• 제목/요약/키워드: VaR methodology

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VaR개념을 응용한 건설공사 위험허용도 산정방법 (The construction project's risk threshold calculation methodology applying a concept of VaR)

  • 김선규;김재준;김경래
    • 한국건설관리학회:학술대회논문집
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    • 한국건설관리학회 2001년도 학술대회지
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    • pp.65-72
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    • 2001
  • 최근 들어 건설환경이 더욱 복잡해지고 경쟁이 치열해짐에 따라 위험관리의 중요성이 더욱 부각되고 있다. 그러나 건설공사에 적용되는 대부분의 위험관리 기법들이 사업초기단계에서 위험분석에 집중되어 있어, 건설과정에서 공정관리, 원가관리 또는 품질관리처럼 일상적인 관리기법으로 개발되어 있지 않다. 본 논문에서는 건설공사에서 위험관리를 일상적인 관리기법으로 적용하기 위하여 위험허용도 중심의 위험대응 프로세스를 제안하고, VaR개념을 응용한 위험허용도 산정방법을 제시하고자 한다.

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평균-VaR 기준과 최적 포트폴리오 선택 (The Mean-VaR Framework and the Optimal Portfolio Choice)

  • 구본일;엄영호;추연욱
    • 재무관리연구
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    • 제26권1호
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    • pp.165-188
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    • 2009
  • 본 연구는 개별 자산의 수익률 분포에 대한 가정 없이 평균-VaR 기준에서의 프론티어 포트폴리오를 구하고, 수익률 분포의 고차 적률에 대한 투자자의 선호가 반영된 최적 포트폴리오를 선택하는 방법을 제시하였다. 프론티어 포트폴리오를 구하기 위해 수익률 분포에 대한 가정이 필요하지 않은 그리드와 랭크 방법을 제시하였고 최적 포트폴리오를 선택하기 위해 수익률 분포의 4차 적률까지 고려된 효용함수를 사용하였다. 제시한 방법론을 실제 자료에 적용해 보기위해 모건 스탠리에서 제공하는 선진국 지수, 개발도상국 지수, KOSPI 지수의 주별 수익률 자료를 사용하였다. 평균-VaR 기준과 평균-분산 기준에서의 프론티어 포트폴리오를 구하고 각 기준에서의 최적 포트폴리오를 선택해 서로 비교하였다. 표준편차의 차이뿐만 아니라 효용함수의 수준과 주별 기대수익률로 표현되는 확실성 등가의 차이를 살펴봄으로써 두 기준 간의 경제적 의미 차이에 대해서도 살펴보았다. 또한 부트스트래핑을 이용한 역사적 시뮬레이션의 방법을 사용해 두 기준 간 발생한 차이가 통계적으로 유의한 지를 본 연구에서 적용한 자료에서는 평균-VaR 기준의 투자자가 평균-분산 기준의 투자자에 비해 더 큰 표준편차를 지닌 최적 포트폴리오를 선택하고 위험 회피도가 큰 투자자일수록 평균-VaR 기준에서의 효용이 크고 확실성 등가도 더 크게 나타나는 경향이 나타났다. 그러나 두 기준 간 발생한 차이가 통계적으로 유의하지 않게 나타나 표준편차의 차이와 경제적인 의미 차이가 크지 않다는 사실을 확인하였다.

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운영리스크 VaR 추정값의 안정성검증 방법 연구 (A Study on VaR Stability for Operational Risk Management)

  • 김현중;김우환;이상철;임종호;조상희;김아현
    • Communications for Statistical Applications and Methods
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    • 제15권5호
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    • pp.697-708
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    • 2008
  • 본 논문은 금융기관에서 활용하고 있는 운영리스크 측정모형에 대한 적합성검증 방법 중 안정성 검증에 관한 것이다. 신용리스크와는 달리 운영리스크는 손실자료의 특징, 과거 자료의 부족 그리고 적합성검증을 위한 이론적 도구의 부족 등으로 인해 현재 적절한 적합성검증 방안에 제시되지 못하고 있다. 본 논문에서는 운영리스크 VaR(Value at Risk) 추정값의 안정성을 평가하는 적합성검증 방법을 제시하고 이를 활용한 실증분석을 통해 제안된 방법에 대한 실제적 활용 가능성을 확인해 보고자 한다. 구체적으로 본 논문에서는 붓스트랩 방법을 활용하여 운영리스크 VaR의 신뢰구간을 생성함으로써 운영리스크 VaR 추정값의 안정성을 검증하는 기법을 제안하였으며, 이를 토대로 적합에 따른 운영리스크 VaR 추정값의 안정성을 측정하는 방안도 제시하였다.

