On Some Processes and Distributions in a Collective Model of Investors' Behavior
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- Jun-ichi Maskawa, 2001. "Ordered phase and non-equilibrium fluctuation in stock market," Papers cond-mat/0110120, arXiv.org.
- C. Chiarella & X-Z. He, 2001.
"Asset price and wealth dynamics under heterogeneous expectations,"
Quantitative Finance, Taylor & Francis Journals, vol. 1(5), pages 509-526.
- Carl Chiarella & Xue-Zhong He, 2001. "Asset Price and Wealth Dynamics Under Heterogeneous Expectations," Research Paper Series 56, Quantitative Finance Research Centre, University of Technology, Sydney.
- Xue-Zhong (Tony) He & Carl Chiarella, 2001. "Asset Price and Wealth Dynamics under Heterogeneous Expectations," CeNDEF Workshop Papers, January 2001 5A.2, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
- Chen, Ping, 1987. "Origin of the division of labour and a stochastic mechanism of differentiation," European Journal of Operational Research, Elsevier, vol. 30(3), pages 246-250, June.
- Kaizoji, Taisei, 2000.
"Speculative bubbles and crashes in stock markets: an interacting-agent model of speculative activity,"
Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 287(3), pages 493-506.
- Taisei Kaizoji, 2000. "Speculative bubbles and crashes in stock market: an interacting-agent model of speculative activity," Papers cond-mat/0010263, arXiv.org.
- Iori, Giulia, 2002.
"A microsimulation of traders activity in the stock market: the role of heterogeneity, agents' interactions and trade frictions,"
Journal of Economic Behavior & Organization, Elsevier, vol. 49(2), pages 269-285, October.
- Giulia Iori, 1999. "A microsimulation of traders activity in the stock market: the role of heterogeneity, agents' interactions and trade frictions," Finance 9905005, University Library of Munich, Germany.
- Giulia Iori, 2000. "A microsimulation of traders activity in the stock market: the role of heterogeneity, agents' interactions and trade frictions," Finance 0004007, University Library of Munich, Germany.
- 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.
- Krawiecki, A. & Hołyst, J.A., 2003. "Stochastic resonance as a model for financial market crashes and bubbles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 317(3), pages 597-608.
- Challet, Damien & Marsili, Matteo & De Martino, Andrea, 2004. "Stylized facts in minority games with memory: a new challenge," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 338(1), pages 143-150.
- Bak, P. & Paczuski, M. & Shubik, M., 1997.
"Price variations in a stock market with many agents,"
Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 246(3), pages 430-453.
- P. Bak & M. Paczuski & M. Shubik, 1996. "Price Variations in a Stock Market with Many Agents," Working Papers 96-09-075, Santa Fe Institute.
- P. Bak & M. Paczuski & Martin Shubik, 1996. "Price Variations in a Stock Market with Many Agents," Cowles Foundation Discussion Papers 1132, Cowles Foundation for Research in Economics, Yale University.
- Granovsky, Boris L. & Madras, Neal, 1995. "The noisy voter model," Stochastic Processes and their Applications, Elsevier, vol. 55(1), pages 23-43, January.
- Bouchaud,Jean-Philippe & Potters,Marc, 2003. "Theory of Financial Risk and Derivative Pricing," Cambridge Books, Cambridge University Press, number 9780521819169, October.
- Tang, Lei-Han & Tian, Guang-Shan, 1999. "Reaction–diffusion–branching models of stock price fluctuations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 264(3), pages 543-550.
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