[1] Jiang Qiao, Liu Xiaoxing, Ma Qianting, et al. A multilayer network model of the bankingsystem and its evolution [J]. Journal of Southeast University (English Edition), 2023, 39 (3): 233-239. [doi:10.3969/j.issn.1003-7985.2023.03.003]

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A multilayer network model of the bankingsystem and its evolution()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

39

Issue:

2023 3

Page:

233-239

Research Field:

Economy and Management

Publishing date:

2023-09-20

Info

Title:

A multilayer network model of the bankingsystem and its evolution

Author(s):

Jiang Qiao¹;  Liu Xiaoxing¹;  2;  Ma Qianting²;  3

¹ School of Cyber Science and Engineering, Southeast University, Nanjing 211189, China
² School of Economics and Management, Southeast University, Nanjing 211189, China
³ College of Finance, Nanjing Agricultural University, Nanjing 210095, China

Keywords:

multilayer network model;  banking system;  network evolutionary characteristics;  small-world characteristics;  dependency structure

PACS:

F830

DOI:

10.3969/j.issn.1003-7985.2023.03.003

Abstract:

A multilayer network model of the banking system is constructed based on the Pearson, Spearman, and Kendall correlations among stock returns. The three correlations correspond to the multilayer network’s Pearson, Spearman, and Kendall layers. This paper empirically analyzes the evolutionary characteristics of the multilayer network structure of the banking system from 2011 to 2020, using data from China’s listed banks. The following are the principal findings based on empirical research. Firstly, the large state-owned banks are more active within the banking system. Secondly, the interlayer correlation of the multilayer banking network exhibits volatility, with the Spearman and Kendall layers showing a higher correlation than the Pearson layer. Thirdly, the constructed bank multilayer network exhibits small-world characteristics. Fourthly, all bank nodes influence each layer of the banking multilayer network. The present research reveals the dependency structure between various correlations of bank yield fluctuations, which has a specific theoretical reference value for maintaining the banking system’s smooth operation.

References:

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Memo

Memo:

Biographies: Qiao Jiang(1972—), male, Ph. D. candidate; Ma Qianting(corresponding author), male, doctor, mqt2626@njau.edu.cn.
Foundation items: The National Natural Science Foundation of China(No. 72173018), the 71st General Program of China Postdoctoral Science Foundation(No. 2022M711649).
Citation: Jiang Qiao, Liu Xiaoxing, Ma Qianting. A multilayer network model of the banking system and its evolution[J].Journal of Southeast University(English Edition), 2023, 39(3):233-239.DOI:10.3969/j.issn.1003-7985.2023.03.003.

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