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\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<\/script><script 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auto;padding:0 16px;font-family:ui-sans-serif,system-ui,-apple-system,\"Segoe UI\",sans-serif;line-height:1.55;overflow-wrap:break-word}#nxe-ngy42ug6.nxe :where(*,*::before,*::after){box-sizing:inherit}#nxe-ngy42ug6.nxe :where(section,header,footer,nav,aside){display:block;margin:0 0 32px}#nxe-ngy42ug6.nxe :where(h1,h2,h3,h4){line-height:1.2;margin:24px 0 12px;font-weight:600}#nxe-ngy42ug6.nxe :where(p,ul,ol,dl,table,figure,details){margin:0 0 16px}#nxe-ngy42ug6.nxe :where(ul,ol){padding-left:20px}#nxe-ngy42ug6.nxe a{color:inherit;text-decoration:underline;text-underline-offset:2px}#nxe-ngy42ug6.nxe table{border-collapse:collapse;width:100%;display:block;overflow-x:auto}#nxe-ngy42ug6.nxe :where(th,td){padding:6px 8px;text-align:left;vertical-align:top;border-bottom:1px solid;border-color:inherit}#nxe-ngy42ug6.nxe svg{display:none}#nxe-ngy42ug6.nxe svg.nx-i{display:inline-block;width:18px;height:18px;vertical-align:-3px}#nxe-ngy42ug6.nxe :where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-ngy42ug6.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\">GRA \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\">Capital and solvency models<\/h1><p class=\"nx-scene-lede\">Capital and solvency models set how much capital insurers and other financial firms must hold to absorb severe losses. Regimes use standard formulas, internal models or both, calibrated to confidence levels over a time horizon. The IAIS Insurance Capital Standard adds a group-wide requirement for internationally active insurers. This page sets out how capital models work, where they mislead, the standards that govern them and who decides.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/contact\/\">Make an enquiry <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\/topics\/\">Back to Topics<\/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\">Register<\/span><\/div><h2 id=\"nx-s-1\" class=\"nx-section-title\">Capital and solvency models on the record.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-es-fig\" data-es-layout=\"console\"><div class=\"nx-hero-panel\"><div class=\"nx-register\"><div class=\"nx-register-head\"><span class=\"nx-eyebrow\"><strong>Dossier<\/strong><\/span><span class=\"nx-eyebrow\">A-P11 \u00b7 topic<\/span><\/div><ol class=\"nx-register-rows\"><li><a href=\"#nx-sec-brief-answer\"><span class=\"nx-register-n\">01<\/span><span class=\"nx-register-k\">In brief<\/span><span class=\"nx-register-v\">Definition and scope<\/span><\/a><\/li><li><a href=\"#nx-sec-question\"><span class=\"nx-register-n\">02<\/span><span class=\"nx-register-k\">The question<\/span><span class=\"nx-register-v\">4 mechanisms<\/span><\/a><\/li><li><a href=\"#nx-sec-terms\"><span class=\"nx-register-n\">03<\/span><span class=\"nx-register-k\">Key terms<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">3<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-field\"><span class=\"nx-register-n\">04<\/span><span class=\"nx-register-k\">Field<\/span><span class=\"nx-register-v\">H3 field plate<\/span><\/a><\/li><li><a href=\"#nx-sec-indicators\"><span class=\"nx-register-n\">05<\/span><span class=\"nx-register-k\">Indicators<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">6<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-pipeline\"><span class=\"nx-register-n\">06<\/span><span class=\"nx-register-k\">Pipeline<\/span><span class=\"nx-register-v\">Run graph<\/span><\/a><\/li><li><a href=\"#nx-sec-sources\"><span class=\"nx-register-n\">07<\/span><span class=\"nx-register-k\">Sources<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">5<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-decisions\"><span class=\"nx-register-n\">08<\/span><span class=\"nx-register-k\">Decision holders<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">4<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-methods\"><span class=\"nx-register-n\">09<\/span><span class=\"nx-register-k\">Methods<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">5<\/span><\/span><\/a><\/li><\/ol><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-question\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" aria-labelledby=\"nx-s-2\"><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\">The question<\/span><\/div><h2 id=\"nx-s-2\" class=\"nx-section-title\">Capital and solvency models: how the risk develops.<\/h2><p class=\"nx-lede\">Internal models, standard formulas and their assumptions. