How market ecology explains market malfunction

被引:27
作者
Scholl, Maarten P. [1 ,2 ]
Calinescu, Anisoara [2 ]
Farmer, J. Doyne [1 ,3 ,4 ]
机构
[1] Univ Oxford, Oxford Martin Sch, Inst New Econ Thinking, Oxford OX1 3QD, England
[2] Univ Oxford, Comp Sci Dept, Oxford OX1 3QD, England
[3] Univ Oxford, Math Inst, Oxford OX1 3QD, England
[4] Santa Fe Inst, Santa Fe, NM 87501 USA
基金
英国经济与社会研究理事会; 欧盟地平线“2020”;
关键词
market ecology; market efficiency; agent-based modeling; INVESTORS;
D O I
10.1073/pnas.2015574118
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Standard approaches to the theory of financial markets are based on equilibrium and efficiency. Here we develop an alternative based on concepts and methods developed by biologists, in which the wealth invested in a financial strategy is like the abundance of a species. We study a toy model of a market consisting of value investors, trend followers, and noise traders. We show that the average returns of strategies are strongly density dependent; that is, they depend on the wealth invested in each strategy at any given time. In the absence of noise, the market would slowly evolve toward an efficient equilibrium, but the statistical uncertainty in profitability (which is calibrated to match real markets) makes this noisy and uncertain. Even in the long term, the market spends extended periods of time away from perfect efficiency. We show how core concepts from ecology, such as the community matrix and food webs, give insight into market behavior. For example, at the efficient equilibrium, all three strategies have a mutualistic relationship, meaning that an increase in the wealth of one increases the returns of the others. The wealth dynamics of the market ecosystem explain how market inefficiencies spontaneously occur and gives insight into the origins of excess price volatility and deviations of prices from fundamental values.
引用
收藏
页数:9
相关论文
共 30 条
[1]  
Arthur W. B., 2018, The Economy as an evolving complex System II, P15, DOI DOI 10.2139/SSRN.2252
[2]   Value and Momentum Everywhere [J].
Asness, Clifford S. ;
Moskowitz, Tobias J. ;
Pedersen, Lasse Heje .
JOURNAL OF FINANCE, 2013, 68 (03) :929-985
[3]  
Beale N., 2019, ROY SOC OPEN SCI, V11, P1
[4]  
Black F., 1974, J FINANC ECON, V1, P1, DOI [DOI 10.1016/0304-405X(74)90006-3, 10.1016/0304-405X(74)90006-3]
[5]  
Bouchaud Jean-Philippe, 2017, Black was right: Price is within a factor 2 of value
[6]   Rational route to randomness [J].
Brock, WA ;
Hommes, CH .
ECONOMETRICA, 1997, 65 (05) :1059-1095
[7]   Heterogeneous beliefs and routes to chaos in a simple asset pricing model [J].
Brock, WA ;
Hommes, CH .
JOURNAL OF ECONOMIC DYNAMICS & CONTROL, 1998, 22 (8-9) :1235-1274
[8]   CONDITIONAL OUTCOMES IN MUTUALISTIC INTERACTIONS [J].
BRONSTEIN, JL .
TRENDS IN ECOLOGY & EVOLUTION, 1994, 9 (06) :214-217
[9]   The reality game [J].
Cherkashin, Dmitriy ;
Farmer, J. Doyne ;
Lloyd, Seth .
JOURNAL OF ECONOMIC DYNAMICS & CONTROL, 2009, 33 (05) :1091-1105
[10]  
Chiarella C., 1992, Annals of Operations Research, V37, P101, DOI 10.1007/BF02071051