, and Asset Price Dynamics," Research Paper Series 231, Quantitative Finance Research Centre, University of Technology, Sydney.
- Youwei Li & Xue-Zhong He, 2005.
"Long Memory, Heterogeneity, and Trend Chasing,"
Computing in Economics and Finance 2005
113, Society for Computational Economics.
- Xue-Zhong He & Youwei Li, 2005. "Long Memory, Heterogeneity and Trend Chasing," Research Paper Series 148, Quantitative Finance Research Centre, University of Technology, Sydney.
- LiCalzi, Marco & Pellizzari, Paolo, 2006.
"Breeds of risk-adjusted fundamentalist strategies in an order-driven market,"
Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 359(C), pages 619-633.
- Marco LiCalzi & Paolo Pellizzari, 2005. "Breeds of risk-adjusted fundamentalist strategies in an order- driven market," Computational Economics 0506001, University Library of Munich, Germany.
- Karlis, Alexandros & Galanis, Girogos & Terovitis, Spyridon & Turner, Matthew, 2017. "Heterogeneity and Clustering of Defaults," Economic Research Papers 270011, University of Warwick - Department of Economics.
- Farmer, J. Doyne & Joshi, Shareen, 2002.
"The price dynamics of common trading strategies,"
Journal of Economic Behavior & Organization, Elsevier, vol. 49(2), pages 149-171, October.
- J. Doyne Farmer & Shareen Joshi, 2000. "The Price Dynamics of Common Trading Strategies," Working Papers 00-12-069, Santa Fe Institute.
- J. Doyne Farmer & Shareen Joshi, 2000. "The price dynamics of common trading strategies," Papers cond-mat/0012419, arXiv.org.
- Rocco Caferra & Simone Nuzzo & Andrea Morone, 2023. "“Less is more” or “more is better”? The effect of asymmetric information distribution on market efficiency and wealth inequality," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(2), pages 233-250, April.
- 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.
- 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.
- Iori, Giulia & Jafarey, Saqib & Padilla, Francisco G., 2006. "Systemic risk on the interbank market," Journal of Economic Behavior & Organization, Elsevier, vol. 61(4), pages 525-542, December.
- Stefania Vitali & Gabriele Tedeschi & Mauro Gallegati, 2013.
"The impact of classes of innovators on technology, financial fragility, and economic growth,"
Industrial and Corporate Change, Oxford University Press, vol. 22(4), pages 1069-1091, August.
- Stefania VITALI & Gabriele TEDESCHI, 2011. "The impact of classes of innovators on Technology, Financial Fragility and Economic Growth," Working Papers 370, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
- Kyrylo Shmatov & Mikhail Smirnov, 2005. "On Some Processes and Distributions in a Collective Model of Investors' Behavior," Papers nlin/0506015, arXiv.org.
- Gavriilidis, Konstantinos & Kallinterakis, Vasileios & Tsalavoutas, Ioannis, 2016. "Investor mood, herding and the Ramadan effect," Journal of Economic Behavior & Organization, Elsevier, vol. 132(S), pages 23-38.
- Vivien Lespagnol & Juliette Rouchier, 2015. "What Is the Impact of Heterogeneous Knowledge About Fundamentals on Market Liquidity and Efficiency: An ABM Approach," Lecture Notes in Economics and Mathematical Systems, in: Frédéric Amblard & Francisco J. Miguel & Adrien Blanchet & Benoit Gaudou (ed.), Advances in Artificial Economics, edition 127, pages 105-117, Springer.
- Constantinos VORLOW & Antonios ANTONIOU & Catherine KYRTSOU, 2004. "Surrogate Data Analysis and Stochastic Chaotic Modelling: Application to Stock Exchange Returns Series," Computing in Economics and Finance 2004 27, Society for Computational Economics.
- Pyo, Dong-Jin, 2015. "Animal spirits and stock market dynamics," ISU General Staff Papers 201501010800005596, Iowa State University, Department of Economics.
- Xue-Zhong He & Youwei Li, 2008. "Heterogeneity, convergence, and autocorrelations," Quantitative Finance, Taylor & Francis Journals, vol. 8(1), pages 59-79.
- S. Alfarano & M. Milakovic & M. Raddant, 2013.
"A note on institutional hierarchy and volatility in financial markets,"
The European Journal of Finance, Taylor & Francis Journals, vol. 19(6), pages 449-465, July.
- Alfarano, Simone & Milakovic, Mishael & Raddant, Matthias, 2011. "A Note on institutional hierarchy and volatility in financial markets," MPRA Paper 30902, University Library of Munich, Germany.
- Boubaker Heni & Canarella Giorgio & Miller Stephen M. & Gupta Rangan, 2017.