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-cells\" data-cols=\"2\"><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 13c0 5-3.5 7.5-7.66 8.95a1 1 0 0 1-.67-.01C7.5 20.5 4 18 4 13V6a1 1 0 0 1 1-1c2 0 4.5-1.2 6.24-2.72a1.17 1.17 0 0 1 1.52 0C14.51 3.81 17 5 19 5a1 1 0 0 1 1 1z\"\/><path d=\"m9 12 2 2 4-4\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Calibration sets the bar<\/h3><p class=\"nx-p nx-mt-1\">Requirements are calibrated to a confidence level, such as the loss expected once in two hundred years. Calibration choices for each risk decide total capital.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"m12.83 2.18a2 2 0 0 0-1.66 0L2.6 6.08a1 1 0 0 0 0 1.83l8.58 3.91a2 2 0 0 0 1.66 0l8.58-3.9a1 1 0 0 0 0-1.83Z\"\/><path d=\"m22 17.65-9.17 4.16a2 2 0 0 1-1.66 0L2 17.65\"\/><path d=\"m22 12.65-9.17 4.16a2 2 0 0 1-1.66 0L2 12.65\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Standard formulas average risk<\/h3><p class=\"nx-p nx-mt-1\">Standard formulas apply common factors that may not fit a particular firm's risk, overstating some and understating others.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M14 2v4a2 2 0 0 0 2 2h4\"\/><path d=\"M4.268 21a2 2 0 0 0 1.727 1H18a2 2 0 0 0 2-2V7l-5-5H6a2 2 0 0 0-2 2v3\"\/><path d=\"m9 18-1.5-1.5\"\/><circle cx=\"5\" cy=\"14\" r=\"3\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Internal models need approval<\/h3><p class=\"nx-p nx-mt-1\">Internal models can reflect a firm's risk better but require supervisory approval, validation and governance, and can be optimised to reduce capital.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M21.54 15H17a2 2 0 0 0-2 2v4.54\"\/><path d=\"M7 3.34V5a3 3 0 0 0 3 3v0a2 2 0 0 1 2 2v0c0 1.1.9 2 2 2v0a2 2 0 0 0 2-2v0c0-1.1.9-2 2-2h3.17\"\/><path d=\"M11 21.95V18a2 2 0 0 0-2-2v0a2 2 0 0 1-2-2v-1a2 2 0 0 0-2-2H2.05\"\/><circle cx=\"12\" cy=\"12\" r=\"10\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Regimes differ across borders<\/h3><p class=\"nx-p nx-mt-1\">Solvency II, the ICS, US risk-based capital and other regimes measure capital differently, complicating group supervision and comparison.<\/p><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-field\" class=\"nx-section\" data-hue=\"finance\" aria-labelledby=\"nx-s-3\"><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\">Spatial finance<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">Exposure, hazard and the exceedance curve.<\/h2><p class=\"nx-lede\">Which places drive loss in a severe year, and how far it reaches into reinsurance. Illustrative design values.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><figure class=\"nx-fk nx-sf\" data-fk=\"cat-ep\" data-gl=\"sf:cat-ep\" data-sf=\"cat-ep\" data-sx-credit=\"Natural Earth (public domain) | design event set, not a model output\" data-sx-src=\"Natural Earth ~ public domain ~ https:\/\/www.naturalearthdata.com\/ | Design scenario values by the Global Risk Alliance ~ illustrative, not data\" data-sf-learn-views=\"ep\" aria-label=\"Interactive map: coastal exposure under cyclone basins and earthquake belts, linked to a loss exceedance curve. Choosing a return period on the curve marks the places that lose at it.\" 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\"><figcaption class=\"nx-fk-cap\"><span>Coastal exposure under cyclone and earthquake zones, beside the loss curve it produces.<\/span><span data-honesty=\"true\">Illustrative design values, not a model output or a price.<\/span><\/figcaption><\/figure><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"map\" data-nxf-kind=\"map\" data-nxf-resource=\"nexus:\/\/gra\/A-P11\/topics\/capital-and-solvency-models\/#map\" data-nxf-title=\"Actuarial and Quantitative Risk live map\" data-nxf-height=\"560\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-indicators\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-4\"><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\">Indicators<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">What is measured, and how well.<\/h2><p class=\"nx-lede\">Each indicator carries its unit, its cadence, the kind of source behind it and the evidence label a value would carry. No values are shown: a programme supplies them under its own authority.<\/p><\/div><div class=\"nx-section-body\" data-lv=\"register\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Indicator<\/th><th scope=\"col\">Unit<\/th><th scope=\"col\">Cadence<\/th><th scope=\"col\">Source type<\/th><th scope=\"col\">Label<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Indicator\">Solvency ratio<\/td><td data-label=\"Unit\">eligible own funds over capital requirement, percent<\/td><td data-label=\"Cadence\">quarterly or annual<\/td><td data-label=\"Source type\">Supervisory disclosures<\/td><td data-label=\"Label\"><span class=\"nx-chip\">Published statistics<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Capital requirement by risk module<\/td><td data-label=\"Unit\">currency<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Solvency and financial condition reports<\/td><td data-label=\"Label\"><span class=\"nx-chip\">Published