Risk sharing framework and systemic tolerance in Indian banks: Double layer network approach

被引:0
|
作者
Banerjee, Ameet Kumar [1 ]
Rahman, Molla Ramizur [2 ]
Misra, Arun Kumar [3 ]
Sensoy, Ahmet [4 ]
机构
[1] Xavier Sch Management, XLRI, Jamshedpur, Jharkhand, India
[2] IIM Bodh Gaya, Turi Khurd, Bihar, India
[3] Indian Inst Technol Kharagpur, Kharagpur, India
[4] Bilkent Univ, Fac Business Adm, Ankara, Turkiye
关键词
Systemic tolerance; Systemic risk; Duplex network; Threshold distance; CAPITAL SHORTFALL;
D O I
10.1016/j.ribaf.2024.102636
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
Interconnectedness spreads systemic risk and is critical in enhancing banks' systemic tolerance through interbank liquidity and lines of credit. Literature on systemic risk has not considered the importance of interconnectedness in providing liquidity to improve banks' systemic tolerance. As a bank's resistivity towards systemic disruption depends on its tolerance, the current article develops a model to measure the systemic tolerance of individual banks in a two-layer interbank network using Delta CoVaR. It estimates systemic tolerance distance through a risk-sharing framework and analyzes the significance of macroeconomic and bank-specific factors in explaining systemic tolerance. The results support that systemic tolerance values are higher during the downcycle than the up-cycle, signaling the importance of interconnectedness in protecting against systemic crises. The empirics further substantiate that risk-sharing distance is lower, and structure is complex with clusters during economic down-cycle. This highlights that banks couple with each other during stressful environments and empirically validate the importance of interbank and lines of credit in enhancing systemic tolerance and, therefore, possess the regulator to develop a robust interbank market through regulatory guidelines.
引用
收藏
页数:13
相关论文
共 38 条
  • [31] Measuring systemic risk in the global banking sector: A cross-quantilogram network approach
    Baumohl, Eduard
    Bouri, Elie
    Hoang, Thi-Hong-Van
    Shahzad, Syed Jawad Hussain
    Vyrost, Tomas
    ECONOMIC MODELLING, 2022, 109
  • [32] SYSTEMIC RISK OF THE GLOBAL BANKING SYSTEM - AN AGENT-BASED NETWORK MODEL APPROACH
    Klinger, Tomas
    Teply, Petr
    PRAGUE ECONOMIC PAPERS, 2014, 23 (01): : 24 - 41
  • [33] Bank lending and systemic risk: A financial-real sector network approach with feedback
    Silva, Thiago Christiano
    Alexandre, Michel da Silva
    Tabak, Benjamin Miranda
    JOURNAL OF FINANCIAL STABILITY, 2018, 38 : 98 - 118
  • [34] Interconnectedness and systemic risk network of Chinese financial institutions: A LASSO-CoVaR approach
    Xu, Qifa
    Li, Mengting
    Jiang, Cuixia
    He, Yaoyao
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2019, 534
  • [35] Double-Layer Network Model of Bank-Enterprise Counterparty Credit Risk Contagion
    Chen, Tingqiang
    Yang, Qinghao
    Wang, Yutong
    Wang, Suyang
    COMPLEXITY, 2020, 2020
  • [36] Systemic risk analytics: A data-driven multi-agent financial network (MAFN) approach
    Markose, Sheri M.
    JOURNAL OF BANKING REGULATION, 2013, 14 (3-4) : 285 - 305
  • [37] Research on sovereign credit and international banking industry tail risk contagion ----Perspective from double-layer complex network
    Gong, Xiao-Li
    Wu, Zhuo-Cheng
    Xiong, Xiong
    Zhang, Wei
    INTERNATIONAL REVIEW OF ECONOMICS & FINANCE, 2025, 99
  • [38] Dynamics of systemic risk in European gas and oil markets under the Russia-Ukraine conflict: A quantile regression neural network approach
    Zhou, En
    Wang, Xinyu
    ENERGY REPORTS, 2023, 9 : 3956 - 3966