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Discrete Dynamics in Nature and Society
Volume 2018 (2018), Article ID 9565896, 7 pages
https://doi.org/10.1155/2018/9565896
Research Article

Co-Loan Network of Chinese Banking System Based on Listed Companies’ Loan Data

1School of Economics and Management, Southeast University, Nanjing 211189, China
2School of Finance, Nanjing University of Finance and Economics, Nanjing 210023, China

Correspondence should be addressed to Liang Li; moc.621@62uesgnailil

Received 6 December 2017; Accepted 11 February 2018; Published 11 March 2018

Academic Editor: Ricardo López-Ruiz

Copyright © 2018 Liang Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Based on the loan data of Chinese listed companies from 2008 to 2016, this paper constructs a co-loan network of the Chinese banking system and analyzes the topological structures and corresponding evolvement characteristics from the perspective of complex network. Through the empirical studies, we find that the co-loan network always displays a core-periphery structure; for example, ten banks including four state banks and six large commercial banks are always in the core region of the Chinese banking system for nine consecutive years. Furthermore, the co-loan network is a small-world network lasting for nine years.