statistics<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Internal model users<\/td><td data-label=\"Unit\">count of firms<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Supervisor records<\/td><td data-label=\"Label\"><span class=\"nx-chip\">Published statistics<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Diversification benefit in capital<\/td><td data-label=\"Unit\">currency<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Solvency reports<\/td><td data-label=\"Label\"><span class=\"nx-chip\">Published statistics<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Internationally active insurance groups identified<\/td><td data-label=\"Unit\">count<\/td><td data-label=\"Cadence\">periodic<\/td><td data-label=\"Source type\">IAIS register<\/td><td data-label=\"Label\"><span class=\"nx-chip\">Published statistics<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Capital sensitivity to key assumptions<\/td><td data-label=\"Unit\">percent change<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Solvency reports<\/td><td data-label=\"Label\"><span class=\"nx-chip\">DECLARED<\/span><\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"indicators\" data-nxf-kind=\"indicator\" data-nxf-resource=\"nexus:\/\/gra\/A-P11\/topics\/capital-and-solvency-models\/#indicators\" data-nxf-title=\"Indicators\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-twin\" class=\"nx-section\" data-hue=\"finance\" data-span=\"wide\" data-ns-layout=\"twin\" aria-labelledby=\"nx-s-5\"><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\">Twin and cascade simulator<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">Trace a shock in capital and solvency models to the balance sheet.<\/h2><p class=\"nx-lede\">Assembled from the Nexus Standards area profile <a class=\"nx-link\" href=\"https:\/\/nexustandards.com\/finance\/insurance-and-reinsurance\/\">Insurance and reinsurance<\/a>: the shocks it names, the systems and sectors that carry the loss, the controls that dampen it and the data that observe it. Pick an initiating shock and step through the cascade to see which exposures it reaches and where losses could concentrate. The Map view places the run on an example geography with open data. Every weight is a stated assumption. An exercise, not a forecast, a valuation, a rating or investment advice.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-ns-twin\" data-ns-data=\"nx-twin-es-topics-capital-and-solvency-models-A-P11\" data-ns-credits=\"Nexus Standards registry and area profiles; Nexus Hazard Standard NHS-1 1.1.0\"><div class=\"nx-ns-twin-static\"><div><p class=\"nx-eyebrow\">Hazards<\/p><ul class=\"nx-list\"><li>Tropical cyclone<\/li><li>Earthquake<\/li><li>Ice-jam flood<\/li><li>Wildfire<\/li><li>Storm surge (set off downstream)<\/li><li>Intense rainfall (set off downstream)<\/li><li>River flood (set off downstream)<\/li><li>Flash flood (set off downstream)<\/li><li>Dangerous surf (set off downstream)<\/li><li>Widespread power outage (set off downstream)<\/li><li>Mass displacement (set off downstream)<\/li><li>Coastal flood (set off downstream)<\/li><li>Aftershock sequence (set off downstream)<\/li><li>Fault surface rupture (set off downstream)<\/li><li>Soil liquefaction (set off downstream)<\/li><li>Slope slide (set off downstream)<\/li><li>Rockfall (set off downstream)<\/li><li>Tsunami (set off downstream)<\/li><\/ul><\/div><div><p class=\"nx-eyebrow\">Systems and couplings<\/p><ul class=\"nx-list\"><li><a class=\"nx-link\" href=\"https:\/\/nexustandards.com\/finance\/insurance-and-reinsurance\/\">Insurance and reinsurance<\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/nexustandards.com\/finance\/banking\/\">Banking<\/a> <span class=\"nx-ns-sub\">Coupling<\/span><\/li><li><a class=\"nx-link\" href=\"https:\/\/nexustandards.com\/finance\/development-finance-institutions\/\">Development finance institutions<\/a> <span class=\"nx-ns-sub\">Coupling<\/span><\/li><li><a class=\"nx-link\" href=\"https:\/\/nexustandards.com\/humanitarian\/humanitarian-sector-standards\/\">Humanitarian and civil society<\/a> <span class=\"nx-ns-sub\">Coupling<\/span><\/li><li><a class=\"nx-link\" href=\"https:\/\/nexustandards.com\/water-food\/agriculture-sector-standards\/\">Agriculture and land use<\/a> <span class=\"nx-ns-sub\">Coupling<\/span><\/li><\/ul><\/div><div><p class=\"nx-eyebrow\">Controls<\/p><ul class=\"nx-list\"><li><code>NS-0<\/code> Constitution and principles<\/li><li><code>NS-3<\/code> Risk record UNIs (grammar, legacy crosswalk, allocation authority)<\/li><li><code>NS-9<\/code> Contextual UNIs (deployments, instances, programme instances)<\/li><li><code>NS-10<\/code> Policies and clauses (machine-readable obligations: definition, binding, evaluation and enforcement)<\/li><li><code>NS-11<\/code> Verification and monitoring (evidence, attestations, zero-trust conformance