Financial price dynamics and pedestrian counterflows: A comparison of statistical stylized facts

被引:31
|
作者
Parisi, Daniel R. [1 ,2 ]
Sornette, Didier [3 ]
Helbing, Dirk [4 ]
机构
[1] Inst Tecnol Buenos Aires, RA-1002 Buenos Aires, DF, Argentina
[2] Consejo Nacl Invest Cient & Tecn, Comis Nacl Invest Cient & Tecn, RA-1033 Buenos Aires, DF, Argentina
[3] ETH, Dept Management Technol & Econ, CH-8092 Zurich, Switzerland
[4] ETH, Chair Sociol Particular Modeling & Simulat, CH-8092 Zurich, Switzerland
关键词
STOCK-MARKET; MODEL; RETURNS;
D O I
10.1103/PhysRevE.87.012804
中图分类号
O35 [流体力学]; O53 [等离子体物理学];
学科分类号
070204 ; 080103 ; 080704 ;
摘要
We propose and document the evidence for an analogy between the dynamics of granular counterflows in the presence of bottlenecks or restrictions and financial price formation processes. Using extensive simulations, we find that the counterflows of simulated pedestrians through a door display eight stylized facts observed in financial markets when the density around the door is compared with the logarithm of the price. Finding so many stylized facts is very rare indeed among all agent-based models of financial markets. The stylized properties are present when the agents in the pedestrian model are assumed to display a zero-intelligent behavior. If agents are given decision-making capacity and adapt to partially follow the majority, periods of herding behavior may additionally occur. This generates the very slow decay of the autocorrelation of absolute return due to an intermittent dynamics. Our findings suggest that the stylized facts in the fluctuations of the financial prices result from a competition of two groups with opposite interests in the presence of a constraint funneling the flow of transactions to a narrow band of prices with limited liquidity. DOI: 10.1103/PhysRevE.87.012804
引用
收藏
页数:9
相关论文
共 50 条
  • [21] Real and financial market interactions in a multiplier-accelerator model: Nonlinear dynamics, multistability and stylized facts
    Cavalli, F.
    Naimzada, A.
    Pecora, N.
    CHAOS, 2017, 27 (10)
  • [22] STYLIZED FACTS, VOLATILITY DYNAMICS AND RISK MEASURES OF CRYPTOCURRENCIES
    Bruzge, Rasa
    Cerneviciene, Jurgita
    Sapkauskiene, Alfreda
    Macerinskiene, Aida
    Masteika, Saulius
    Driaunys, Kestutis
    JOURNAL OF BUSINESS ECONOMICS AND MANAGEMENT, 2023, 24 (03) : 527 - 550
  • [23] Dynamics of an Economic Growth Model with New Stylized Facts
    Zsiros, Adam Janos
    Ligeti, Zsombor
    PERSPECTIVES IN DYNAMICAL SYSTEMS I-APPLICATIONS, DSTA 2021, 2024, 453 : 627 - 647
  • [24] Empirical properties of asset returns: stylized facts and statistical issues
    Cont, Rama
    QUANTITATIVE FINANCE, 2001, 1 (02) : 223 - 236
  • [25] The Empirical Study on Stylized Facts in Brent Crude Oil Price System
    He, Ling-Yun
    Zheng, Feng
    Hou, Yunxian
    2007 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-15, 2007, : 5663 - +
  • [26] Financial Stylized Facts and the Taylor-Effect in Stochastic Volatility Models
    Veiga, Helena
    ECONOMICS BULLETIN, 2009, 29 (01):
  • [27] More stylized facts of financial markets: leverage effect and downside correlations
    Bouchaud, JP
    Potters, M
    PHYSICA A, 2001, 299 (1-2): : 60 - 70
  • [28] Converse trading strategies, intrinsic noise and the stylized facts of financial markets
    Westerhoff, Frank
    Franke, Reiner
    QUANTITATIVE FINANCE, 2012, 12 (03) : 425 - 436
  • [29] Macroprudential Policy and the Financial Cycle: Some Stylized Facts and Policy Suggestions
    Borio, Claudio
    WHAT HAVE WE LEARNED?: MACROECONOMIC POLICY AFTER THE CRISIS, 2014, : 71 - 85
  • [30] Volatility models for stylized facts of high-frequency financial data
    Kim, Donggyu
    Shin, Minseok
    JOURNAL OF TIME SERIES ANALYSIS, 2023, 44 (03) : 262 - 279