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:where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-n26cjgwz.nxe img{max-width:100%;height:auto}<\/style><svg class=\"nx-defs\" aria-hidden=\"true\" focusable=\"false\" width=\"0\" height=\"0\"><defs><linearGradient id=\"nx-gi\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-giu\" gradientUnits=\"userSpaceOnUse\" x1=\"0\" y1=\"0\" x2=\"800\" y2=\"0\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-gp\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gp-a\"\/><stop offset=\"1\" class=\"nx-gp-b\"\/><\/linearGradient><\/defs><\/svg><section class=\"nx-scene nx-es-scene\" data-scene=\"text\" data-ground=\"none\" data-es-org=\"gra\" aria-labelledby=\"nx-scene-title\"><div class=\"nx-scene-intro nx-es-intro\"><p class=\"nx-eyebrow\"><abbr title=\"The Global Risks Alliance\">GRA<\/abbr> \u00b7 Actuarial and Quantitative Risk<\/p><span class=\"nx-scene-rule\" aria-hidden=\"true\"><\/span><p class=\"nx-scene-accent nx-es-sig\"><strong>Spatial finance<\/strong><span>Where capital meets hazard, exposure and transition<\/span><\/p><h1 id=\"nx-scene-title\" class=\"nx-scene-title\">Research and evidence<\/h1><p class=\"nx-scene-lede\">Actuarial and Quantitative Risk research asks how to estimate tails honestly with short and changing data, how to represent dependence between perils and regions, how climate should condition pricing, and how models should be validated when the past is a biased sample.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/research\/methods\/\">Open Methods and uncertainty <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/\">Back to Actuarial and Quantitative Risk<\/a><\/div><\/div><\/section><section id=\"nx-s-1-sec\" class=\"nx-section\" data-hue=\"finance\" data-tone=\"alt\" aria-labelledby=\"nx-s-1\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">01<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Workspace<\/span><\/div><h2 id=\"nx-s-1\" class=\"nx-section-title\">The workspace for research and evidence.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-es-fig\" data-es-layout=\"split\"><div><div class=\"nx-window\"><div class=\"nx-window-bar\" aria-hidden=\"true\"><span class=\"nx-window-dots\"><span><\/span><span><\/span><span><\/span><\/span><span><strong>GRA<\/strong> \u00b7 Actuarial and Quantitative Risk \u00b7 Evidence grading<\/span><span class=\"nx-window-note\">Illustrative<\/span><\/div><div class=\"nx-figure-frame\" data-scene=\"true\"><figure class=\"nx-fk nx-cx\" data-fk=\"cx-actuarial-evidence-grading\" data-cx=\"actuarial.evidence-grading\" data-variant=\"hero\" aria-label=\"Evidence grading: illustrative console with example names and values\"><div class=\"nx-fk-head\"><div class=\"nx-fk-heading\"><h3 class=\"nx-fk-title\">Evidence grading<\/h3><p class=\"nx-fk-sub\">Research and evidence \u00b7 Review wave 2 \u00b7 Example interface, not a record<\/p><\/div><\/div><div class=\"nx-cx-status\"><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Two sources downgraded<\/span><span class=\"nx-cx-prod\">GRA \u00b7 Actuarial and Quantitative Risk<\/span><\/div><div class=\"nx-cx-grid\"><div class=\"nx-fk-panel nx-cx-p\" data-w=\"4\" data-t=\"matrix\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Certainty by criterion<\/h4><p class=\"nx-fk-panel-sub\">0 low to 100 high<\/p><\/div><\/div><div class=\"nx-fk-chart\"><svg class=\"nx-fk-svg\" viewBox=\"0 0 520 138\" width=\"520\" height=\"138\" role=\"img\" focusable=\"false\" preserveAspectRatio=\"xMidYMid meet\" aria-label=\"Certainty by criterion\" data-fk-chart=\"cx-actuarial-evidence-grading-heat\" data-nx-z=\"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\"><\/svg><\/div><p class=\"nx-fk-note\">Higher is more certain. Values are examples.