全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...
Finance  2019 

系统重要性银行与系统重要性行业分析——基于复杂网络的研究
Systematic Important Banks and Systematic Important Industries—Research on Complex Network

DOI: 10.12677/FIN.2019.93023, PP. 197-204

Keywords: 复杂网络,最小叉熵,系统重要性银行,系统重要性行业
Complex Network
, Minimum Cross Entropy, Systematic Important Bank, Systematic Importance Industry

Full-Text   Cite this paper   Add to My Lib

Abstract:

本文基于最大熵与最小交叉熵原理,采用矩阵法模拟出2015年银行同业市场的微观数据。结合2015年银行–实体行业间的实际贷款数据,从经济金融关联网络的视角,用Gephi分别绘制出银行间网络,银行–实体间网络。根据复杂网络的统计理论,以度、加权平均度、介数中心性等为衡量指标,识别并分析系统重要性银行、系统重要性行业及两者间的内在关联。以期为监管部门立足全局视角,重点关注整个经济体系的关键环节,把控系统性风险,降低管理成本,提供一定的指导意义。
Based on the maximum and minimum cross-entropy principle, this paper simulates the micro-loan data of the interbank market in 2015. Combining with the actual loan data of the corresponding bank-entity industry, the paper draws the inter-bank network and the inter-bank-entity industry network respectively with Gephi, from the perspective of economic and financial related network. According to the statistical theory of complex networks, the paper identifies and analyzes the systemic importance banks, the systemic importance industries and the internal relationship between them, taking the degree, weighted average degree and median centrality as the measurement indicators. It is hoped that this paper will provide some guidance for the supervisory authorities to focus on the key links of the whole economic system from the overall perspective, control system risks and reduce management costs.

References

[1]  Allen, F. and Babus, A. (2009) Networks in Finance. In: Kleindorfer, P.R. and Wind, Y., Eds., The Network Challenge: Strategy, Profit, and Risk in an Interlinked World, Prentice Hall Professional, Upper Saddle River, NJ, 367-382.
[2]  Bech, M., Chapman, J. and Garratt, R. (2008) Which Bank Is the “Central”Bank? An Application of Markov Theory to the Canadian Large Value Transfer System. Federal Reserve Bank of New York Staff Report No. 356.
https://doi.org/10.2139/ssrn.1310283
[3]  高国华, 潘英丽. 基于资产负债表关联的银行系统性风险研究[J]. 管理工程学报, 2012, 26(4): 162-168.
[4]  欧阳红兵, 刘晓东. 中国金融机构的系统重要性及系统性风险传染机制分析——基于复杂网络的视角[J]. 中国管理科学, 2015, 23(10): 30-37.
[5]  邓向荣, 曹红. 系统性风险、网络传染与金融机构系统重要性评估[J]. 中央财经大学学报, 2016(3): 52-60.
[6]  陈少炜, 李旸. 我国银行体系的网络结构特征——基于复杂网络的实证分析[J]. 经济问题, 2016(8): 56-63.
[7]  方意, 张子文. 系统性风险在银行间的传染路径研究——基于持有共同资产网络模型[J]. 国际金融研究, 2016, 350(6): 61-72.
[8]  Blien, U. and Grae, F (1997) Entropy Optimizing Methods for the Estimation of Tables. In: Balderjahn, I., Mathar, R. and Schader, M., Eds., Classification, Data Analysis and Data Highways, Springer Verlag, Berlin.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133