2010年-世界发展银行全球_The_Caribbean_Catastrophe_Risk_Insurance_Initiative___A_Review_of_CCRIFs_Operation_After_Its_Second_Season_83页_4mb
报告摘要
Summary of CCRIF's Second Season (2008-2009)
Core Content
The Caribbean Catastrophe Risk Insurance Facility (CCRIF) is a pioneering, independent, non-profit legal entity established in 2007 in the Cayman Islands. It aims to provide rapid liquidity to Caribbean Community (CARICOM) members in the event of major hurricanes or earthquakes that exceed pre-agreed impact thresholds. This report reviews CCRIF's second season of operations, from June 1, 2008, to May 31, 2009, highlighting its achievements, challenges, and recommendations for future development.
Main Points
Objectives and Structure
- CCRIF is a joint reserve mechanism that pools catastrophe risks to offer parametric insurance to CARICOM members.
- It is controlled by a five-person Board of Directors, comprising:
- A CARICOM representative
- A donor representative
- A financial expert
- An insurance technical expert
- An Executive Chairman
Operations and Performance
- CCRIF's second year was highly successful, with all 16 participating countries and territories renewing their policies.
- A total of $21.8 million in premiums was collected during the 2008-2009 season.
- CCRIF made a single payout of $6.3 million to the Turks and Caicos Islands following Hurricane Ike in September 2008.
- The facility's reserves continued to grow, which allowed for lower premium rates and wider coverage for members.
- CCRIF's financial stability was reinforced by contributions from the Multi-Donor Trust Fund (MDTF), which received approximately $67.4 million from various donors, including the World Bank, Bermuda, Canada, France, and others.
Risk Management and Models
- CCRIF uses catastrophe risk models to determine payouts based on hazard parameters, exposure values, vulnerability functions, damage ratios, and loss distribution.
- These models help in rapid claims settlement without the need for on-site inspections.
- The second-generation loss model was developed to improve accuracy and efficiency in risk assessment.
- Risk pooling significantly reduces the cost of coverage for members, as illustrated by Figure 2.4, which shows that the CCRIF aggregate limit is 74% lower than the sum of individual policy limits.
Policy Terms and Conditions
- Policies are tailored to member needs, allowing them to choose coverage for hurricanes, earthquakes, or both.
- Members determine:
- Attachment point (the threshold for a payout, based on event severity and frequency)
- Exhaustion point (the maximum severity for which a payout is triggered)
- Coverage limit (the maximum payout amount)
- The payouts are calculated based on wind speed, distance from the storm's eye, and the chosen parameters.
Key Financial and Operational Features
- CCRIF's liquidity is competitively priced, reflecting its mutual insurance model and not-for-profit status.
- The premium rate was reduced by 10% from the first to the second season.
- CCRIF's reserves are used to smooth reinsurance costs and reduce dependency on traditional reinsurance markets.
- The investment strategy is designed to match asset and liability maturities and increase returns by investing in less liquid assets.
Challenges and Recommendations
Challenges
- Board transition is a key challenge, as recommended following the first year's review.
- Maintaining financial stability while balancing premium rates and coverage scope is crucial.
- Transparency remains a concern, especially regarding the governance structure, risk models, and policy terms.
- Basis risk (the risk that actual losses may differ from modeled losses) is inherent in CCRIF's parametric insurance approach.
Recommendations
- Governance: Complete the Board transition to reflect CCRIF's Trust Deed, strengthening its Caribbean identity.
- Member Engagement: Enhance communication with ministries of finance, disaster risk management agencies, and meteorological institutes to explain policy terms, model functions, and coverage limits.
- Transparency: Publish key operational and R&D strategies, reserve accumulation, and premium stability factors for member consultation.
- Independent Audits: Conduct periodic actuarial opinions and technical audits of the loss model and new products to enhance Board oversight and market confidence.
- Reinsurance and Pricing: Consider increasing risk retention or further reducing premium rates based on reserves and risk management strategies.
- Investment Strategy: Adjust investment practices to optimize returns and align with liabilities.
- Innovation: Develop educational materials for stakeholders to explain the first- and second-generation loss models and the excess rainfall coverage. Expand collaboration with research institutions for new product development.
Key Information
- Established in 2007 in response to the 2004 Hurricane Ivan and earthquake impacts on Grenada and the Cayman Islands.
- Payouts are based on parametric triggers, not actual loss assessments, ensuring speed and reliability.
- Coverage is capped at 50% of estimated direct losses above a deductible.
- Reserves are built through donor contributions and member premiums, enabling financial stability and lower premiums.
- Payout examples are illustrated in Table 2.6, showing how wind speed and storm proximity influence the amount paid.
- Strategic Plan for 2009–2012 was approved in February 2009.
- CCRIF is working to expand coverage to include excess rainfall and CARILEC members (Caribbean electrical utility companies).
- The World Bank manages the MDTF, which supports operational costs, reinsurance, and insurance payouts.
Conclusion
CCRIF has demonstrated strong performance in its second season, with successful policy renewals, financial growth, and effective risk management. It continues to innovate and improve its modeling capabilities, coverage options, and governance structure. However, it must address challenges related to board transition, transparency, and financial balance to ensure long-term sustainability and broader adoption of its ex ante disaster risk financing model.
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