Abstract

We estimate an interbank lending distribution matrix, and then assume that the bankruptcy of a bank triggers a series of losses and other bank bankruptcies to establish an interbank bankruptcy chain network. We then analyze this network using the hyperlink-induced topic search (HITS) algorithm and identify the level of systemic risk. The empirical results show that there is no risk of systemic contagion in the interbank lending market in China. From the perspective of the lending market, China’s banking system is a network composed of core banks including the Bank of China and the Industrial and Commercial Bank of China, Level II banks including the Construction Bank of China, the Agricultural Bank of China, the Bank of Communications, the National Development Bank, and the Industrial Bank, and numerous Level III banks. Considering the influence of the entrance of nonbanking institutions into the interbank lending market, it is found that innovative online financial products have weakened interbank lending relationships to some extent and reduced the possibility of collective collapse caused by relation among banks in a crisis, and have thus facilitated risk diversification.

Highlights

  • Sheldon and Maurer (1998) were the first to study systemic risk in the interbank lending market using a quantitative method [1]

  • From the perspective of the lending market, China’s banking system is a network composed of core banks including the Bank of China and the Industrial and Commercial Bank of China, Level II banks including the Construction Bank of China, the Agricultural Bank of China, the Bank of Communications, the National Development Bank, and the Industrial Bank, and numerous Level III banks

  • Considering the influence of the entrance of nonbanking institutions into the interbank lending market, it is found that innovative online financial products have weakened interbank lending relationships to some extent and reduced the possibility of collective collapse caused by relation among banks in a crisis, and have facilitated risk diversification

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Summary

Introduction

Sheldon and Maurer (1998) were the first to study systemic risk in the interbank lending market using a quantitative method [1]. Li and Li (2005) studied yearly data from 1996 to 2003 related to interbank lending in China and concluded that the Chinese banking system was not at risk of a systemic crisis in relation to the lending market [10]. Fan, and Cao (2007) summarized three forms of interbank systemic risk and analyzed the spread of systemic risk in the interbank lending market in China using the matrix method. The results of their study showed that the Bank of China (BOC) and the China Construction Bank (CCB) constituted the center of the Chinese banking network, and that there were relationships among all the other banks which have minor influence on the market structure [11]. If the bank is insolvent, it will be deemed to have been bankrupted

Matrix Estimation of Interbank Lending
Course of Risk Contagion
The HITS Algorithm
Data Processing
Results
Critical Value of Bankruptcy
Conclusions
Full Text
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