Abstract

 
 

References (9)



 


 



Macro-Prudential Regulation from the Perspective of the Financial Network


Yandong Jia


People's Bank of China, Institute of Finance

April 20, 2010


Abstract:     
From the perspective of financial network stability analysis achieved by studying the network formed with linkages of individual financial institutes, this article aims to delve into the monitoring, warning, and analyzing of the systematic risk of the financial system as a whole, which is the key to drive macro-prudential regulation forward within the regime of existing financial regulations.
Through our analysis we've achieved the following. First, a new way of depict of the structure of financial system's network and a practical method of macro-prudential regulation is proposed. Second, by analyzing the stability of the banking network, it can be seen that after the explosion of the economic crisis, the country's macro-economic policies to improve the stability of China’s own financial network produced positive results. Third, through an initial empirical analysis of the national banking network, the country's inter-banking network displays a structural characteristic of the coexistence of important nodes and locally closely-connected clusters.

Number of Pages in PDF File: 26

Keywords: macro-prudential, financial network, payment and settlement system

working papers series


Download This Paper

Date posted: June 29, 2011  

Suggested Citation

Jia, Yandong, Macro-Prudential Regulation from the Perspective of the Financial Network (April 20, 2010). Available at SSRN: http://ssrn.com/abstract=1874589 or http://dx.doi.org/10.2139/ssrn.1874589

Contact Information

Yandong Jia (Contact Author)
People's Bank of China, Institute of Finance ( email )
Beijing
China
Feedback to SSRN (Beta)


Paper statistics
Abstract Views: 145
Downloads: 36
References:  9

© 2013 Social Science Electronic Publishing, Inc. All Rights Reserved.  FAQ   Terms of Use   Privacy Policy   Copyright
This page was processed by apollo3 in 0.813 seconds