"Time-varying persistence of inflation: evidence from a wavelet-based approach,"
Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(4), pages 1-18, September.
- Heni Boubaker & Giorgio Canarella & Rangan Gupta & Stephen M. Miller, 2016. "Time-Varying Persistence of Inflation: Evidence from a Wavelet-Based Approach," Working Papers 201647, University of Pretoria, Department of Economics.
- Heni Boubaker & Giorgio Canarella & Rangan Gupta & Stephen M. Miller, 2016. "Time-Varying Persistence of Inflation: Evidence from a Wavelet-based Approach," Working papers 2016-09, University of Connecticut, Department of Economics.
- Chiarella, Carl & He, Xue-Zhong, 2002.
"Heterogeneous Beliefs, Risk and Learning in a Simple Asset Pricing Model,"
Computational Economics, Springer;Society for Computational Economics, vol. 19(1), pages 95-132, February.
- Xue-Zhong He & Carl Chiarella, 1999. "Heterogeneous Beliefs, Risk and Learning in a Simple Asset-Pricing Model," Computing in Economics and Finance 1999 223, Society for Computational Economics.
- Carl Chiarella & Xue-Zhong He, 1999. "Heterogeneous Beliefs, Risks and Learning in a Simple Asset Pricing Model," Research Paper Series 18, Quantitative Finance Research Centre, University of Technology, Sydney.
- Daniele Giachini, 2018. "Rationality and Asset Prices under Belief Heterogeneity," LEM Papers Series 2018/07, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
- Jan A. Lipski & Ryszard Kutner, 2013. "Agent-Based Stock Market Model with Endogenous Agents' Impact," Papers 1310.0762, arXiv.org, revised Dec 2013.
- Catherine Kyrtsou & Michel Terraza, 2003. "Is it Possible to Study Chaotic and ARCH Behaviour Jointly? Application of a Noisy Mackey–Glass Equation with Heteroskedastic Errors to the Paris Stock Exchange Returns Series," Computational Economics, Springer;Society for Computational Economics, vol. 21(3), pages 257-276, June.
- Le, Van & Zurbruegg, Ralf, 2014. "Forecasting option smile dynamics," International Review of Financial Analysis, Elsevier, vol. 35(C), pages 32-45.
- He, Xue-Zhong & Li, Youwei, 2007. "Power-law behaviour, heterogeneity, and trend chasing," Journal of Economic Dynamics and Control, Elsevier, vol. 31(10), pages 3396-3426, October.
- Andrea Morone, 2008.
"Financial markets in the laboratory: an experimental analysis of some stylized facts,"
Quantitative Finance, Taylor & Francis Journals, vol. 8(5), pages 513-532.
- Andrea Morone, 2005. "Financial Market in the Laboratory, an Experimental Analysis of some Stylized Facts," Papers on Strategic Interaction 2005-27, Max Planck Institute of Economics, Strategic Interaction Group.
- A. K. Karlis & G. Galanis & S. Terovitis & M. S. Turner, 2021.
"Heterogeneity and clustering of defaults,"
Quantitative Finance, Taylor & Francis Journals, vol. 21(9), pages 1533-1549, September.
- Karlis, Alexandros & Galanis, Giorgos & Terovitis, Spyridon & Turner, Matthew, 2015. "Heterogeneity and Clustering of Defaults," The Warwick Economics Research Paper Series (TWERPS) 1083, University of Warwick, Department of Economics.
- Hommes, Cars H., 2006.
"Heterogeneous Agent Models in Economics and Finance,"
Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 23, pages 1109-1186,
Elsevier.
- Cars H. Hommes, 2005. "Heterogeneous Agent Models in Economics and Finance," Tinbergen Institute Discussion Papers 05-056/1, Tinbergen Institute.
- J. Doyne Farmer, 2002.
"Market force, ecology and evolution,"
Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 11(5), pages 895-953, November.
- J. Doyne Farmer, 1998. "Market Force, Ecology, and Evolution," Research in Economics 98-12-117e, Santa Fe Institute.
- J. Doyne Farmer, 1999. "Market Force, Ecology, and Evolution," Computing in Economics and Finance 1999 651, Society for Computational Economics.
- Tedeschi, Gabriele & Iori, Giulia & Gallegati, Mauro, 2012.
"Herding effects in order driven markets: The rise and fall of gurus,"
Journal of Economic Behavior & Organization, Elsevier, vol. 81(1), pages 82-96.
- Iori, G. & Tedeschi, G., 2010. "Herding effects in order driven markets: The rise and fall of gurus," Working Papers 10/05, Department of Economics, City University London.
- Jiahua Wang & Hongliang Zhu & Dongxin Li, 2018. "Price Dynamics in an Order-Driven Market with Bayesian Learning," Complexity, Hindawi, vol. 2018, pages 1-15, November.
