Network-Based Modeling and Analysis of Systemic Risk in Banking Systems

MIS Quarterly ◽  
2012 ◽  
Vol 36 (4) ◽  
pp. 1269 ◽  
Author(s):  
Hu ◽  
Zhao ◽  
Hua ◽  
Wong
2017 ◽  
Vol 33 ◽  
pp. 96-119 ◽  
Author(s):  
Pejman Abedifar ◽  
Paolo Giudici ◽  
Shatha Qamhieh Hashem

2014 ◽  
Vol 7 (3) ◽  
pp. 697-720
Author(s):  
Dirk Visser ◽  
Gary Van Vuuren

A stress-testing model to evaluate liquidity and systemic risk in banks of developed and emerging economies has been assembled and tested. The Liquidity Stress Tester model (LST) was applied to Dutch and UK markets during crisis and non-crisis periods in previous research – here it is applied to South African banks. The flexibility and adaptability of the LST allows different banking systems and reactions of system participants to be evaluated comprehensively. Feedback effects arising from bank reactions to severely stressed haircuts and increases in systemic risk caused by reputation degradation are considered, as is the effect of enhanced contagion from other banks. 


Author(s):  
STEFANO ZEDDA ◽  
MICHELE PATANÉ ◽  
LUANA MIGGIANO

In this paper, we analyzed the role of banks’ traditional lending on systemic stability. Firstly, we quantified the effect of correlation among banks’ results on systemic risk through Monte Carlo simulation. Secondly, we verified how traditional lending affects banks’ results correlation. Finally, combining the two effects, we assessed the importance of bank traditional lending on financial stability. Our results suggest that banks devoting a higher share of their assets to traditional lending show a lower correlation of their comprehensive income, thus having a mitigation effect on systemic stability.


Author(s):  
Rama Cont ◽  
Amal Moussa ◽  
Edson Bastos e Santos

2013 ◽  
pp. 327-368 ◽  
Author(s):  
Rama Cont ◽  
Amal Moussa ◽  
Edson B. Santos

2021 ◽  
Author(s):  
Muhammad Suhail Rizwan ◽  
Ghufran Ahmad ◽  
Dawood Ashraf

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