Quantum Brownian motion model for the stock market

被引:19
作者
Meng, Xiangyi [1 ,2 ,4 ]
Zhang, Jian-Wei [3 ]
Guo, Hong [1 ,2 ]
机构
[1] Peking Univ, State Key Lab Adv Opt Commun Syst & Networks, Sch Elect Engn & Comp Sci, Beijing 100871, Peoples R China
[2] Peking Univ, Ctr Quantum Informat Technol, Beijing 100871, Peoples R China
[3] Peking Univ, Sch Phys, Beijing 100871, Peoples R China
[4] Boston Univ, Dept Phys, 590 Commonwealth Ave, Boston, MA 02215 USA
关键词
Econophysics; Stock market irrationality; Quantum Brownian motion; Fat-tail phenomena; Non-Markovian behaviors; SCALING BEHAVIOR; COMPLEX NETWORKS; MULTIFRACTAL ANALYSIS; COMPANY GROWTH; ECONOMICS; EQUATION; INDEXES; FINANCE; NOISE; FIELD;
D O I
10.1016/j.physa.2016.02.026
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
It is believed by the majority today that the efficient market hypothesis is imperfect because of market irrationality. Using the physical concepts and mathematical structures of quantum mechanics, we construct an econophysical framework for the stock market, based on which we analogously map massive numbers of single stocks into a reservoir consisting of many quantum harmonic oscillators and their stock index into a typical quantum open system-a quantum Brownian particle. In particular, the irrationality of stock transactions is quantitatively considered as the Planck constant within Heisenberg's uncertainty relationship of quantum mechanics in an analogous manner. We analyze real stock data of Shanghai Stock Exchange of China and investigate fat-tail phenomena and non-Markovian behaviors of the stock index with the assistance of the quantum Brownian motion model, thereby interpreting and studying the limitations of the classical Brownian motion model for the efficient market hypothesis from a new perspective of quantum open system dynamics. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:281 / 288
页数:8
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