<\/p><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"2\" data-t=\"queue\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Review queue<\/h4><\/div><\/div><ol class=\"nx-cx-q\"><li><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>R-1<\/span><span class=\"nx-cx-qb\"><span class=\"nx-cx-qt\">Best estimate reserves<\/span><span class=\"nx-cx-qm\">second reviewer<\/span><\/span><span class=\"nx-cx-age\"><span class=\"nx-cx-n\">4<\/span> d<\/span><\/li><li><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>R-2<\/span><span class=\"nx-cx-qb\"><span class=\"nx-cx-qt\">Risk margin<\/span><span class=\"nx-cx-qm\">second reviewer<\/span><\/span><span class=\"nx-cx-age\"><span class=\"nx-cx-n\">1<\/span> d<\/span><\/li><li><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>R-3<\/span><span class=\"nx-cx-qb\"><span class=\"nx-cx-qt\">Actual vs expected claims<\/span><span class=\"nx-cx-qm\">second reviewer<\/span><\/span><span class=\"nx-cx-age\"><span class=\"nx-cx-n\">3<\/span> d<\/span><\/li><\/ol><\/div><\/div><div class=\"nx-fk-tip\" aria-hidden=\"true\" hidden><\/div><figcaption class=\"nx-fk-cap\"><span>Evidence grading.<\/span><span data-honesty=\"true\">Illustrative interface; not live data.<\/span><\/figcaption><\/figure><\/div><\/div><p class=\"nx-caption\"><strong>Actuarial and Quantitative Risk \u00b7 Evidence grading.<\/strong> <span>Evidence grading: example names and illustrative values, not a record.<\/span><\/p><\/div><\/div><\/div><\/div><\/section><section class=\"nx-section\" data-band=\"auto\" data-band-id=\"nx-band-1\" data-hue=\"project\" aria-label=\"Questions, Agenda, Evidence\"><div class=\"nx-container\"><div class=\"nx-hm-band nx-band\" data-nx-tabs=\"true\" data-active=\"p1\"><div class=\"nx-tablist nx-hm-tabs\" role=\"tablist\" aria-label=\"Questions, Agenda, Evidence\"><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-1\" aria-controls=\"nx-sec-questions\" aria-selected=\"true\" data-key=\"p1\">Questions<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-2\" aria-controls=\"nx-sec-pg-nx-gra-ap11-rs\" aria-selected=\"false\" data-key=\"p2\">Agenda<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-3\" aria-controls=\"nx-sec-evidence\" aria-selected=\"false\" data-key=\"p3\">Evidence<\/button><\/div><section id=\"nx-sec-questions\" class=\"nx-section nx-band-panel\" data-hue=\"project\" data-variant=\"inset\" aria-labelledby=\"nx-s-2\" role=\"tabpanel\" data-band-tab=\"nx-band-1-tab-1\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">02<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Questions<\/span><\/div><h2 id=\"nx-s-2\" class=\"nx-section-title\">What the research asks.<\/h2><\/div><div class=\"nx-section-body\"><ol class=\"nx-rows\"><li><span class=\"nx-eyebrow nx-index\">01<\/span><div><h3 class=\"nx-h4\">Loss distributions<\/h3><p class=\"nx-p nx-mt-1\">Frequency, severity and aggregate loss, and how tails are estimated.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">02<\/span><div><h3 class=\"nx-h4\">Extreme value methods<\/h3><p class=\"nx-p nx-mt-1\">Tail estimation for hazards, markets and operational losses.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">03<\/span><div><h3 class=\"nx-h4\">Climate-adjusted pricing questions<\/h3><p class=\"nx-p nx-mt-1\">How non-stationary hazard changes pricing assumptions.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">04<\/span><div><h3 class=\"nx-h4\">Credibility and sparse data<\/h3><p class=\"nx-p nx-mt-1\">Working where loss history is short or missing.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">05<\/span><div><h3 class=\"nx-h4\">Dependence and correlation<\/h3><p class=\"nx-p nx-mt-1\">Copulas, contagion and why correlations break in stress.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">06<\/span><div><h3 class=\"nx-h4\">Capital and solvency models<\/h3><p class=\"nx-p nx-mt-1\">Internal models, standard formulas and their assumptions.<\/p><\/div><\/li><\/ol><\/div><\/div><\/section><section id=\"nx-sec-pg-nx-gra-ap11-rs\" class=\"nx-section nx-band-panel\" data-hue=\"finance\" aria-labelledby=\"nx-s-3\" role=\"tabpanel\" data-band-tab=\"nx-band-1-tab-2\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">03<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Agenda<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">Questions, methods and limits.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th>Question<\/th><th>Method<\/th><th>Limit<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Question\">How uncertain is a 1-in-200 estimate?<\/td><td data-label=\"Method\">Extreme value theory with intervals<\/td><td data-label=\"Limit\">Short records<\/td><\/tr><tr><td data-label=\"Question\">How should climate adjust pricing?