- 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.
- Vivien Lespagnol & Juliette Rouchier, 2018. "Trading Volume and Price Distortion: An Agent-Based Model with Heterogenous Knowledge of Fundamentals," Computational Economics, Springer;Society for Computational Economics, vol. 51(4), pages 991-1020, April.
- Adrián Carro & Raúl Toral & Maxi San Miguel, 2015. "Markets, Herding and Response to External Information," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-28, July.
- Andrea Morone, 2002.
"Financial Market in the Laboratory,"
Computing in Economics and Finance 2002
151, Society for Computational Economics.
- Andrea Morone, 2004. "Financial Market in the Laboratory," Experimental 0401002, University Library of Munich, Germany.
- Wang, Guochao & Zheng, Shenzhou & Wang, Jun, 2019. "Complex and composite entropy fluctuation behaviors of statistical physics interacting financial model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 517(C), pages 97-113.
- Nicolas, Maxime L.D., 2022. "Estimating a model of herding behavior on social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
- Lux, Thomas & Schornstein, Sascha, 2005.
"Genetic learning as an explanation of stylized facts of foreign exchange markets,"
Journal of Mathematical Economics, Elsevier, vol. 41(1-2), pages 169-196, February.
- Lux, Thomas & Schornstein, Sascha, 2002. "Genetic learning as an explanation of stylized facts of foreign exchange markets," Discussion Paper Series 1: Economic Studies 2002,29, Deutsche Bundesbank.
- Lux, Thomas & Schornstein, Sascha, 2003. "Genetic learning as an explanation of stylized facts of foreign exchange markets," Economics Working Papers 2003-12, Christian-Albrechts-University of Kiel, Department of Economics.
- Panagiotis Papaioannnou & Lucia Russo & George Papaioannou & Constantinos Siettos, 2013. "Can social microblogging be used to forecast intraday exchange rates?," Papers 1310.5306, arXiv.org.
- Lye, Ribin & Tan, James Peng Lung & Cheong, Siew Ann, 2012. "Understanding agent-based models of financial markets: A bottom–up approach based on order parameters and phase diagrams," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(22), pages 5521-5531.
- Kyrtsou, Catherine & Terraza, Michel, 2002. "Stochastic chaos or ARCH effects in stock series?: A comparative study," International Review of Financial Analysis, Elsevier, vol. 11(4), pages 407-431.
- Le, Van & Zurbruegg, Ralf, 2010. "The role of trading volume in volatility forecasting," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 20(5), pages 533-555, December.
- Gonzalo Castañeda, 2010. "Crisis económicas y cambios de paradigma," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 25(2), pages 425-441.
- Khaldoun Khashanah & Talal Alsulaiman, 2017. "Connectivity, Information Jumps, and Market Stability: An Agent-Based Approach," Complexity, Hindawi, vol. 2017, pages 1-16, August.
- Gardini, L. & Radi, D. & Schmitt, N. & Sushko, I. & Westerhoff, F., 2022. "Causes of fragile stock market stability," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 483-498.
- Lux, Thomas, 2008. "Stochastic behavioral asset pricing models and the stylized facts," Kiel Working Papers 1426, Kiel Institute for the World Economy (IfW Kiel).
- Verónica Amarante & Ivone Perazzo, 2011. "Cantidad de niños en los hogares uruguayos: un análisis de los determinantes económicos, 1996-2006," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 26(1), pages 3-34.
- Bence Toth & Imon Palit & Fabrizio Lillo & J. Doyne Farmer, 2011. "Why is order flow so persistent?," Papers 1108.1632, arXiv.org, revised Nov 2014.
- Jan A. Lipski & Ryszard Kutner, 2013. "Trust in foreseeing neighbours - a novel threshold model of financial market," Papers 1301.1824, arXiv.org.
- Simone Alfarano & Thomas Lux, 2007.
"A Minimal Noise Trader Model with Realistic Time Series Properties,"
Springer Books, in: Gilles Teyssière & Alan P. Kirman (ed.), Long Memory in Economics, pages 345-361,
Springer.
- Alfarano, Simone & Lux, Thomas, 2003. "A minimal noise trader model with realistic time series properties," Economics Working Papers 2003-15, Christian-Albrechts-University of Kiel, Department of Economics.
- Alfarano, Simone & Lux, Thomas, 2006. "A minimal noise trader model with realistic time series properties," Economics Working Papers 2006-11, Christian-Albrechts-University of Kiel, Department of Economics.
- Christopher D. Clack & Elias Court & Dmitrijs Zaparanuks, 2020. "Dynamic Coupling and Market Instability," Papers 2005.13621, arXiv.org.
