The effects of behavioral and structural assumptions in artificial stock market
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DOI: 10.1016/j.physa.2008.01.025
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Cited by:
- Luisanna Cocco & Michele Marchesi, 2016.
"Modeling and Simulation of the Economics of Mining in the Bitcoin Market,"
PLOS ONE, Public Library of Science, vol. 11(10), pages 1-31, October.
- Luisanna Cocco & Michele Marchesi, 2016. "Modeling and Simulation of the Economics of Mining in the Bitcoin Market," Papers 1605.01354, arXiv.org.
- Luisanna Cocco & Giulio Concas & Michele Marchesi, 2017.
"Using an artificial financial market for studying a cryptocurrency market,"
Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(2), pages 345-365, July.
- Luisanna Cocco & Giulio Concas & Michele Marchesi, 2014. "Using an Artificial Financial Market for studying a Cryptocurrency Market," Papers 1406.6496, arXiv.org.
- Olivier Brandouy & Angelo Corelli & Iryna Veryzhenko & Roger Waldeck, 2012. "A re-examination of the “zero is enough” hypothesis in the emergence of financial stylized facts," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 7(2), pages 223-248, October.
- Kukacka, Jiri & Barunik, Jozef, 2013.
"Behavioural breaks in the heterogeneous agent model: The impact of herding, overconfidence, and market sentiment,"
Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(23), pages 5920-5938.
- Jiri Kukacka & Jozef Barunik, 2012. "Behavioural breaks in the heterogeneous agent model: the impact of herding, overconfidence, and market sentiment," Papers 1205.3763, arXiv.org, revised May 2013.
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Keywords
Stylized facts; Artificial stock market; Behavioral and structural assumptions; Minority game; Market clearing frequency;All these keywords.
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