{"id":1869,"date":"2016-08-11T10:19:46","date_gmt":"2016-08-11T17:19:46","guid":{"rendered":""},"modified":"2023-07-19T10:59:18","modified_gmt":"2023-07-19T17:59:18","slug":"risk-modelling-in-insurance-a-comprehensive-solution-for-life-insurance-companies","status":"publish","type":"post","link":"https:\/\/cm-edgetun.pages.dev\/en-us\/industry\/blog\/financial-services\/2016\/08\/11\/risk-modelling-in-insurance-a-comprehensive-solution-for-life-insurance-companies\/","title":{"rendered":"Risk Modelling in Insurance: A comprehensive solution for life insurance companies"},"content":{"rendered":"

Trevor Howes of GGY told us how the company is delivering comprehensive capabilities to meet the complex needs of life insurance businesses.<\/em><\/p>\n

Life insurance businesses are operating in an environment of rapidly changing risks and economic parameters, with several key trends driving them towards more complex, resource-intensive measurement techniques. \u201cThe 2008 meltdown and rapid, volatile swings in stock markets and interest rates have hit insurance companies, and over the past 10-20 years their products have evolved quickly to compete for market share and save on costs,\u201d says Trevor Howes, vice president and actuary at GGY. \u201cAt the same time, regulators are taking sophisticated approaches in order to address new risks. For example, regulators in the US \u2013 GGY\u2019s biggest market of growth \u2013 are now looking at a principles based approach. Life insurers are having to move away from the formulaic approach to policy liability calculation that has served them for many years, and use more stochastic approaches. Instead of doing one calculation of a model they\u2019re having to do perhaps a thousand.\u201d<\/p>\n

That principles-based approach is only going to become more pervasive, says Howes. \u201cIt\u2019s being used in many places as a risk measurement technique \u2013 not just because the regulators require it, but because if you want to understand your risks and your pricing, you need to know the distribution and the cost of volatility.\u201d<\/p>\n

In addition, insurers face a need to review their assumptions constantly in relation to their latest experience. \u201cMany regulations now require life insurers to reset their assumptions on a regular basis,\u201d says Howes. \u201cThat means the assumptions have to apply down to a more detailed level of business, distinguishing between areas of policies, risk classes, places where policies are sold and small contractual differences. To achieve that, actuaries have to do a lot more work resetting those assumptions and changing their models, which have also become more granular. Whereas in the past companies might have taken averages and shortcuts to model on a segment of business, now they\u2019re more likely to want to do many of these calculations at the policy level.\u201d<\/p>\n

As life insurers face increasing demand for consistent, consolidated models, many are looking at how they can transform their actuarial systems. \u201cOrganizations in the US are realizing that they need to embark on actuarial transformation projects to reform their systems and make them more able to produce their results quickly,\u201d says Howes. \u201cThey can\u2019t waste so much time running numbers and getting their results ready once the books close off, so they need an automated close and the ability to test and stress test their models and get more information out of them.\u201d Established in 1989 and acquired by Moody\u2019s Analytics in 2016, GGY developed its AXIS high-performance actuarial software to meet the complex needs of life insurance businesses. \u201cWe developed the capability to do holistic financial modelling on both assets and liabilities, fully integrating all the risks, and to use that same software for multiple purposes to make actuaries more efficient,\u201d says Howes. \u201cThat has become increasingly important as new risk and reporting paradigms emerge around the world.<\/p>\n

\u201cAxis provides a fully holistic solution that can handle complex nests of stochastic financial projections using a multi-strategy approach to the distribution of tasks. Our GridLink distribution and pathway managing software enables intelligent changes in distribution patterns to take advantage of free resources and we have developed a capability to help customers spin up resources in the cloud, so we can automatically configure as many cores as the business needs within minutes.\u201d<\/p>\n

Those capabilities are enhanced by GGY\u2019s supportive service model. \u201cOur solution differs in several ways to the way the market has traditionally been served,\u201d says Howes. \u201cWe take away most of the need for companies to write their own code because we have made our software configurable without writing much code, and we provide full training and support.\u201d<\/p>\n

Howes notes a growing interest in the cloud as insurers recognize some of the potential advantages it holds. \u201cThe increasing demand for computation ability really crystallises at reporting dates, and cloud resources enable insurance businesses to handle that,\u201d he says. \u201cOne trend we\u2019re seeing is that insurers are bursting through to the cloud, and there is more willingness to consider starting from the cloud when we\u2019re implementing our solution. One of our clients is fully embarked on a Microsoft Azure implementation where they\u2019re moving all of their various operating units onto cloud-based resources. That\u2019s a very flexible arrangement that allows them to expand as needed for a given workload, to share throughout the company and be much more flexible and responsive.\u201d<\/p>\n

Find out more by downloading <\/strong>Microsoft\u2019s <\/strong>Perspectives on Insurance Risk Modelling<\/strong><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Life insurance businesses are operating in an environment of rapidly changing risks and economic parameters, with several key trends driving them towards more complex, resource-intensive measurement techniques.<\/p>\n","protected":false},"author":843,"featured_media":9928,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"ms_queue_id":[],"ep_exclude_from_search":false,"_classifai_error":"","_classifai_text_to_speech_error":"","footnotes":""},"categories":[1523,4255],"post_tag":[],"content-type":[1483],"coauthors":[4311],"class_list":["post-1869","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-financial-services","category-insurance","content-type-thought-leadership"],"yoast_head":"\nRisk Modelling in Insurance: A comprehensive solution for life insurance companies - Microsoft Industry Blogs<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, 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