An efficient algorithm to measure the insurance risk of casuality insurance company using VaR methodology

  • Ban, Joon-Hwa;Hwang, Hyun-Cheol;Ki, Ho-Sam
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • 제16권2호
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    • pp.137-149
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    • 2012
  • We propose an efficient method to measure the insurance risk of causality insurance companies by using the CreditRisk+ methodology. This method is superior to previous methods in several aspects. Its computation speed is very fast and the input data form is simple. It is able to aggregate both credit risk and insurance risk, so the insurance company can manage the risk in combined manner. In this paper, we propose a mathematical method to obtain the aggregate loss distribution of portfolios having correlation among products or business lines as a general case, and then suggest its implementation algorithm. Finally we apply this method to the real data from Korea Insurance Development Institute (KIDI) and discuss its availability to real applications.

Assessing the Contributions of Non-bank Financial Institutions (NBFI) and ELS Issuance to Systemic Risk in Korea

  • JONG SOO HONG
    • KDI Journal of Economic Policy
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    • 제46권1호
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    • pp.21-51
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    • 2024
  • Since the Global Financial Crisis of 2008-2009, the importance of nonbank financial institutions in macroprudential management has increased significantly. Consequently, major countries and international financial institutions have been actively discussing and implementing macroprudential supervision and regulation for non-bank financial institutions (NBFI). In this context, this paper analyzes the systemic risk of both banks and non-bank sectors (securities firms and insurance companies) in South Korea over different time periods. Using the widely recognized ΔCoVaR methodology for measuring systemic risk, the analysis reveals that systemic risk increased substantially across all three sectors (banks, securities firms, and insurance companies) during the Global Financial Crisis, the European Sovereign Debt Crisis, and the COVID-19 pandemic. Although the banking sector exhibited relatively high systemic risk compared to the securities and insurance sectors, the relative differences in systemic risk varied across the different crisis periods. Notably, during the margin call crisis in March of 2020, the gap in systemic risk between the banking and securities sectors decreased significantly compared to that during both the Global Financial Crisis and the European Sovereign Debt Crisis, indicating that securities firms had a more substantial impact on risk in the overall financial system during this period. Furthermore, I analyze the impact of the issuance of equity-linked securities (ELS) by financial institutions on systemic risk, as measured by ΔCoVaR, finding that an increase in the outstanding balance of ELS issuance by financial institutions had an impact on increasing ΔCoVaR during the three crisis periods. These findings underscore the growing importance of non-bank financial institutions in relation to South Korea's macroprudential management and supervision. To address this evolving landscape, enhanced monitoring and regulatory measures focusing on non-bank systemic risk are essential components of maintaining financial stability in the country.

매도후임대의 리스크 대비 성과의 비교분석: 선박투자회사 출자 및 선박 인수 사례를 중심으로 (A Comparative Analysis of Risk-to-Performance of Sale and Lease Back: Based on the cases of ship investment company investment and ship acquisition)

  • 장욱
    • 아태비즈니스연구
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    • 제12권1호
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    • pp.135-149
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    • 2021
  • Purpose - I analyzes risk-to-performance evaluated in the market using data from sale and lease back. Specifically, I analyze from the perspective of financial institutions that purchase sale and lease back based on the cases of investment by ship investment companies and acquisition of ships. Design/methodology/approach - I use 49 sale and lease back data from 2017 to 2019 for empirical analysis. Findings - The main results of this paper are as follows. First, after sale and lease back of domestic ships, the average amount of sales by the leased shipping company is 25.1 billion won, the average amount of investment by the purchased financial institution is 14.6 billion won (60%) and the average length of the ship is nine years. In ship finance, sale and lease back is deemed to be appropriately used as a means of restructuring for a large amount of money. Second, the main risk factor for sale and lease back of domestic ships is credit risk and can be measured in VaR in practice. As a result of the empirical analysis, the average credit risk burden ratio is 9%. As a major risk factor, low creditworthiness of restructuring companies is the key. Third, as a result of measuring the profitability of financial institutions that purchase sale and lease back of domestic ships at a net current price, it has an average value of 300 million won, but the deviation by case is very large. Fourth, the risk adjusted performance of sale and lease back of domestic ships is 0.54 on average compared to the total risk capital, and 0.52 compared to the stock-risk capital, and as with profitability earlier, the deviation of each case is very large and misaligned. In order to boost the sale and lease back market for large and long-term assets, in order to overcome low profitability as a prerequisite for future participation of commercial purchased financial institutions, it is expected that purchase decisions based on expectations versus risk will be necessary. Research implications or Originality - The results of this paper are expected to broaden the understanding of sale and lease back and foster the ability to assess long-term risk and performance. Based on this, it is believed that rapid restructuring of companies through sale and lease back of large amounts of long-term assets will greatly increase the utility of the domestic financial market.