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F5\/s9XCNR1uN\/AxTKs3WvWkdlU7cCiV5Zv5L+e+Iz8kNRstXuIBMKEoNJuW9iBEaiBD7GUrJUA8K54DZlvngEyrwjEkdxY4yR02YTXK5RtRVWEND6RpPmTI+ZAi50O\/cgcSQq4Bw6BQKsFvYE+WbGhpDJOInEljC5g7DH0mjmkzwx5b0QnTmsAs0b9QQYMnwLRFrUoOPbPsfIPzwCkoA6uJ7T8lig+dB0LIiZjRQ3YWOEmJn8WbklDLKd42uTG6\/2PkqThEnuDVQjspPSXyIyCIZ6WHPcxpkjF0PaaaB2cpqGcvpG0b3Gv212tvY2leAhYhsyjMeAgniT1C0rUaJms1Klur4UvWaoRXY8GoRwJNRgXuxaxB4k23GhVQO\/2mo2Z64Omq550LDa\/ghTvUDo\/HqZqTm3mYEQyHMWUfuLY43brM4MYVY+L6QrFEkDAdzsg477r3V6bf\/otKLrzB+gkMQEXuPULGOfR2h9oYUHkXn8YrgJTrT7OdwqmE2hinE2MgElIEgK\/XmxOSKk1P9GSWYi44bewjaZof1cY+isY+po3Neh+Fg+k5FQ1GcBTWtG3V23r9W7OJfzZ+40t4ctwEXUYRimJMrq+d6OnwzmlxfLiOwLjM+72Vp\/tnz6CKsOsOtdvOXjfZ6F31YHuht9408zqVz7JKuvq3QkN5oXEL0bPG+qcXGOtnmWAJqHGyR8gsAfqJRIdZ72TbXP8EopEd+L5QOnzO9GVFA33rMLXQZz9BP\/eUmuEZTpV0clYR\/T6lMTvx3QmnKBeRNcmUgKVftc9S\/fAZdFOZjy0\/06ePyaEj2nE+Gnvq0cgiTdM6ihKoWACVqGf1K07+Yw+p3VMtwitfS4\/2BduSEAYjw6aex0VvU8iDzIiCeZyOYUGa5uIoTMawkCsT9hZ9XjXueX28yj2Wcdox6PY916d8iLmjnyUq5g6A8l1v\/GxjUWUBaAGVSzph4AJKBTMaKdtEIi+AqsCyoi2WxRyFUYGCSrOwEDO2e+Myuev\/f9CTnJdHLTim+EJZ\/FhpPXfcGcLmY4VujblhJhoVC3H7IFhrAg\/KQQFJHzmhmOYs348KaWF8UzzmD9WofBC2FTnQCY0mUp3lk14PibEJv169VFnGbIT7elqSQTGlQ+WTU9WCg3A\/4\/GUNE2aHbhp4mbi92i\/1+orXKmgdCt6P4aWDzZHxfGWN9HsmzlFG5ENm485QEZiRa3n2rdUx1450yGSW\/6Zunl9h1YOnUd51K1XfI+EEOVE1pChDqp9XZz+u8af9Jrr1+gipBGrgUstnaM2kqsbVo5tgLAZ5gZW3m8M3ipVX+qo9nV62Prt36iN3tPFNK51meU7VuTEyQfTysHbw4UXIS6siKVgvmDLgmhOK5XkgvCxnd+HXP4YssaC\/4GdP6w\/SpHgL65hXwhNe+NXvBqS5CFXpPGrNO6Npcq9sQANfP1XaC55l7YqBI16683xtiCDV9AIWAJ5C418ncavm0cp1sBgMynrV30o5BYz+c6CkIyEKJOxKW4t1YXrGFjQ\/84Y+mMFp+OEASCfw4iylYieWQmL+I2Ij7veeiU3CG1EHFCtN5zkFgAfZYDPKhcg33pVCRKrBCReASR\/a0AhFXqafbqiOR+UMlSXWirhOytgUL5LPTqjnnSyxUYcei7T0BolgNky0IlK3ONKrXLwNa4fZEIL2D69IyshlV5yGAqJxWUD0U1DOoL1mqA4lHanBXk\/nQxopIVAU9OdssunJDn4gzsJlb4kcgd1xip6GCxyJxpu0+RcO6yjdg3Vtai36K\/XiAOjhuoLnBx2kbIiNznzTGYOLeg\/mBv29VovBVS5SbTGXR5AX1t21OHsNI13o17b12Ea7dLV4IU30lvDr9L99pTlls42ihMSH81Wd1fC\/Ua0\/ZNUkFWLHLBL\/6kJGVTu0ISEoa1CTThw+HuE\/IRXPxHfZFTzE0vLRo5LTB\/WKHXdlVNUaAmlGuUIoUPfQAY+p7++YBFM8YxApRyoZM9\/a1U1tzWWwuWKpdq72LZC0OwpTVW0tS1A\/i\/hm0LVVLR09CUtZ0iP8u5tCtgTx7YqIsyXpQqzdUmaJc09ONQjybfwLlAFU4b0vxWh06e7bS0AIY+OqO\/UjmsgB8kd09drFZ9YQmhouQlp6FLPkVstERvX62zXSbjkvdgsLaGDLyPsY0IrT5KS\/OS1VEfjEh1V5isAhsCp5wG718bbiqqd9D\/VsC\/qqIHqEch\/De7uArosaKxEwHfcSeZnyU\/QvGQ504fCyuER9FfdTCTvpjawbqkGyQOiyj+WmKfCiMYxWKcSEHSkKwmvUAYFLt\/KQhHGqTVrkw1QMEI\/xwj97eOxPEkNpoxBEIrJi6TmsKZZUiU\/Zl6gjJEgvGVr42WfV94u8CrUFgVTyaay+jatW\/C1WGSWCkYjtF6nL2oIrxbbJoqSTlWTaZi2Wz5dgdGwK8q+0yiyXL8RDIdiX45xpbtIrmziWVIWD6CUy\/yFczvOz+04jqDDfuX4\/e2Nkl\/scXFJE2lFyvqLCmw1owxbCSGjDvdoleLWCIxD5ZqSxFJpiSLpUtzlKKoiZ5mJLMK9tLWD3len3\/vq6Eb\/54OC5JHwBjj9CpFTjifKIkZ0ES4iaqYOpRbOteERLUoESwPhXqsv6JOEvJA+o8wbREdgxpFW5gXxpU2mqVNRJhE9kw\/ydT3RxCUiZp56j7QLAZFbcmGw4MJdUH6CBDEXr27JbTarr6dah2hfndUvG1zXOntfHYxhonrmRHKbwboLDcMRkCT0eUgupCo4VR+3dO2iMcQHoHLmw\/tMWg3+NQzmWqtxq\/8COiP1wLSojzTr58+4PoYx3h61AKhl6s2u3AP56j6gXkVxHrxa7usm2FMYBTaNY9cfSR77GLqx+MUiy6biJ+ei4ueEssi1RWUbgnX76XvwFxJO\/Z0dmmnVwS2iL1BQs0xBXeaGx0+rPX9bP51TBQlHPSk5maVExM1iDWAWpcSLzxgIxB14U28iqoSsUe6OzMYRjceB57SNw9dKFNoSHN2W7MhNR7\/kHqERTXXgLust2VYw2glUPFErnojoKtY7Yf1nJqKooU+fkb3yxj9JPp7xdRHU4iX2Vu4Ss9vPFCeKVWFwW4GE04Z6ukSNtrWpcpUR1Cc9hITE7zX7UtH+PnCoalJ+EuOekSe1ADfoC9dioV+YyTMJfwJDvvh4ndMjNHX1ff2p0n2bKydmuz8fvlLXawwDdYfaEyEkdVXbeOSJb7EnvArVETVTdjcjTXOWGaxnqbF+Bshiy2CGJ7zibwDIZYxOcv9sR6j1q8K8i3UWWtpHwr3TPrcYfq7bQn\/VIfJJeTUfjXSw\/zOjG0+kaT5lMHlKYfKkwuRPvBprfypWLAHOdLEhRENv4vrhK\/1EJONJ3e8UJV09751\/TF4WMXC409tCmES5w0UCkx2BAtz16ojM8OokVyc1sV13Ph5tj\/xn401CnAv1NmPtRHq8y2OKwhQFCR7BaYXbHHZa6JSje9oUnN03mxET+767w2FXQAzp3WLYx\/NG2C5+UXjzRTVD6qrEvdfUW32FvN+SpnmbLdotLNpFStlp7zZbuJJTat7nfL1WywuSJwd+x2eTH\/JnPuT8F4Di54yxlPTJz69MoYB405VRDRYtFRiYNfBoqtCaWCxyF+rJ9hwY1Tk7slIonHNGdU81i\/bOgbPx8+IucaTEL9WDZj121E35n8ekb2qX9TwmvFPlTxGZ9pLxg2NanDC6CyGHQBQI30FX3VsppeNUJm01FYcoGNMDOwqyXcqSbXrGSEB7D6xfNoRICk5cc6POMoYWY3Z0ls4yTlt0KTljvZiVnoBFU0JkcWnHpUcXacCMrKUqsKXzIa0Mf9gRoZeM9RHG+siOvHT2j3ysp1TzaO8xWYYpI8gH845BJwPqgPfvhKKMctxmsRjlAczJmGhjHIDfs+6r8ogwBbKcKVCa9Xu0r2R8Wa\/hRWp9L90KQvTwpeQBvgvtSPcXlIsc2yHwMZelcpH4W8S95JTKAaCzxGHUB79oPhUwveofYEbw+OkHI3TtwAuiRmxD8+2aY0WPONEDcicfRkRAVAb6KR9\/4lgGigBeoPOp8ymJ6u0gaAi1kcedL9O\/SiDbd+45fQ0WHy6UMSxalBbiqYyurAKRWRVMIuHk48oSE2FyFnI6zx4ymDrOcoGSEVAl2EYIDxoP4eRz6oi5iFba\/J34jXP1LMfJVcrKtdUG5GGhZGsO5ECFY3\/pXJIiMFk15BtigYSWIh0Azn0sjFPOv8HHKOCHTc7tq2pJqJRVVF1n+BJzdJerCrt2pzkeLOawqXbuAGkP42Vht1UQI16+wYLRyKO1VDO3wy2He+XsVCxCgZK1EgsFrvlbih2O5vm0G8+5lQPVa8vJrhzKLNdri5RRbLNJHca9ZP\/\/IU4u0MUfRHGk9LosiKwRR64rRifaNKUdDK9ELRAO\/oAdIPZnh\/8WGMt\/ilBONY7yj+ycdFkepa2CXXLIq1zyp3v+qTsO5r7wVkx113tXDK+KruAyaFg4g++i9ZKSzV0gQZFeM2xv0Nh6KVFWvOErp9eM0JVIDM\/yG8I5S03i9AdOlVEAng9L8L2JQ88C52Ofp0lA7iQMImbxQ4VgZA6tzLDBV5qLbTRK2OU4TdWRQuWy46RM+TLnoHP5o2MyL9Nl37vs7F2xzp5D83GyPK1WRQD+mEZB7ZhrbKTjMWhtIF1CmVhqU5\/u\/tpwwV+2skxkTXiXoJOoKEOLg+HRywyvblhZriY1LZO+f+S4sxonasK\/RkXcGrdPo1EUTENU42TAswaQnuQkDKkVWb5Na8FQBA2F1oii4yNBY2qAtSQxBdRSApFssppKU4gkFMfX8O3o64Go9nxbfJOWN\/XWih5\/oCW+x8tb6vL0NkpbXw8cd3a8D3h0w57f\/Pzwcdm5YhXomy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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-n1im2859.nxe :where(*,*::before,*::after){box-sizing:inherit}#nxe-n1im2859.nxe :where(section,header,footer,nav,aside){display:block;margin:0 0 32px}#nxe-n1im2859.nxe :where(h1,h2,h3,h4){line-height:1.2;margin:24px 0 12px;font-weight:600}#nxe-n1im2859.nxe :where(p,ul,ol,dl,table,figure,details){margin:0 0 16px}#nxe-n1im2859.nxe :where(ul,ol){padding-left:20px}#nxe-n1im2859.nxe a{color:inherit;text-decoration:underline;text-underline-offset:2px}#nxe-n1im2859.nxe table{border-collapse:collapse;width:100%;display:block;overflow-x:auto}#nxe-n1im2859.nxe :where(th,td){padding:6px 8px;text-align:left;vertical-align:top;border-bottom:1px solid;border-color:inherit}#nxe-n1im2859.nxe svg{display:none}#nxe-n1im2859.nxe svg.nx-i{display:inline-block;width:18px;height:18px;vertical-align:-3px}#nxe-n1im2859.nxe :where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-n1im2859.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\">Methods and uncertainty<\/h1><p class=\"nx-scene-lede\">Actuarial and Quantitative Risk compares the core methods of the field: frequency-severity models, extreme value theory, credibility, copulas and dependence, stochastic scenario generation and model validation. This page states each method&#8217;s assumptions and where it fails.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/write-to-us\/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\/research\/\">Back to Research and evidence<\/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\">Sequence<\/span><\/div><h2 id=\"nx-s-1\" class=\"nx-section-title\">The order things happen in.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-es-fig\" data-es-layout=\"timeline\"><div class=\"nx-hero-rail\"><ol class=\"nx-lv-rail\"><li><div><span class=\"nx-lv-rail-k\">01<\/span><span class=\"nx-lv-rail-t\">Draft<\/span><span class=\"nx-lv-rail-n\">sources cited, labels attached<\/span><\/div><\/li><li><div><span class=\"nx-lv-rail-k\">02<\/span><span class=\"nx-lv-rail-t\">Evidence check<\/span><span class=\"nx-lv-rail-n\">every value traced<\/span><\/div><\/li><li><div><span class=\"nx-lv-rail-k\">03<\/span><span class=\"nx-lv-rail-t\">Independent