FSA Analytical Notes - FSA Analysis Case Studies (2025.6) Vol.2 [English Version] <1. Analysis on Understanding the Actual State of Credit Risk Management Systems> <2. Fact-finding on the Usage of Credit Guarantee Systems>

Overview

The English version of "FSA Analytical Notes (2025.6) vol.2" published by the Financial Services Agency on June 17, 2025, contains two analyses: an analysis of regional banks' credit risk management practices and a study on the actual usage of credit guarantee systems. ## Key Points ### Analysis of Regional Banks' Credit Risk Management Practices - Conducted verification of credit risk mitigation (loan coverage) and rating transition prediction models using loan data collected through the common data platform - Found that collateral coverage ratios tend to be lower for shared borrowers who have loans from multiple banks - Confirmed similarly lower coverage ratios for prefecture-wise cross-border loans - Suggested that models predicting downgrades from "borrowers requiring caution or better" to "borrowers requiring management or worse" can function with relatively high accuracy even when using only financial information ### Fact-finding on Credit Guarantee System Usage - Analyzed determinants of credit guarantee usage using machine learning approaches with loan data from the common data platform - Sales revenue and equity ratio have relatively large impacts on credit guarantee usage, with borrowers having higher values for these indicators tending not to use credit guarantees - Found significant differences in credit guarantee usage trends depending on whether there is excess debt - Confirmed differences in credit guarantee usage trends across industries - This analysis aims to understand usage patterns rather than evaluate the appropriateness of credit guarantee usage ### Initiatives for Advanced Data Utilization - Strengthening data utilization in financial supervision and policy formulation is positioned as a medium- to long-term challenge - The FSA will continue to promote the development of data analysis capabilities and data infrastructure - Aims to accurately grasp the resilience and vulnerabilities of the entire financial system through analysis using granular data The article demonstrates that the FSA is promoting data-driven financial administration and strengthening efforts to more precisely understand the management conditions of individual financial institutions and risks in the entire financial system.

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The English version of "FSA Analytical Notes (2025.6) vol.2" published by the Financial Services Agency on June 17, 2025, contains two analyses: an analysis of regional banks' credit risk management practices and a study on the actual usage of credit guarantee systems.

Key Points

Analysis of Regional Banks' Credit Risk Management Practices

  • Conducted verification of credit risk mitigation (loan coverage) and rating transition prediction models using loan data collected through the common data platform
  • Found that collateral coverage ratios tend to be lower for shared borrowers who have loans from multiple banks
  • Confirmed similarly lower coverage ratios for prefecture-wise cross-border loans
  • Suggested that models predicting downgrades from "borrowers requiring caution or better" to "borrowers requiring management or worse" can function with relatively high accuracy even when using only financial information

Fact-finding on Credit Guarantee System Usage

  • Analyzed determinants of credit guarantee usage using machine learning approaches with loan data from the common data platform
  • Sales revenue and equity ratio have relatively large impacts on credit guarantee usage, with borrowers having higher values for these indicators tending not to use credit guarantees
  • Found significant differences in credit guarantee usage trends depending on whether there is excess debt
  • Confirmed differences in credit guarantee usage trends across industries
  • This analysis aims to understand usage patterns rather than evaluate the appropriateness of credit guarantee usage

Initiatives for Advanced Data Utilization

  • Strengthening data utilization in financial supervision and policy formulation is positioned as a medium- to long-term challenge
  • The FSA will continue to promote the development of data analysis capabilities and data infrastructure
  • Aims to accurately grasp the resilience and vulnerabilities of the entire financial system through analysis using granular data

The article demonstrates that the FSA is promoting data-driven financial administration and strengthening efforts to more precisely understand the management conditions of individual financial institutions and risks in the entire financial system.

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