Spatial dependence and diversification of climate extremes for global (re)insurance

全球（再）保险的极端气候的空间依赖性和多样化

• 批准号: RGPIN-2021-03362
• 负责人: Boudreault, Mathieu
• 金额: $ 1.97万
• 依托单位: Université du Québec à Montréal
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=759311
• 关键词: Spatial; dependence; diversification; climate; extremes

Insurance is a typical risk transfer mechanism where one pays a predetermined premium in exchange for risk protection. "The contribution of the many to the misfortune of the few" was Lloyd's of London's motto upon its foundation in 1668. This old saying illustrates that insurance works on diversification, either among policyholders or lines of business, which in turn guarantees financial stability and long-term viability. Climate extremes such as floods and hurricanes, however put a significant strain on the financial stability of insurers. This is because of the systemic nature (or wide spatial extent) of these disasters that generate rare but tremendous losses. Losses from climate extremes are typically shared with governments and homeowners or in large part transferred to the international reinsurance industry. Reinsurance is also a risk transfer mechanism but insurers (and other organizations) pay premiums for protection instead. Global by nature, reinsurance counts on international portfolios to stabilize large claims from risks such as climate extremes. But at such level, international (re)insurance portfolios may be affected by global climate phenomena such as El Niño / Southern Oscillation (ENSO) or other regional climate influences. For example, it is well-known in climate science that ENSO affects flood and hurricane occurrences simultaneously around the world, even if such locations are thousands of kilometers apart. The aim of the research proposal is to provide mathematical representations of how climate extremes may occur at various locations globally (spatial dependence) and their effects on a large (inter)national (re)insurance portfolio (spatial diversification). The study of global diversification of climate extremes, which is at the boundary of actuarial and climate sciences, is challenging because it requires an understanding of local and global dynamics of these events. Being high-dimensional by nature, I thus seek to exploit our physical understanding of these natural phenomena, to create more realistic models and financial risk management approaches that in turn advance both actuarial and climate sciences. Insurance, either private and/or public, is a key component of the disaster recovery process. Access to affordable insurance is essential to reduce protection gaps and mitigate climate inequalities generally affecting vulnerable populations more severely. International reinsurance provides an easy mean to benefit from global diversification which in turn assures the long-term viability of the Canadian insurance industry while also reducing the needs for taxpayers to constantly compensate for losses from disaster financial assistance programs. This research proposal thus provides the mathematical tools for actuaries, economists and financial analysts to design public and/or private (re)insurance programs for climate extremes that are sustainable in the future in the face of climate change.

保险是一种典型的风险转移机制，人们通过支付预定的保费来换取风险保障，这是伦敦劳合社于 1668 年成立时的座右铭。这句老话说明了保险是有效的。保单持有人或业务领域的多元化，这反过来又保证了金融稳定和长期生存能力，但洪水和飓风等极端气候却给金融稳定带来了巨大压力。这是因为这些灾害的系统性（或广泛的空间范围）造成了罕见但巨大的损失，这些损失通常由政府和房主共同承担，或者大部分也转移到了国际再保险业。本质上，再保险依靠国际投资组合来稳定极端气候等风险的巨额索赔。可能会受到厄尔尼诺/南方涛动 (ENSO) 等全球气候现象或其他区域气候影响的影响。例如，众所周知，ENSO 会同时影响世界各地的洪水和飓风，即使这些地点是在不同地点。数学研究提案的目的是提供全球不同地点如何发生极端气候（空间依赖性）及其对大型（国际）国家（再）保险组合（空间依赖性）的影响。对气候极端事件的全球多样化的研究处于精算和气候科学的边界，具有挑战性，因为它需要了解这些事件的局部和全球动态，因此我寻求。利用我们对这些自然现象的物理理解，创建更现实的模型和金融风险管理方法，从而推动精算和气候科学的发展，无论是私人的还是公共的，都是灾难恢复过程的关键组成部分。负担得起的保险至关重要缩小保护差距并减轻普遍影响弱势群体的气候不平等现象国际再保险提供了一种从全球多元化中受益的简单方法，这反过来又确保了加拿大保险业的长期生存能力，同时也减少了纳税人不断补偿的需求。因此，本研究提案为精算师、经济学家和金融分析师提供了数学工具，以设计针对未来面对气候变化可持续的极端气候的公共和/或私人（再）保险计划。