Assessing Bankss Systemic Risk Contribution: A Leave-One-Out Approach

2015 ◽  
Author(s):  
Stefano Zedda ◽  
Giuseppina Cannas
2020 ◽  
Vol 36 ◽  
pp. 101316
Author(s):  
Xiping Li ◽  
David Tripe ◽  
Chris Malone ◽  
David Smith

2019 ◽  
Vol 12 (1) ◽  
pp. 203 ◽  
Author(s):  
Xiaoming Zhang ◽  
Chunyan Wei ◽  
Stefano Zedda

One of the main issues in the recent Chinese financial reform is aimed at effectively measuring systemic risk and taking appropriate measures to ensure its sustainability and prevent new crises. In this paper, we firstly introduced the present macro-prudential policies implied in China and pointed out the existing problems. Secondly, we analyzed the banks’ assets riskiness and the banks’ probability to default, then, by means of a leave-one-out model, we measured each commercial bank systemic risk contribution. Thirdly, based on comprehensive empirical results and theoretical analysis, we provided some references for macro-prudential regulation and supervision. Results show that systemic risk is increasing in 2013–2017, in particular with reference to contagion risk, with a specific concentration within joint-stock commercial banks, suggesting a specific attention of regulators and supervisors for this category.


2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Jianxu Liu ◽  
Yangnan Cheng ◽  
Yefan Zhou ◽  
Xiaoqing Li ◽  
Hongyu Kang ◽  
...  

This paper investigates the risk contribution of 29 industrial sectors to the China stock market by using one-factor with Durante generator copulas (FDG) and component expected shortfall (CES) analyses. Risk contagion between the systemically most important sector and other sectors is examined using a copula-based ∆CoVaR approach. The data cover the 2008 global financial crisis and the beginning of the COVID-19 pandemic. The empirical results show that the banking sector contributed most to systemic risk before and during the global financial crisis. Nonbank finance became equally important in 2020, and the COVID-19 pandemic promoted the position of the computer and pharmaceuticals sectors. The spillover effect diminishes over time, but there remains risk contagion between sectors. The risk spillover trend is consistent with that of systemic risk.


2019 ◽  
Vol 11 (22) ◽  
pp. 6222
Author(s):  
Su ◽  
Huang ◽  
Drakeford

We utilized a high dimensional financial network to investigate the systemic risk contagion between different industries in China and to explore the impacts of monetary policy and industry heterogeneity factors. The empirical results suggest that the total level of systemic risk increased quite significantly during the 2008 global crisis and the 2015–2016 Stock Market Disaster. The energy, material, industrial, and financial sectors are the top systemic risk contributors. Industry heterogeneity variables such as the leverage ratio, book-to-market ratio, return on assets (ROA) and size have significant impacts on the systemic risk, but their effects on the systemic risk contribution are more pronounced than those on the systemic risk sensitivity. Moreover, monetary policy can effectively suppress the systemic risk diffusion derived from the leverage ratio. These results are essential for investors and regulators of risk management.


2018 ◽  
Vol 20 (4) ◽  
pp. 75-93 ◽  
Author(s):  
Wei-Qiang Huang ◽  
Stan Uryasev

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