observation)<\/li><li><code>NS-14<\/code> Conformance and crosswalk to external standards<\/li><li><code>NRS-F3<\/code> Insurance, catastrophe risk and protection gaps<\/li><li><code>NRS-H113<\/code> Hazard family: Financial-system fragility (NHS-1 soc.financial-system)<\/li><li><code>NRS-U17<\/code> Universe platform profile: Insurance Nexus<\/li><li><code>NRS-H71<\/code> Hazard family: Deep-time and cosmic catastrophes (NHS-1 planet.deep-time)<\/li><li><code>NRS-H65<\/code> Hazard family: Planetary boundary transgressions (NHS-1 planet.boundary)<\/li><li><code>NRS-F8<\/code> Parametric and index-based risk transfer<\/li><\/ul><\/div><div><p class=\"nx-eyebrow\">Observation<\/p><ul class=\"nx-list\"><li>OECD Data Explorer (incl. Creditor Reporting System, insurance and pension statistics) (listed for reference)<\/li><li>Insurance statistics (listed for reference)<\/li><li>USGS earthquake GeoJSON summary feeds (listed for reference)<\/li><li>Direct economic loss attributed to disasters in relation to global gross domestic product (GDP)<\/li><li>Direct economic loss attributed to disasters in relation to global gross domestic product<\/li><li>(a) Number of commercial bank branches per 100,000 adults and (b) number of automated teller machines (ATMs) per 100,000 adults<\/li><\/ul><\/div><div><p class=\"nx-eyebrow\">Example geography<\/p><ul class=\"nx-list\"><li>Western Europe: 152 H3 hexagons at resolution 3<\/li><li>Rain rate, last half hour (IMERG), NASA GIBS<\/li><li>Night lights tonight, outages (VIIRS Day\/Night Band), NASA GIBS<\/li><li>Surface water through cloud, 30 m (OPERA DSWx-S1 radar), NASA GIBS<\/li><li>Carbon monoxide, smoke transport (AIRS), NASA GIBS<\/li><\/ul><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-pipeline\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" aria-labelledby=\"nx-s-6\"><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\">Canvas<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">From sources to decisions.<\/h2><p class=\"nx-lede\">The topic as a computational graph: named sources feed the methods, an evidence review gates the outputs, and the decisions stay with the authorities that hold them.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-plate\" data-wide=\"true\"><div class=\"nx-plate-label\"><span class=\"nx-eyebrow\"><strong>Pipeline canvas<\/strong> \u00b7 Capital and solvency models as a run graph<\/span><span class=\"nx-eyebrow\">Design, not a record<\/span><\/div><div class=\"nx-figure-frame\" data-scene=\"true\"><svg class=\"nx-figure nx-ui nx-dag\" viewBox=\"0 0 1200 697\" data-nx-dag=\"true\" data-w=\"1200\" data-h=\"697\" role=\"img\" aria-labelledby=\"nx-dag-a-p11-topics-capital-and-solvency-models--t nx-dag-a-p11-topics-capital-and-solvency-models--d\" data-nx-z=\"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\"><title id=\"nx-dag-a-p11-topics-capital-and-solvency-models--t\">Capital and solvency models: capital adequacy assessment<\/title><desc id=\"nx-dag-a-p11-topics-capital-and-solvency-models--d\">Exposures are aggregated and weighted; the capital stack and buffers are set against requirements; stress scenarios test the ratio; the internal assessment (ICAAP or ORSA) goes to the board and the supervisor. Design of the process, not a record of a run.<\/desc><\/svg><\/div><\/div><p class=\"nx-caption\"><strong>Fig. 02<\/strong><span>Nodes carry their type, two metric rows and a state; connectors show what feeds what; dashed frames name the owners; the timeline is the cadence. Design of the pipeline, not a record of a run.<\/span><\/p><\/div><\/div><\/section><section id=\"nx-sec-audience\" class=\"nx-section\" data-hue=\"finance\" aria-labelledby=\"nx-s-7\"><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\">Exposure, loss and capital<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">What capital and solvency models means for exposure, loss and capital.<\/h2><p class=\"nx-lede\">The exposure, loss, scenario and capital views a risk officer, supervisor or ministry of finance would ask for, with the frameworks they report against. Structures follow supervisory and actuarial practice. Values are illustrative: never prices, ratings or advice.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-au\" data-au-voice=\"finance\" data-au-n=\"1\"><figure class=\"nx-au-c\" data-au-fig=\"exposure-loss\"><h3 class=\"nx-h4\">Exposure and loss at return periods<\/h3><p class=\"nx-p nx-au-what\">How losses from capital and solvency models grow with severity, gross and net of reinsurance, against capital.