<\/td><td data-label=\"Method\">Trend-adjusted hazard views<\/td><td data-label=\"Limit\">Attribution contested<\/td><\/tr><tr><td data-label=\"Question\">How should dependence be modelled?<\/td><td data-label=\"Method\">Copulas and scenario dependence<\/td><td data-label=\"Limit\">Tail dependence poorly identified<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-evidence\" class=\"nx-section nx-band-panel\" data-hue=\"project\" data-variant=\"split\" aria-labelledby=\"nx-s-4\" role=\"tabpanel\" data-band-tab=\"nx-band-1-tab-3\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">04<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Evidence<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">Every result keeps its label.<\/h2><p class=\"nx-lede\">Results are labelled as observed, published statistics, estimated, modelled, forecast, scenario or expert judgement. Missing data is shown as missing, never filled silently.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-cells\" data-cols=\"3\"><div><span class=\"nx-eyebrow\">Methods<\/span><h3 class=\"nx-h4 nx-mt-2\">Methods and uncertainty<\/h3><p class=\"nx-p nx-mt-1\"><a class=\"nx-link\" href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/research\/methods\/\">How results are produced and where they stop<\/a><\/p><\/div><div><span class=\"nx-eyebrow\">Sources<\/span><h3 class=\"nx-h4 nx-mt-2\">Source and data register<\/h3><p class=\"nx-p nx-mt-1\"><a class=\"nx-link\" href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/research\/sources\/\">Where data comes from and on what terms<\/a><\/p><\/div><div><span class=\"nx-eyebrow\">Publications<\/span><h3 class=\"nx-h4 nx-mt-2\">Reviewed outputs<\/h3><p class=\"nx-p nx-mt-1\"><a class=\"nx-link\" href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/publications\/\">Citable work with its editorial status<\/a><\/p><\/div><\/div><\/div><\/div><\/section><\/div><\/div><\/section><section class=\"nx-section\" data-band=\"auto\" data-band-id=\"nx-band-2\" data-tone=\"alt\" data-hue=\"finance\" aria-label=\"Sources, Pages, Questions\"><div class=\"nx-container\"><div class=\"nx-hm-band nx-band\" data-nx-tabs=\"true\" data-active=\"p1\"><div class=\"nx-tablist nx-hm-tabs\" role=\"tablist\" aria-label=\"Sources, Pages, Questions\"><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-2-tab-1\" aria-controls=\"nx-sec-pg-sources\" aria-selected=\"true\" data-key=\"p1\">Sources<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-2-tab-2\" aria-controls=\"nx-s-6-sec\" aria-selected=\"false\" data-key=\"p2\">Pages<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-2-tab-3\" aria-controls=\"nx-s-7-sec\" aria-selected=\"false\" data-key=\"p3\">Questions<\/button><\/div><section id=\"nx-sec-pg-sources\" class=\"nx-section nx-band-panel\" data-hue=\"finance\" data-variant=\"inset\" aria-labelledby=\"nx-s-5\" role=\"tabpanel\" data-band-tab=\"nx-band-2-tab-1\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">05<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Sources<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">Where this page&#8217;s references lead.<\/h2><p class=\"nx-lede\">The bodies and documents this page is read against. Status and editions change; each link goes to the issuing body.<\/p><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\" data-nav=\"true\"><li><a class=\"nx-link\" href=\"https:\/\/www.ipcc.ch\/assessment-report\/ar6\/\"><span>IPCC AR6 Working Group I and II assessments<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/www.actuaries.org\/\"><span>International Actuarial Association: International Standards of Actuarial Practice (ISAP)<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><\/ul><\/div><\/div><\/section><section id=\"nx-s-6-sec\" class=\"nx-section nx-band-panel\" data-hue=\"project\" aria-labelledby=\"nx-s-6\" role=\"tabpanel\" data-band-tab=\"nx-band-2-tab-2\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">06<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Pages<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">Pages in Research and evidence.