Agent‐Based Modeling of a Multiagent Multilayer Endogenous Financial Network and Numerical Simulations
Author(s) -
Zhinan Li,
Xiaoyuan Liu
Publication year - 2022
Publication title -
discrete dynamics in nature and society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.264
H-Index - 39
eISSN - 1607-887X
pISSN - 1026-0226
DOI - 10.1155/2022/6945286
Subject(s) - loan , financial networks , network formation , investment (military) , business , construct (python library) , computer science , finance , systemic risk , economics , computer network , financial crisis , politics , world wide web , political science , law , macroeconomics
Based on a realistic correlated behavior mechanism and a connected balance sheet relationship among firms, banks, households, and the government, we construct a multiagent multilayer endogenous financial network that includes an interbank network, an investment network, a deposit network, a business credit network, and a loan network. During the construction process, behaviors are endogenized such that an endogenous financial network is constructed. The simulation results show that the interbank network, the investment network, and the business credit network all obey the power-law distribution; the deposit network and the loan network exhibit a tendency for large banks to have larger degree distributions and small banks to have smaller degree distributions.
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