<\/p><div class=\"nx-au-cols\"><div class=\"nx-au-fig\"><svg class=\"nx-au-svg\" viewBox=\"0 0 560 214\" role=\"img\" aria-label=\"Exceedance probability curve, gross and net loss by return period\" focusable=\"false\"><line class=\"nx-au-ax\" x1=\"50\" y1=\"186\" x2=\"540\" y2=\"186\"\/><line class=\"nx-au-ax\" x1=\"50\" y1=\"16\" x2=\"50\" y2=\"186\"\/><path class=\"nx-au-ln\" d=\"M50 156.3l163.3-40.4 163.4-27.6 163.3-46.8\"\/><path class=\"nx-au-ac\" d=\"M50 164.8l163.3-23.4 163.4-12.8 163.3-25.5\"\/><text class=\"nx-au-t\" x=\"50\" y=\"202\" text-anchor=\"middle\">1 in 10<\/text><circle class=\"nx-au-nd nx-au-nd-ac\" cx=\"50.0\" cy=\"164.8\" r=\"3.5\"\/><text class=\"nx-au-t\" x=\"213.33\" y=\"202\" text-anchor=\"middle\">1 in 50<\/text><circle class=\"nx-au-nd nx-au-nd-ac\" cx=\"213.3\" cy=\"141.4\" r=\"3.5\"\/><text class=\"nx-au-t\" x=\"376.67\" y=\"202\" text-anchor=\"middle\">1 in 100<\/text><circle class=\"nx-au-nd nx-au-nd-ac\" cx=\"376.7\" cy=\"128.6\" r=\"3.5\"\/><text class=\"nx-au-t\" x=\"540\" y=\"202\" text-anchor=\"middle\">1 in 250<\/text><circle class=\"nx-au-nd nx-au-nd-ac\" cx=\"540.0\" cy=\"103.1\" r=\"3.5\"\/><text class=\"nx-au-t\" x=\"534\" y=\"33.5\" text-anchor=\"end\">gross<\/text><text class=\"nx-au-t\" x=\"526\" y=\"129.13\" text-anchor=\"end\">net of reinsurance<\/text><text class=\"nx-au-t\" x=\"44\" y=\"20\" text-anchor=\"end\">80<\/text><text class=\"nx-au-t\" x=\"44\" y=\"190\" text-anchor=\"end\">0<\/text><\/svg><\/div><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Return period<\/th><th scope=\"col\">Annual probability<\/th><th scope=\"col\">Gross loss<\/th><th scope=\"col\">Net loss<\/th><th scope=\"col\">Net, capital = 100<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Return period\">1 in 10<\/td><td data-label=\"Annual probability\">0.10<\/td><td data-label=\"Gross loss\">14<\/td><td data-label=\"Net loss\">10<\/td><td data-label=\"Net, capital = 100\"><span class=\"nx-au-num\">10<\/span><\/td><\/tr><tr><td data-label=\"Return period\">1 in 50<\/td><td data-label=\"Annual probability\">0.02<\/td><td data-label=\"Gross loss\">33<\/td><td data-label=\"Net loss\">21<\/td><td data-label=\"Net, capital = 100\"><span class=\"nx-au-num\">21<\/span><\/td><\/tr><tr><td data-label=\"Return period\">1 in 100<\/td><td data-label=\"Annual probability\">0.01<\/td><td data-label=\"Gross loss\">46<\/td><td data-label=\"Net loss\">27<\/td><td data-label=\"Net, capital = 100\"><span class=\"nx-au-num\">27<\/span><\/td><\/tr><tr><td data-label=\"Return period\">1 in 250<\/td><td data-label=\"Annual probability\">0.004<\/td><td data-label=\"Gross loss\">68<\/td><td data-label=\"Net loss\">39<\/td><td data-label=\"Net, capital = 100\"><span class=\"nx-au-num\">39<\/span><\/td><\/tr><tr><td data-label=\"Return period\">Average annual loss<\/td><td data-label=\"Annual probability\"><\/td><td data-label=\"Gross loss\">3.1<\/td><td data-label=\"Net loss\">2.2<\/td><td data-label=\"Net, capital = 100\">2.2<\/td><\/tr><\/tbody><\/table><\/div><\/div><figcaption class=\"nx-caption\"><span>Illustrative loss index for a placeholder portfolio (capital = 100): the exceedance-probability form insurers and supervisors read. Not data on any institution, not a price or a rating.<\/span><\/figcaption><\/figure><\/div><div class=\"nx-chips nx-au-fw\" aria-label=\"Frameworks cited\"><span class=\"nx-chip\">NGFS climate scenarios \u00b7 Network for Greening the Financial System<\/span><span class=\"nx-chip\">IFRS S2 Climate-related Disclosures \u00b7 ISSB<\/span><span class=\"nx-chip\">TCFD recommendations \u00b7 Financial Stability Board TCFD<\/span><span class=\"nx-chip\">Principles for the effective management of climate-related financial risks \u00b7 Basel Committee on Banking Supervision<\/span><\/div><\/div><\/div><\/section><section id=\"nx-sec-sources\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" aria-labelledby=\"nx-s-8\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">08<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Sources<\/span><\/div><h2 id=\"nx-s-8\" class=\"nx-section-title\">Where the evidence comes from.<\/h2><p class=\"nx-lede\">Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.<\/p><\/div><div class=\"nx-section-body\" data-lv=\"register\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Source<\/th><th scope=\"col\">What it gives<\/th><th scope=\"col\">Licence class<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Source\">EIOPA Solvency II statistics and solvency and financial condition reports<\/td><td data-label=\"What it gives\">Capital positions of EU insurers<\/td><td data-label=\"Licence class\">Free, EU reuse terms<\/td><\/tr><tr><td data-label=\"Source\">IAIS Insurance Capital Standard documents<\/td><td data-label=\"What it gives\">ICS structure and specifications<\/td><td data-label=\"Licence class\">Free, IAIS terms<\/td><\/tr><tr><td data-label=\"Source\">NAIC risk-based capital resources<\/td><td data-label=\"What it gives\">United States insurer capital framework<\/td><td data-label=\"Licence class\">Free to read, NAIC terms<\/td><\/tr><tr><td data-label=\"Source\">Bermuda Monetary Authority BSCR documents<\/td><td data-label=\"What it gives\">Bermuda capital