본문 바로가기
KERD
논문KCI 등재

Evaluation of Target Deposit Insurance Fund Based on Credit Migration Approach for the Non-Life Insurance Sector in Korea

0

조회

0

다운로드

0

인용

0

참고문헌

키워드

초록

Purpose: In the case of non-life insurance business, the rate for the accumulation of fund in non-life insurance has fallen every year, making it difficult to reach the target fund level. Thus, we evaluate the appropriate target fund level for non-life insurers. Design/methodology/approach: The portfolio of the deposit insurer was constructed for 21 non-life insurers which were licensed non-life insurance businesses under the Insurance Business Act 4 (1) in Korea. We attempt to analyze the default probability using the Credit Migration method rather than the Merton. We derive the joint distribution for change in credit ratings and a loss distribution of the deposit insurer in non-life insurance sector by performing the Monte-Carlo simulation. The average value of the worst loss with a 0.5% probability in the loss distribution, TVaR99.5%, was adopted as an appropriate target fund level. Findings: The value of TVaR99.5% in this study was between 67 billion won and 2.434 trillion won. This amount of money is from 4.71% to 171.71% of the current deposit insurance fund for non-life insurers, and from 4.06% to 147.52% of the target fund level for non-life insurers. However, if a rather extremely conservative case that reflects the loss of deposit insurance funds due to the bankruptcy of up to 7 insurers among non-life insurers that consists of the portfolio is excluded, the distribution of the TVaR99.5% was between 67 billion won and 402 billion won. This money is from 4.71% to 28.28% of the current deposit insurance fund, and from 4.06% to 24.37% of the target fund level for non-life insurers. These results indicate that additional funding is unnecessary because the current level of deposit insurance funds will sufficiently cover future losses. Research limitations/implications: The limitation of this study is to evaluate the deposit fund under the RBC system, since it is controversial whether the RBC system adequately reflects the risk of non-life insurers. The risk of minimum guaranteed interest rate, catastrophe risk and liquidity risk are needed to be considered through further study. In particular, comparing the loss distribution for individual insurers under Solvency II and the RBC system is a future task of research. Originality/value: This study contributes to the evaluation of the target deposit insurance fund for non-life insurers by applying the credit migration method unlike the existing studies. This attempt is meaningful in that it provides an objective and practically easy-to-use alternative to the market participants such as the deposit insurer and non-life insurers.

Abstract

Purpose: In the case of non-life insurance business, the rate for the accumulation of fund in non-life insurance has fallen every year, making it difficult to reach the target fund level. Thus, we evaluate the appropriate target fund level for non-life insurers. Design/methodology/approach: The portfolio of the deposit insurer was constructed for 21 non-life insurers which were licensed non-life insurance businesses under the Insurance Business Act 4 (1) in Korea. We attempt to analyze the default probability using the Credit Migration method rather than the Merton. We derive the joint distribution for change in credit ratings and a loss distribution of the deposit insurer in non-life insurance sector by performing the Monte-Carlo simulation. The average value of the worst loss with a 0.5% probability in the loss distribution, TVaR99.5%, was adopted as an appropriate target fund level. Findings: The value of TVaR99.5% in this study was between 67 billion won and 2.434 trillion won. This amount of money is from 4.71% to 171.71% of the current deposit insurance fund for non-life insurers, and from 4.06% to 147.52% of the target fund level for non-life insurers. However, if a rather extremely conservative case that reflects the loss of deposit insurance funds due to the bankruptcy of up to 7 insurers among non-life insurers that consists of the portfolio is excluded, the distribution of the TVaR99.5% was between 67 billion won and 402 billion won. This money is from 4.71% to 28.28% of the current deposit insurance fund, and from 4.06% to 24.37% of the target fund level for non-life insurers. These results indicate that additional funding is unnecessary because the current level of deposit insurance funds will sufficiently cover future losses. Research limitations/implications: The limitation of this study is to evaluate the deposit fund under the RBC system, since it is controversial whether the RBC system adequately reflects the risk of non-life insurers. The risk of minimum guaranteed interest rate, catastrophe risk and liquidity risk are needed to be considered through further study. In particular, comparing the loss distribution for individual insurers under Solvency II and the RBC system is a future task of research. Originality/value: This study contributes to the evaluation of the target deposit insurance fund for non-life insurers by applying the credit migration method unlike the existing studies. This attempt is meaningful in that it provides an objective and practically easy-to-use alternative to the market participants such as the deposit insurer and non-life insurers.

