On the Cellular Automata Model of Pessimism Infection Among Depositors
CHEN Jianxin
1. Faculty of Applied Mathematics, Guangdong University of Technology, Guangzhou 510520, China; 2. School of Business Administration, South China University of Technology, Guangzhou 510640, China
Abstract：According to the characteristics of the pessimism infection of the depositors, we construct the pessimism infection model for depositors by means of population model in biology. The dynamic process of the contagion in time and space is simulated by the cellular automata model. Through the study of transmission rules and the dynamics behavior the causes of the bank runs will be reveled from the microscopic level of the pessimism contagion for depositors. It is significant to block and postpone the early withdrawal of depositors. At the same time, it can provide theoretical support for us to prevent the banks from the banking crisis, and at the same time it also can keep the bank system stable.
陈建新. 银行储户悲观情绪传染的元胞自动机模型研究[J]. 复杂系统与复杂性科学, 2015, 12(3): 27-32.
CHEN Jianxin. On the Cellular Automata Model of Pessimism Infection Among Depositors[J]. Complex Systems and Complexity Science, 2015, 12(3): 27-32.
[1] Devenow A, Welch I. Rational herding in financial economics[J]. European Economic Review, 1996, 40(3): 603-615. [2] Diamond D W, Dvbvig P H. Bank runs, deposit insurance, and liquidity[J]. Journal of Political Economy, 1983, 91(3): 401-430. [3] Chang R, Velasco A. The asian liquidity crisis[R]. New York: National Bureau of Economic Research, 1998. [4] Chang R, Velasco A. Financial fragility and the exchange rate regime[J]. Journal of Economic Theory, 2000, 92(1): 1-34. [5] Chang R, Velasco A. Financial crises in emerging markets[R]. New York: National Bureau of Economic Research, 1998. [6] Chen Y. Banking panics: the role of the first-come, first-served rule and information externalities[J]. Journal of Political Economy, 1999, 107(5): 946-968. [7] Allen F, Gale D. Optimal financial crises[J]. Journal of Finance, 1998, 53(4):1245-1284. [8] Chang R, Velasco A. Bank,debt maturity and financial crises[J]. Journal of International Economics, 2000, 51(1):169-194. [9] Macey J R, Miller G P. Bank failures, risk monitoring, and the market for bank control[J]. Columbia Law Review, 1988:1153-1226. [10] Garratt R, Keister T. Bank runs as coordination failures: an experimental study[J].Journal of Economic Behavior & Organization, 2009, 71(2): 300-317. [11] 蒲勇健.金融挤兑的一种博弈论模型描述与贝叶斯纳什均衡的唯一性[J]. 管理工程学报, 2005, 19(2): 86-92. Pu Yongjian. A game theory model on the financial crisis with an unique bayesian Nash equilibrium[J].Journal of Industrial Engineering and Engineering Management, 2005, 19(2): 86-92. [12] 乔海曙, 李远航. 银行挤兑危机的博弈分析[J]. 财经理论与实践, 2006, 141(3): 28-32. Qiao Haishu, Li Yuanhang. Game analysis of bank squeezing crisis[J].The Theory and Practice of Finance and Economics, 2006, 141(3): 28-32. [13] 张仁德, 姜磊. 银行声誉、存款人预期与银行挤兑[J]. 南开经济研究, 2005, 121(1): 96-99. Zhang Renlei, Jiang Lei. Bank’s reputation、depositor expectation and bank run[J]. Naikai Economic Studies, 2005,121(1):96-99. [14] 李涛, 都海岩. 银行挤兑、信息不对称及金融安全网的构建[J]. 济南金融, 2007,311(11): 13-16. Li Tao, Du Haiyan. Bank run. Information asymmetry and the construction of financial safety net[J]. Jinan Finance, 2007,311( 11): 13-16. [15] 邹新月, 李思慧. 商业银行挤兑机理及信息层叠概率计算[J]. 广东金融学院学报. 2010, 25(1): 52-62. Zou Xinyue, Li Sihui.The mechanism of bank run in commercial banks and the calculation of probability of overlapping information[J]. Journal of Finance and Economics. 2010, 25(1): 52-62. [16] 王怡, 李红刚. 信息不对称引发的银行挤兑和风险传染模型[J]. 北京师范大学学报(自然科学版), 2012, 48(3): 313-317. Wang Yi,Li Honggang. Bank Run. risk contagion and asymmetric information[J]. Journal of Beijing Normal University (Natural Science), 2012,48(3): 313-317. [17] 邓晶, 李红刚.基于羊群效应的银行挤兑和风险传染模型[J]. 复杂系统与复杂性科学, 2012, 9(2): 23-30. Deng Jing, Li HongGang. Bank run, risk contagion and herb behavior[J]. Complex systems and Complexity Science, 2012, 9(2): 23-30. [18] Levins R. Some demographic and genetic consequences of environmental heterogeneity of biological control[J].Bulletin of the Entomological Society of America, 1969, 15(3): 237-240. [19] Wolfram S. Statistical mechanics of cellular automata[J]. Reviews of Modern Physics, 1983,55(3): 601-643. [20] Moore C D. Complexity and dynamical system[D]. USA: Cornell University, 1991. [21] 陈建新,罗伟其,庞素琳. 银行风险传染的集合种群模型[J]. 系统工程理论与实践,2011,32(3):543-548. Chen Jianxin, Luo Weiqi, Pang Sulin. The risk infection for the bank of met population model[J]. System Engineering-Theroy & Practice, 2011, 32(3):543-548.