framework<\/td><td data-label=\"Licence class\">Free, BMA terms<\/td><\/tr><tr><td data-label=\"Source\">PRA and other supervisor internal model guidance<\/td><td data-label=\"What it gives\">Expectations for internal models<\/td><td data-label=\"Licence class\">Free, terms per supervisor<\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/gra\/A-P11\/topics\/capital-and-solvency-models\/#evidence\" data-nxf-title=\"Sources\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-decisions\" class=\"nx-section\" data-hue=\"finance\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-9\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">09<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Decisions<\/span><\/div><h2 id=\"nx-s-9\" class=\"nx-section-title\">Who decides, and what the evidence serves.<\/h2><p class=\"nx-lede\">Actuarial and Quantitative Risk prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Who decides<\/th><th scope=\"col\">The question<\/th><th scope=\"col\">Evidence this page serves<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Who decides\">Boards and chief risk officers<\/td><td data-label=\"The question\">Whether to use a standard formula or internal model and what capital to hold<\/td><td data-label=\"Evidence this page serves\">Capital results, sensitivities and validation<\/td><\/tr><tr><td data-label=\"Who decides\">Supervisors<\/td><td data-label=\"The question\">Whether to approve internal models and what capital to require<\/td><td data-label=\"Evidence this page serves\">Model applications and reviews<\/td><\/tr><tr><td data-label=\"Who decides\">The IAIS and jurisdictions<\/td><td data-label=\"The question\">How the ICS is implemented and assessed<\/td><td data-label=\"Evidence this page serves\">Implementation assessments<\/td><\/tr><tr><td data-label=\"Who decides\">Rating agencies and investors<\/td><td data-label=\"The question\">How to compare capital across regimes<\/td><td data-label=\"Evidence this page serves\">Disclosures and reconciliation<\/td><\/tr><\/tbody><\/table><\/div><h3 class=\"nx-h4 nx-mt-4\">Outputs this topic produces<\/h3><ul class=\"nx-list\"><li>Guide to capital calibration and confidence levels<\/li><li>Comparative notes on Solvency II, the ICS and risk-based capital<\/li><li>Brief on internal model governance<\/li><li>Questions for boards on capital model limits<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-core-questions\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" data-variant=\"inset\" aria-labelledby=\"nx-s-10\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">10<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Core questions<\/span><\/div><h2 id=\"nx-s-10\" class=\"nx-section-title\">The questions experts ask.<\/h2><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\"><li>What risk measure and confidence level define capital adequacy, and why?<\/li><li>How well does a standard formula fit a particular firm's risk profile?<\/li><li>What assumptions in an internal model drive the result most?<\/li><li>How are diversification benefits between risks calculated and justified?<\/li><li>How does the time horizon of the model relate to the duration of liabilities?<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-mechanisms\" class=\"nx-section\" data-hue=\"finance\" aria-labelledby=\"nx-s-11\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">11<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Mechanisms<\/span><\/div><h2 id=\"nx-s-11\" class=\"nx-section-title\">How capital models work.<\/h2><\/div><div class=\"nx-section-body\"><p class=\"nx-p\">Most modern solvency frameworks define required capital as the amount needed to withstand losses at a chosen confidence level over a set horizon, using risk measures such as value at risk or expected shortfall. Expected shortfall, the average loss beyond the threshold, captures tail severity better than value at risk, which says nothing about losses beyond its threshold.<\/p><p class=\"nx-p\">Standard formulas apply prescribed stresses and correlations, which makes them simple and comparable but may not fit unusual risk profiles. Internal models simulate a firm's risks and aggregate them, which can reflect its profile more closely but introduces model risk and requires extensive validation and supervisory approval. Key drivers include tail assumptions, dependence between risks and the treatment of management actions.<\/p><p class=\"nx-p\">Capital models interact with behaviour. If many firms hold similar assets and respond to stress in similar ways, capital rules can amplify market moves. Countercyclical features and supervisory stress tests aim to address this.<\/p><\/div><\/div><\/section><section id=\"nx-sec-methods-and-data\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-12\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">12<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods and data<\/span><\/div><h2 id=\"nx-s-12\" class=\"nx-section-title\">Methods and their limits.