참고문헌 (19)

  1. Altman, E. I., "Rating drift in high-yield bonds", The Journal of Fixed Income, 1(4), pp.15~20 (1992)
  2. Bangia, A., "Ratings migration and the business cycle, with application to credit portfolio stress testing", Journal of banking & finance, 26(2-3), pp.445~474 (2002)
  3. Bharath, S. T., "Forecasting default with the KMV-Merton model", AFA 2006 Boston Meetings Paper (2004)
  4. 전선애, "금융업권간 상호연계성 및 부실전이위험과 예금보험기금 체계에 관한 연구", 금융안정연구, 19(2), pp.157~201 (2018), 예금보험공사[DOI]
  5. "CreditMetricsTM"[URL]
  6. Diamond, D. W., "Bank runs, deposit insurance, and liquidity", Journal of political economy, 91(3), pp.401~419 (1983)
  7. Helwege, J., "The slope of the credit yield curve for speculative-grade issuers", The Journal of Finance, 54(5), pp.1869~1884 (1999)
  8. 정완호, "주식 및 채권시장에 반영된 기업 信用危險 분석에 관한 연구", 한국경제의 분석, 8(2), pp.61~107 (2002), 한국경제의 분석패널
  9. The evaluations for default prediction model of Merton using reduced model, "Kim, J.", ~ (2009)
  10. 김범, "Estimating KDIC Target Guaranty Fund for Non-life Insurers*", 보험학회지, (82), pp.179~212 (2009), 한국보험학회
  11. 이인로, "회계정보와 시장정보를 이용한 부도예측모형의 평가 연구", 재무연구, 28(4), pp.625~665 (2015), 한국재무학회
  12. 이진호, "시나리오 분석을 활용한 예금보험기금 상호저축은행 구조조정 특별계정의 부채 추정에 관한 연구", Financial Planning Review, 12(4), pp.29~47 (2019), 한국FP학회[DOI]
  13. Merton, R. C., "On the pricing of corporate debt : The risk structure of interest rates", The Journal of finance, 29(2), pp.449~470 (1974)
  14. Determining the target deposit insurance fund: practical approaches for data-poor deposit insurers, "O'Keefe, J. P.", FDIC Center for Financial Research, ~, pp.FDIC Center for Financial Research Paper, (2017-04) (2017)
  15. Favour O. Olarewaju, "Extended Market Drivers of CIP Deviations In Korea’s Cross-Currency Swap Markets", 재무연구, 33(4), pp.541~580 (2020), 한국재무학회[DOI]
  16. Schaeffer, L., "Making Covariance Matrices Positive Definite", Centre for Genetic Improvement of Livestock Department of Animal & Poultry Science University of Guelph, 1~2 (2014)
  17. Schuermann, T., "Credit migration matrices", Wiley StatsRef: Statistics Reference Online, ~ (2014)
  18. Tsaig, Y., "Analyzing the impact of credit migration in a portfolio setting", Journal of Banking & Finance, 35(12), pp.3145~3157 (2011)
  19. 원재환, "기업의 부채구조를 고려한 옵션형 기업부도예측모형과 신용리스크", 재무관리연구, 23(2), pp.209~237 (2006), 한국재무관리학회

관련 논문AI추천

이 간행물의 다른 논문 (6건)