An approach for measuring corporation financial stability by Econophysics and Bayesian method

被引：7
作者：
Zhong, Guang-Yan [1 ,2 ]
Li, Jiang-Cheng [2 ]
Mei, Dong-Cheng [1 ]
Tang, Nian-Sheng [3 ]
机构：
[1] Yunnan Univ, Dept Phys, Kunming 650091, Yunnan, Peoples R China
[2] Yunnan Univ Finance & Econ, Sch Finance, Kunming 650221, Yunnan, Peoples R China
[3] Yunnan Univ, Dept Stat, Kunming 650091, Yunnan, Peoples R China
来源：
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | 2019年 / 527卷
基金：
中国国家自然科学基金;
关键词：
Bayesian approach; Stability; Predator-prey behaviour; Mean extinction time; Econophysics; REGIME SHIFTS; STOCHASTIC RESONANCE; ENHANCED STABILITY; NOISE; DYNAMICS; MODEL; EXTINCTION; SYSTEM; INVESTMENT; INFERENCE;
D O I：
10.1016/j.physa.2019.121197
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
Corporation financial stability was investigated by the method of Econophysics and Bayesian approach in this paper. A stochastic predator-prey model was built to describe the corporation financial condition. The mean limiting extinction time was proposed to measure the corporation financial stability. The model parameters were estimated by using Bayesian approach with real corporation financial data. Experimental results show that: (i) an increase of system risk corresponds to a decrease of the corporation stability; (ii) the optimal initial financial condition enhances the corporation stability to its maximum extent; (iii) under the optimal initial financial condition, the optimal system parameters and system risk strength can be observed. (C) 2019 Elsevier B.V. All rights reserved
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页数：12
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