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-cells\" data-cols=\"3\"><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><circle cx=\"12\" cy=\"12\" r=\"10\"\/><circle cx=\"12\" cy=\"12\" r=\"6\"\/><circle cx=\"12\" cy=\"12\" r=\"2\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Measures<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Risk measures<\/h3><p class=\"nx-p nx-mt-1\">Value at risk and expected shortfall; each has known strengths and weaknesses.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"m12.83 2.18a2 2 0 0 0-1.66 0L2.6 6.08a1 1 0 0 0 0 1.83l8.58 3.91a2 2 0 0 0 1.66 0l8.58-3.9a1 1 0 0 0 0-1.83Z\"\/><path d=\"m22 17.65-9.17 4.16a2 2 0 0 1-1.66 0L2 17.65\"\/><path d=\"m22 12.65-9.17 4.16a2 2 0 0 1-1.66 0L2 12.65\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Aggregation<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Risk aggregation<\/h3><p class=\"nx-p nx-mt-1\">Combining risks through correlation matrices or simulation; dependence assumptions dominate.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M22 12h-2.48a2 2 0 0 0-1.93 1.46l-2.35 8.36a.25.25 0 0 1-.48 0L9.24 2.18a.25.25 0 0 0-.48 0l-2.35 8.36A2 2 0 0 1 4.49 12H2\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Stress<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Stress and scenario testing<\/h3><p class=\"nx-p nx-mt-1\">Testing capital under severe scenarios as a complement to model results.<\/p><\/div><\/div><p class=\"nx-note nx-mt-3\">Limits: capital models estimate rare outcomes from limited data, so their precision is often overstated; one-year horizons may miss slow-building risks such as climate change.<\/p><\/div><\/div><\/section><section id=\"nx-sec-methods\" class=\"nx-section\" data-hue=\"finance\" aria-labelledby=\"nx-s-13\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">13<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods<\/span><\/div><h2 id=\"nx-s-13\" class=\"nx-section-title\">How it is studied, and what the methods cannot say.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-methods\" data-limits=\"true\"><ol class=\"nx-mledger\" aria-label=\"Methods\"><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/stem\/actuarial-math\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">01<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Actuarial mathematics<\/span><span class=\"nx-mledger-role\">Reserving with development triangles \u00b7 Premium build-up \u00b7 Annuity valuation<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/mathematics\/actuarial-math\/\" aria-label=\"Actuarial mathematics: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/stem\/financial-engineering\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">02<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Financial and risk engineering<\/span><span class=\"nx-mledger-role\">Valuing embedded guarantees \u00b7 Economic scenario generators \u00b7 Risk transfer structures<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/engineering\/financial-engineering\/\" aria-label=\"Financial and risk engineering: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/stem\/uncertainty-quantification\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">03<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Uncertainty quantification and model validation<\/span><span class=\"nx-mledger-role\">Reserve ranges \u00b7 Parameter and model uncertainty \u00b7 Sensitivity ranking<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/mathematics\/uncertainty-quantification\/\" aria-label=\"Uncertainty quantification and model validation: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/stem\/extreme-value\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">04<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Extreme value theory and tail risk<\/span><span class=\"nx-mledger-role\">Excess layer pricing \u00b7 Tail capital measures \u00b7 Non-stationary hazard extremes<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/mathematics\/extreme-value\/\" aria-label=\"Extreme value theory and tail risk: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/stem\/computing\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">05<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">High-performance, cloud and edge computing<\/span><span class=\"nx-mledger-role\">Monte Carlo simulation \u00b7 Version control and reproducibility \u00b7 End-user computing controls<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/technology\/computing\/\" aria-label=\"High-performance, cloud and edge computing: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><\/ol><aside class=\"nx-limits\" aria-label=\"What the methods cannot say\"><span class=\"nx-eyebrow\">What the methods cannot say<\/span><p class=\"nx-limits-text\">Capital models estimate rare losses with uncertain parameters. Reported ratios depend on regime definitions and are not directly comparable. Internal model details are confidential. ICS implementation is being assessed across jurisdictions. Actuarial and Quantitative Risk explains frameworks; it does not assess any firm's capital or give advice.