- Omurtag, Ahmet & Sirovich, Lawrence, 2006. "Modeling a large population of traders: Mimesis and stability," Journal of Economic Behavior & Organization, Elsevier, vol. 61(4), pages 562-576, December.
- Kyubin Yim & Gabjin Oh & Seunghwan Kim, 2016. "Understanding Financial Market States Using an Artificial Double Auction Market," PLOS ONE, Public Library of Science, vol. 11(3), pages 1-15, March.
- Binghui Wu & Tingting Duan, 2019. "Nonlinear Dynamics Characteristic of Risk Contagion in Financial Market Based on Agent Modeling and Complex Network," Complexity, Hindawi, vol. 2019, pages 1-12, June.
- Noemi Schmitt & Ivonne Schwartz & Frank Westerhoff, 2022.
"Heterogeneous speculators and stock market dynamics: a simple agent-based computational model,"
The European Journal of Finance, Taylor & Francis Journals, vol. 28(13-15), pages 1263-1282, October.
- Schmitt, Noemi & Schwartz, Ivonne & Westerhoff, Frank H., 2020. "Heterogeneous speculators and stock market dynamics: A simple agent-based computational model," BERG Working Paper Series 160, Bamberg University, Bamberg Economic Research Group.
- Xue-Zhong He & Youwei Li, 2005.
"Heterogeneity, Profitability and Autocorrelations,"
Research Paper Series
147, Quantitative Finance Research Centre, University of Technology, Sydney.
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"Asset price dynamics with heterogeneous beliefs and local network interactions,"
Journal of Economic Dynamics and Control, Elsevier, vol. 37(12), pages 2623-2642.
- Valentyn Panchenko & Sergiy Gerasymchuk & Oleg V. Pavlov, 2013. "Asset Price Dynamics with Heterogeneous Beliefs and Local Network Interactions," Discussion Papers 2013-18, School of Economics, The University of New South Wales.
- Mine Caglar, 2011. "Stock Price Processes with Infinite Source Poisson Agents," Papers 1106.6300, arXiv.org.
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"Hedging against Risk in a Heterogeneous Leveraged Market,"
The Warwick Economics Research Paper Series (TWERPS)
1084, University of Warwick, Department of Economics.
- Karlis, Alexandros & Galanis, Giorgos & Terovitis, Spyridon & Turner, Matthew, 2015. "Hedging against Risk in a Heterogeneous Leveraged Market," Economic Research Papers 270010, University of Warwick - Department of Economics.
- Iori, G. & Porter, J., 2012. "Agent-Based Modelling for Financial Markets," Working Papers 12/08, Department of Economics, City University London.
- Hommes, C.H., 2005. "Heterogeneous Agent Models in Economics and Finance, In: Handbook of Computational Economics II: Agent-Based Computational Economics, edited by Leigh Tesfatsion and Ken Judd , Elsevier, Amsterdam 2006," CeNDEF Working Papers 05-03, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
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"A Noise Trader Model As A Generator Of Apparent Financial Power Laws And Long Memory,"
Macroeconomic Dynamics, Cambridge University Press, vol. 11(S1), pages 80-101, November.
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- Valentyn Panchenko & Sergiy Gerasymchuk & Oleg V. Pavlov, 2007. "Asset price dynamics with small world interactions under hetereogeneous beliefs," Working Papers 149, Department of Applied Mathematics, Università Ca' Foscari Venezia.
- Lux, Thomas, 2012. "Estimation of an agent-based model of investor sentiment formation in financial markets," Journal of Economic Dynamics and Control, Elsevier, vol. 36(8), pages 1284-1302.
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"Endogenous time-varying risk aversion and asset returns,"
Journal of Evolutionary Economics, Springer, vol. 26(3), pages 581-601, July.
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Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(8), pages 2055-2065.
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- Catherine Kyrtsou & Michel Terraza, 2000. "Is It Possible To Study Jointly Chaotic And Arch Behaviour? Application Of A Noisy Mackey-Glass Equation With Heteroskedastic Errors To The Paris Stock Exchange," Computing in Economics and Finance 2000 Z226, Society for Computational Economics.
- Isao Yagi & Yuji Masuda & Takanobu Mizuta, 2020. "Analysis of the Impact of High-Frequency Trading on Artificial Market Liquidity," Papers 2010.13038, arXiv.org.
- Vivien Lespagnol & Juliette Rouchier, 2018. "Trading Volume and Price Distortion: An Agent-Based Model with Heterogenous Knowledge of Fundamentals," Post-Print hal-02084910, HAL.
- Panagiotis Papaioannou & Lucia Russo & George Papaioannou & Constantinos Siettos, 2013. "Can social microblogging be used to forecast intraday exchange rates?," Netnomics, Springer, vol. 14(1), pages 47-68, November.