[Vol.32 No.2] Forcasting Household and Corporate Loan Delinquency Rates in the Banking Sector and Crisis Scenario Analysis

구분
Finance·Bank
등록일
2026.06.30
조회수
9312
키워드
Financial Stability Macroprudential Policy Large Bayesian VAR Density Forecast
등록자
Eutteum Park, Kyu Ho Kang
담당부서
Research Planning & Coordination Team(02-759-5488)

Author: Eutteum Park(Bank of Korea), Kyu Ho Kang(Korea Univ.)


This study develops a Large Bayesian VAR (LBVAR) model with 22 macro-financial variables to forecast household and corporate loan delinquency rates in the Korean banking sector and assess related upside risks. Using quarterly data from 2010Q1 to 2025Q4 and an expanding-window out-of-sample evaluation, the LBVAR outperforms the random-walk benchmark across forecast horizons. The estimates indicate that delinquency rates are positively related to lagged borrowing-cost variables, including interest rates and inflation, while real activity indicators and housing prices show negative contemporaneous correlations. Density forecasts suggest a moderate rise in household and corporate delinquency rates to about 0.41% and 0.68%, respectively, with the upper bound of the 90% credible interval indicating persistent upside risk. Stress-scenario results reveal sector-specific vulnerabilities: corporate loans are more sensitive to a housing-market downturn, whereas household loans respond more strongly to an external shock. The high-inflation and high-interest-rate scenario produces only limited additional risk in both sectors. These findings provide empirical support for macroprudential risk monitoring and preemptive policy responses.

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