Front Matter Page
IMF Country Report No. 20/279
REPUBLIC OF KOREA
FINANCIAL SECTOR ASSESSMENT PROGRAM
TECHNICAL NOTE—SYSTEMIC RISK ANALYSIS, FINANCIAL SECTOR STRESS TESTING, AND AN ASSESSMENT OF DEMOGRAPHIC SHIFT IN KOREA
September 2020
This Technical Note on Systemic Risk Analysis, Financial Sector Stress Testing, and an Assessment of Demographic Shift in Korea for the Republic of Korea FSAP was prepared by a staff team of the International Monetary Fund as background documentation for the periodic consultation with the member country. It is based on the information available at the time it was completed in September 2020.
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Front Matter Page
REPUBLIC OF KOREA
FINANCIAL SECTOR ASSESSMENT PROGRAM
TECHNICAL NOTE
SYSTEMIC RISK ANALYSIS, FINANCIAL SECTOR STRESS TESTING, AND AN ASSESSMENT OF DEMOGRAPHIC SHIFT IN KOREA
September 1, 2020
The content of this Technical Note is based on information available as of end-June/December 2019, before the global intensification of the COVID-19 outbreak. It focuses on the Republic of Korea’s medium-term challenges and policy priorities and does not cover the outbreak or the related policy response, which has since become the overarching near-term priority.
Prepared By
Monetary and Capital Markets Department
This Technical Note was prepared in the context of an IMF Financial Sector Assessment Program (FSAP) in the Republic of Korea in August 2019 and December 2019 that was led by Udaibir Das. Further information on the FSAP can be found at http://www.imf.org/external/np/fsap/fssa.aspx
Contents
Glossary
EXECUTIVE SUMMARY
MACRO-FINANCIAL ENVIRONMENT, SYSTEM STRUCTURE, AND SCOPE OF THE SYSTEMIC RISK ANALYSIS
A. Financial System Structure and Trends
B. Macro-Financial Environment
C. Korean Housing Market Structure and Dynamics
D. Scope of the Systemic Risk Analysis
RISKS, VULNERABILITIES, AND MACRO-FINANCIAL SCENARIOS
A Risks, Vulnerabilities, and Macro-Financial Scenarios
B. Fintech Developments in Korea
FORWARD-LOOKING BANK SOLVENCY ANALYSIS
A. Methodology
B. Results
C. Recommendations
FORWARD-LOOKING BANK LIQUIDITY ANALYSIS
A. Overview
B. Current Liquidity Conditions and Banks’ Liquidity Profiles
C. Methodology
D. Results
E. Recommendations
RISK ANALYSIS FOR THE INSURANCE AND PENSION FUND SECTOR
A. Insurance Sector
B. Pension Fund Sector
C. Recommendations
NETWORK AND CONTAGION ANALYSIS
A. Analysis
B. Recommendations
DEMOGRAPHIC DEVELOPMENTS IN KOREA
BOXES
1. The Z-Score Methodology
2. Hybrid PD-Satellite-Z-factor Methodology and Dynamic Balance Sheets
3. Lifetime (LT-) ECL and Provision Stock and Flow Calculations
4. Fintech Overlay – Methodology
FIGURES
1. Financial System Structure
2. Depository Institutions’ Business Models
3. Structure of the Insurance Sector
4. Financial System Performance
5. Bank Profitability (Significant Institutions): Key Trends
6. Korean Banks’ Asset Portfolio Structure, Liability Structure, and P&L Components
7. Solvency and Profitability of the Insurance Sector
8. Macrofinancial Environment
9. Housing Market
10. Demographics Shift and Household Debt
11. Baseline and Adverse Macro-Financial Scenario
12. Baseline and Adverse Scenario Paths for Real GDP in Historical Perspective
13. Cumulative Real GDP Deviations (Adverse Relative to Baseline)
14. Implications of Open Banking and E-Money Developments in Korea
15. Dependencies Captured in Top-Down Solvency Model Suite for Korean Banks
16. P&L Structure and Model Approaches Adopted for the Korea Solvency Analysis
17. Credit Risk Module Structure
18. Baseline and Adverse Scenario-Conditional PDs
19. Perfect Foresight and Risk Parameter Behavior after Initial 5-Year Horizon
20. Baseline and Adverse Scenario-Conditional LGDs
21. Effective Interest Rates for ECL Discounting Purposes
22. Banks’ Historical Effective Interest Rate Evolution for Korean Banks
23. Nonlinear Solvency-to-Funding Cost Feedback for Korean Banks
24. Solvency Stress Test Results: CET1 Ratios, Sub-Sector Aggregates
25. Changes in CET1 Capital Ratios from Starting Point to Low Point Under the Adverse Scenario
26. Capital Depletion Under the Adverse Scenario
27. Asset Exposure Shares vs. Credit and Market Loss Shares Under the Adverse Scenario
28. Fintech Overlay—Impact on Banks’ Capitalization Under Conservative Assumptions