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-cards\" data-cols=\"3\"><a class=\"nx-card\" href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/research\/methods\/\"><span class=\"nx-eyebrow\">Page<\/span><h3 class=\"nx-h4 nx-mt-2\">Methods and uncertainty<\/h3><\/a><a class=\"nx-card\" href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/research\/sources\/\"><span class=\"nx-eyebrow\">Page<\/span><h3 class=\"nx-h4 nx-mt-2\">Source and data register<\/h3><\/a><\/div><\/div><\/div><\/section><section id=\"nx-s-7-sec\" class=\"nx-section nx-band-panel\" data-hue=\"finance\" aria-labelledby=\"nx-s-7\" role=\"tabpanel\" data-band-tab=\"nx-band-2-tab-3\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">07<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Questions and answers<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>Can I propose a research question?<\/summary><div class=\"nx-answer\">Yes. Write to <a class=\"nx-link\" href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/write-to-us\/contact\/\">the contact form<\/a> with the question, the context and who would use the answer. A proposal receives a reference; it does not commit the platform to the work.<\/div><\/details><\/div><\/div><\/div><\/section><\/div><\/div><\/section><section id=\"nx-sec-nr-gateway\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" aria-labelledby=\"nx-nr-gateway-h\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">Reports<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Contribute<\/span><\/div><h2 id=\"nx-nr-gateway-h\" class=\"nx-section-title\">Contribute evidence from this page.<\/h2><p class=\"nx-lede\"><a class=\"nx-link\" href=\"https:\/\/docs.therisk.global\/organization\/programme\/reports\">Reports<\/a> is the Consortium&#8217;s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.<\/p><div class=\"nx-chips\"><span class=\"nx-chip\">Global Risks Alliance<\/span><span class=\"nx-chip\">Actuarial and Quantitative Risk<\/span><span class=\"nx-chip\">Methods and Technical<\/span><span class=\"nx-chip\">Finance and Insurance Readiness<\/span><\/div><\/div><div class=\"nx-section-body\"><ul class=\"nx-dest\"><li><a class=\"nx-dest-card\" href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/write-to-us\/contact\/\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Email<\/span><span class=\"nx-dest-host\">Gateway GW-GRA<\/span><\/span><span class=\"nx-dest-title\">Send it from this page<\/span><span class=\"nx-dest-why\">Evidence, a correction, a case, a method, a review, a translation or profile input. It arrives tagged with this page, so the editor who owns it receives it.<\/span><span class=\"nx-dest-go\" aria-hidden=\"true\"><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><\/li><li><a class=\"nx-dest-card\" href=\"https:\/\/globalriskalliance.com\/nexus-reports\/open-science\/#nx-sec-zenodo\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Zenodo<\/span><span class=\"nx-dest-host\">Open deposit<\/span><\/span><span class=\"nx-dest-title\">Deposit it and submit to the community<\/span><span class=\"nx-dest-why\">Publish your own record on Zenodo with your ORCID iD, then submit it to the Reports community there. Curators review it; the DOI stays yours.<\/span><span class=\"nx-dest-go\" aria-hidden=\"true\"><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><\/li><li><a class=\"nx-dest-card\" href=\"https:\/\/globalriskalliance.com\/nexus-reports\/contribute\/\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Reports<\/span><span class=\"nx-dest-host\">Global Risks Alliance<\/span><\/span><span class=\"nx-dest-title\">See every way to contribute<\/span><span class=\"nx-dest-why\">The contribution types, how each is reviewed, what credit you receive, the licence and what is never accepted.<\/span><span class=\"nx-dest-go\" aria-hidden=\"true\"><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><\/li><\/ul><div class=\"nx-live-slot\" data-nxf-slot=\"contribute\" data-nxf-kind=\"workflow\" data-nxf-resource=\"nexus:\/\/gra\/actuarial-quantitative-risk\/research#contribute\" data-nxf-title=\"Contribute evidence\" data-nxf-height=\"480\" hidden><\/div><p class=\"nx-note nx-mt-3\">Never send personal data, sensitive infrastructure detail or anything you have no right to share. 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