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Assessing resilience to systemic risks across interbank credit networks using linkage-leverage analysis: Evidence from Japan

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  • Wang, Haibo

Abstract

The banking crisis started in March 2023 was triggered by disproportion of deposit liability and assets. Applying balance sheets from 1999 to 2022, from the Japanese Bank Association, this study scrutinizes the durability of high-priority banking systems against damaging events in that industry. Eyeing the unique high-level savings in Japanese banking, this study investigates the impact of disproportion of deposit liability and assets on the financial stability of interbank credit networks through a linkage-leverage analysis. This study presents a novel framework that combines actor-network theory, network optimization, and bilateral risk exposure approaches into linkage-leverage analysis. The results in this study show that the bilateral risk exposure during a subset of years is smaller than other years, which indicates that Japanese banks minimize the risk exposure by shifting the network relationship. Finally, this study provides supporting evidence to the new paradigms on developing more stable financial systems.

Suggested Citation

  • Wang, Haibo, 2024. "Assessing resilience to systemic risks across interbank credit networks using linkage-leverage analysis: Evidence from Japan," International Review of Financial Analysis, Elsevier, vol. 94(C).
    • Handle: RePEc:eee:finana:v:94:y:2024:i:c:s1057521924002722
    DOI: 10.1016/j.irfa.2024.103340
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    More about this item

    Keywords

    Interbank credit networks; Systemic risk; Contagion; Bilateral exposures; Japanese banks;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation

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