29. Fintech Overlay—Impact on NIMs
30. Solvency-Liquidity Cost Feedback
31. Capital Ratios’ Sensitivity to Stronger House Price Shock for Residential Mortgage Portfolios
32. Mortgage Insurance Shares Across Korean Banks
33. Impact on Accounting Provision Stocks, Flows, and Risk Weights when Assuming that Mortgage Insurance was Absent
34. Capital Ratio Differentials under Different Static and Dynamic Balance Sheet Variants (Adverse Scenario
35. Loan Loss Coverage as of End-2018, Regulatory Provision-based vs. Top-down Model based (Adverse Scenario)
36. Impact of Regulatory Loan Loss Coverage on Capital Ratios and Depletion
37. Sensitivity of Capital Ratios to RWA Pass-Through Strength under the Adverse Scenario
38. Liquidity and Stable Funding
39. Liquidity Stress Test
40. Insurance Stress Test Sample—Fixed-Income Portfolio
41. Insurance Stress Test—RBC Coverage
42. Insurance Stress Test—Contribution of Individual Shocks
43. Insurance Profitability Projections After Stress
44. The National Pension Fund
45. Financial System Network Structure
46. Sector-Level Default Simulation: Capital Depletion
47. Network Centrality (Eigenvector Centrality)
48. Demographic Developments Proportion of Population Ages 65+
49. Old Age Poverty Across OECD Countries
50. Channels through which Demographic Developments May Impact the Financial System
51. Korean Financial System’s Total Asset Dynamics
52. Scenarios for Population Growth and Dependency Ratios in Korea until 2067
53. Demographics Scenario-Conditional Total Asset Dynamics
TABLES
1. Main Recommendations
2. Financial System Structure
3. Core Financial Soundness Indicators, 2012–17
4. Selected Economic Indicators, 2017–24
5. Korean Banks In-Scope of the Systemic Risk Analysis and Stress Test
6. Insurance Firms Included in the Stress Test
7. Baseline and Adverse Macro-Financial Scenario—Main Features
8. Insurance Stress Test Scenario
APPENDICES
I. FSAP Risk Assessment Matrix (RAM)
II. Solvency and Liquidity Stress Test Matrices for Banks and Insurers (STeMs)
III. Liquidity Stress Test – Calibration Details
IV. Solvency Stress Test – Mapping MR and CR Methodology
V. Solvency Stress Test – Credit and Interest Income and Expense Models
Glossary
| AC |
Amortized Cost |
| AFC |
Asian Financial Crisis |
| BMA |
Bayesian Model Averaging |
| CC |
Consumer Credit |
| CCC |
Credit Community Cooperative |
| CCyB |
Countercyclical Capital Buffer |
| CR |
Credit Risk |
| CU |
Credit Union |
| DBS |
Dynamic Balance Sheet |
| D-SIB |
Domestic Systemically Important Institutions |
| EAD |
Exposure at Default |
| ECL |
Expected Credit Loss |
| EIR |
Effective Interest Rate |
| FVOCI |
Fair Value through other Comprehensive Income |
| FVPL |
Fair Value through P&L |
| GFC |
Global Financial Crisis |
| HF |
Korea Housing Finance Corporation |
| HM |
Household Mortgages |
| HUG |
Korea Housing & Urban Guarantee Corporation |
| IFRS |
International Financial Reporting Standard |
| KFS |
Korea Forest Service |
| IFRS |
International Financial Reporting Standard |
| IRB |
Internal Ratings-Based Approach (under Basel II/III) |
| LCR |
Liquidity Coverage Ratio |
| LGD |
Loss Given Default |
| LL |
Loan Loss |
| LRM |
Long-Run Multiplier |
| MoAFRA |
Ministry of Agriculture, Food and Rural Affairs |
| MoIS |
Ministry of the Interior and Safety |
| MoOaF |
Ministry of Oceans and Fisheries |
| MR |
Market Risk |
| MSB |
Mutual Savings Bank |
| MtM |
Mark-to-Market |
| NFD |
Non-Deliverable Forward |
| NFC |
Nonfinancial Corporate |
| NFCI |
Net Fee and Commission Income |
| NII |
Net Interest Income |
| NIM |
Net Interest Margin |
| NPS |
National Pension Service |
| NSFR |
Net Stable Funding Ratio |
| NTI |
Net Trading Income |
| OCI |
Other Comprehensive Income |
| ODIs |
Other Depository Institutions |
| OOE |
Other Operating Expense |
| PD |
Probability of Default |
| PiT |
Point-in-Time |
| P&L |
Profit and Loss |
| RBC |
Risk-Based Capital |
| RWA |
Risk-Weighted Assets |
| SBS |
Static Balance Sheet |
| SGI |
Seoul Guarantee Institution |
| SME |
Small and Medium-Sized Enterprise |
| SOV |
Sovereign |
| STA |
Standardized Approach (under Basel II/III) |
| TM |
Transition Matrix |
| TR |
Transition Rate |
| TTC |
Through-the-Cycle |
| WEO |
World Economic Outlook |