<\/p><\/aside><\/div><\/div><\/div><\/section><section id=\"nx-s-14-sec\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" aria-labelledby=\"nx-s-14\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">14<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Questions<\/span><\/div><h2 id=\"nx-s-14\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>What is a solvency capital requirement?<\/summary><div class=\"nx-answer\">The capital a supervisor requires an insurer to hold to absorb severe losses; Solvency II calibrates it to a one-in-two-hundred-year loss over one year.<\/div><\/details><details><summary>What is the Insurance Capital Standard?<\/summary><div class=\"nx-answer\">A group-wide prescribed capital requirement adopted by the IAIS for internationally active insurance groups, as the quantitative element of ComFrame.<\/div><\/details><details><summary>Why use an internal model?<\/summary><div class=\"nx-answer\">To reflect a firm's own risk profile more closely than a standard formula, subject to supervisory approval and ongoing validation.<\/div><\/details><details><summary>Is an internal model better than a standard formula?<\/summary><div class=\"nx-answer\">Not necessarily. It can fit a firm's risks better, but it adds model risk and needs strong validation.<\/div><\/details><details><summary>Does GRA review internal models?<\/summary><div class=\"nx-answer\">No. GRA does not review, validate or approve models.<\/div><\/details><details><summary>Why use expected shortfall?<\/summary><div class=\"nx-answer\">Because it reflects how bad losses are beyond the threshold, not only whether the threshold is crossed.<\/div><\/details><\/div><\/div><\/div><\/section><section id=\"nx-sec-nr-gateway\" class=\"nx-section\" data-hue=\"finance\" 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\">NR<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Nexus Reports gateway \u00b7 GW-GRA<\/span><\/div><h2 id=\"nx-nr-gateway-h\" class=\"nx-section-title\">Contribute to Nexus Reports from this page.<\/h2><p class=\"nx-lede\">Nexus Reports is the Consortium's quarterly publication. 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It can fit a firm's risks better, but it adds model risk and needs strong validation.\"}},{\"@type\":\"Question\",\"name\":\"Does GRA review internal models?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"No. GRA does not review, validate or approve models.\"}},{\"@type\":\"Question\",\"name\":\"Why use expected shortfall?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Because it reflects how bad losses are beyond the threshold, not only whether the threshold is crossed.\"}}]}]}<\/script>\n\n<!-- nx-rev:a3df1aaf72d4ec8e -->\n<!-- nx-path:\/topics\/capital-and-solvency-models\/ -->","protected":false},"excerpt":{"rendered":"<p>GRA \u00b7 Actuarial and Quantitative Risk Spatial financeWhere capital meets hazard, exposure and transition Capital and solvency models Capital and solvency models set how much capital insurers and other financial &hellip; <a href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/topics\/capital-and-solvency-models\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Capital and solvency models&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":53,"menu_order":153,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","meta":{"_buddyx_sub_header_visibility":"","_buddyx_sub_header_title_visibility":"","_hide_show_side_panel":"","_buddyxpro_page_sidebar":"","_buddyxpro_page_disable_header":"","_buddyxpro_page_disable_footer":"","_buddyxpro_page_content_width":"","_buddyxpro_page_header_style":"","_buddyxpro_page_color_mode":"","_buddyxpro_page_loader":"","footnotes":""},"class_list":["post-72","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/wp-json\/wp\/v2\/pages\/72","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/wp-json\/wp\/v2\/comments?post=72"}],"version-history":[{"count":2,"href":"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/wp-json\/wp\/v2\/pages\/72\/revisions"}],"predecessor-version":[{"id":181,"href":"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/wp-json\/wp\/v2\/pages\/72\/revisions\/181"}],"up":[{"embeddable":true,"href":"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/wp-json\/wp\/v2\/pages\/53"}],"wp:attachment":[{"href":"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/wp-json\/wp\/v2\/media?parent=72"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}