{"id":689781,"date":"2022-09-28T09:12:01","date_gmt":"2022-09-28T13:12:01","guid":{"rendered":"https:\/\/www.marketnewsdesk.com\/index.php\/global-average-annual-insured-losses-from-extreme-events-in-excess-of-120-billion-new-report-from-verisk-finds\/"},"modified":"2022-09-28T09:12:01","modified_gmt":"2022-09-28T13:12:01","slug":"global-average-annual-insured-losses-from-extreme-events-in-excess-of-120-billion-new-report-from-verisk-finds","status":"publish","type":"post","link":"https:\/\/www.marketnewsdesk.com\/index.php\/global-average-annual-insured-losses-from-extreme-events-in-excess-of-120-billion-new-report-from-verisk-finds\/","title":{"rendered":"Global Average Annual Insured Losses from Extreme Events in Excess of $120 Billion, New Report from Verisk Finds"},"content":{"rendered":"

\nAnalysis highlights key factors that contribute to increase in insured losses: the number and value of properties exposed to risk, natural variability when losses occur, climate change, and man-made loss drivers
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BOSTON, Sept. 28, 2022 (GLOBE NEWSWIRE) — Today, Verisk Extreme Event Solutions released its 2022 Global Modeled Catastrophe Losses Repor<\/a>t detailing key global financial loss metrics based on its latest suite of catastrophe models. Verisk (Nasdaq:VRSK) estimates that on an annual average basis, catastrophes around the world are expected to cause about $123 billion in insured losses compared to an average of $74 billion in actual losses over the past 10 years. This risk profile is assessed using Verisk\u2019s global suite of models, which generate an industry exceedance probability (EP) curve that helps put years with high insured losses \u2013 like 2011 and 2017 – into context.\u00a0<\/p>\n<\/p>\n

\u201cThe most significant factor driving increased catastrophe losses over the past few years is the rise in exposure values and replacement costs,\u201d said Bill Churney, president of Verisk Extreme Event Solutions. \u201cBoth are represented by continued construction in high-hazard areas as well as high levels of inflation that are driving up repair and rebuild costs. For this reason, it\u2019s important for insurers to regularly reassess their exposures, particularly in the most vulnerable urban and coastal areas. Updating the property replacement values used in catastrophe modeling and other processes helps to ensure a more informed view of risk.\u201d\u00a0<\/p>\n<\/p>\n

It is also important to consider the uncertainty and natural variability associated with global catastrophe losses. The current 5-year actual loss period has immediately followed a 10-year period of lower levels of loss highlighted by fewer loss-causing hurricanes in the Atlantic basin. Far larger years of insured losses can and will likely occur in today\u2019s climatic conditions, and while climate change is contributing to increased catastrophe losses, it is to a lesser degree than the growth in the number and value of exposed properties.\u00a0\u00a0\u00a0<\/p>\n

Verisk\u2019s models estimate a more than 40% chance of experiencing a 5-year average loss in excess of $100B, meaning the last 5 years should not be viewed as out of the ordinary. Also, Verisk\u2019s models show at least a 50% chance of experiencing a single year in the next decade with insured losses in excess of $200B.\u00a0\u00a0\u00a0<\/p>\n<\/p>\n

\u201cAll catastrophes can contribute to losses, whether they are a single major event, an aggregation of smaller ones, or a combination of the two. As demonstrated by this report, Verisk models are effectively capturing the scale of recent losses, but also indicate that years of more extreme losses are possible,\u201d said Dr. Jayanta Guin, executive vice president and chief research officer of Verisk Extreme Event Solutions. \u201cWe continue to invest in catastrophe models that provide a global and comprehensive view of the complex nature of risk today and of the near-present climate.\u201d\u00a0<\/p>\n<\/p>\n

The 2022 edition of the Global Modeled Catastrophe Losses report bases its global loss metrics on Verisk\u2019s latest suite of catastrophe models, including updates released during 2022 and updated industry exposure databases (IEDs) around the world.\u00a0\u00a0<\/p>\n<\/p>\n

Download the 202<\/i>2<\/i>Global Modeled Catas<\/i>trophe Losses<\/i> report here: https:\/\/bit.ly\/<\/u><\/b>GlobalEP202<\/u><\/b>2<\/u><\/b><\/a>\u00a0<\/p>\n

\n About Extreme Event Solutions at Verisk\u00a0<\/b>\u00a0<\/p>\n

Extreme event solutions at Verisk (AIR Worldwide) provides risk modeling solutions that help individuals, businesses, and society become more resilient to extreme events. In 1987, Verisk founded the catastrophe modeling industry and today models the risk from natural catastrophes, supply chain disruptions, terrorism, pandemics, and casualty catastrophes. Insurance, reinsurance, financial, corporate, and government clients rely on Verisk\u2019s advanced science, software, and consulting services for catastrophe risk management, insurance-linked securities, longevity modeling, site-specific engineering analyses, and agricultural risk management. Verisk\u2019s extreme event solutions team is headquartered in Boston, with additional offices in North America, Europe, and Asia. For more information, please visit www.air-worldwide.com<\/a>. For more information about Verisk, a leading data analytics provider serving customers in insurance, energy and specialized markets, and financial services, please visit www.verisk.com<\/u><\/a>. <\/p>\n<\/p>\n


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Mary Keller \r\nVerisk Extreme Event Solutions \r\n617-267-6645 \r\nMary.Keller@verisk.com \r\n\r\n <\/pre>\n<\/p><\/div>\n","protected":false},"excerpt":{"rendered":"
Analysis highlights key factors that contribute to increase in insured losses: the number and value of properties exposed to risk, natural variability when losses occur, climate change, and man-made loss drivers BOSTON, Sept. 28, 2022 (GLOBE NEWSWIRE) — Today, Verisk Extreme Event Solutions released its 2022 Global Modeled Catastrophe Losses Report detailing key global financial loss metrics based on its latest suite of catastrophe models. Verisk (Nasdaq:VRSK) estimates that on an annual average basis, catastrophes around the world are expected to cause about $123 billion in insured losses compared to an average of $74 billion in actual losses over the past 10 years. This risk profile is assessed using Verisk\u2019s global suite of models, which generate an industry exceedance probability … <\/p>\n
Continue reading “Global Average Annual Insured Losses from Extreme Events in Excess of $120 Billion, New Report from Verisk Finds”<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-689781","post","type-post","status-publish","format-standard","hentry"],"yoast_head":"\nGlobal Average Annual Insured Losses from Extreme Events in Excess of $120 Billion, New Report from Verisk Finds - Market Newsdesk<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.marketnewsdesk.com\/index.php\/global-average-annual-insured-losses-from-extreme-events-in-excess-of-120-billion-new-report-from-verisk-finds\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Global Average Annual Insured Losses from Extreme Events in Excess of $120 Billion, New Report from Verisk Finds - Market Newsdesk\" \/>\n<meta property=\"og:description\" content=\"Analysis highlights key factors that contribute to increase in insured losses: the number and value of properties exposed to risk, natural variability when losses occur, climate change, and man-made loss drivers BOSTON, Sept. 28, 2022 (GLOBE NEWSWIRE) — Today, Verisk Extreme Event Solutions released its 2022 Global Modeled Catastrophe Losses Report detailing key global financial loss metrics based on its latest suite of catastrophe models. 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