Experimental econophysics: Complexity, self-organization, and emergent properties

被引:49
|
作者
Huang, J. P. [1 ,2 ]
机构
[1] Fudan Univ, Dept Phys, Shanghai 200433, Peoples R China
[2] Fudan Univ, State Key Lab Surface Phys, Shanghai 200433, Peoples R China
基金
中国国家自然科学基金;
关键词
Experimental econophysics; Statistical physics of humans in the laboratory; Controlled human experiment; Agent-based simulation; Theoretical analysis; Complexity; Self-organization; Emergent property; POWER-LAW DISTRIBUTIONS; MINORITY GAME; DECISION-MAKING; HERD BEHAVIOR; STOCK-MARKET; DYNAMICS; FLUCTUATIONS; MODEL; INFORMATION; ECONOMICS;
D O I
10.1016/j.physrep.2014.11.005
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Experimental econophysics is concerned with statistical physics of humans in the laboratory, and it is based on controlled human experiments developed by physicists to study some problems related to economics or finance. It relies on controlled human experiments in the laboratory together with agent-based modeling (for computer simulations and/or analytical theory), with an attempt to reveal the general cause-effect relationship between specific conditions and emergent properties of real economic/financial markets (a kind of complex adaptive systems). Here I review the latest progress in the field, namely, stylized facts, herd behavior, contrarian behavior, spontaneous cooperation, partial information, and risk management. Also, I highlight the connections between such progress and other topics of traditional statistical physics. The main theme of the review is to show diverse emergent properties of the laboratory markets, originating from self-organization due to the nonlinear interactions among heterogeneous humans or agents (complexity). (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:1 / 55
页数:55
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