review<\/span><span class=\"nx-lv-rail-n\">conflicts declared<\/span><\/div><\/li><li><div><span class=\"nx-lv-rail-k\">04<\/span><span class=\"nx-lv-rail-t\">Edition<\/span><span class=\"nx-lv-rail-n\">published with its limits<\/span><\/div><\/li><li><div><span class=\"nx-lv-rail-k\">05<\/span><span class=\"nx-lv-rail-t\">Correction<\/span><span class=\"nx-lv-rail-n\">a new version, never a silent edit<\/span><\/div><\/li><\/ol><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-methods\" 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\">Methods<\/span><\/div><h2 id=\"nx-s-2\" class=\"nx-section-title\">The methods in use.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-methods\"><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=\"Canonical \u00b7 STEM Commons: Actuarial mathematics\">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\">02<\/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=\"Canonical \u00b7 STEM Commons: Extreme value theory and tail risk\">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\/probability-statistics\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">03<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Probability and statistics<\/span><span class=\"nx-mledger-role\">Generalised linear models in pricing \u00b7 Bayesian credibility \u00b7 Goodness-of-fit testing<\/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\/probability-statistics\/\" aria-label=\"Canonical \u00b7 STEM Commons: Probability and statistics\">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\">04<\/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=\"Canonical \u00b7 STEM Commons: Uncertainty quantification and model validation\">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\">05<\/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=\"Canonical \u00b7 STEM Commons: Financial and risk engineering\">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\">06<\/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=\"Canonical \u00b7 STEM Commons: High-performance, cloud and edge computing\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><\/ol><\/div><\/div><\/div><\/section><div class=\"nx-live-slot\" data-nxf-slot=\"search\" data-nxf-kind=\"search\" data-nxf-resource=\"nexus:\/\/gra\/A-P11\/research\/methods\/#search\" data-nxf-title=\"Search publications\" data-nxf-height=\"520\" hidden><\/div><section id=\"nx-sec-pg-nx-gra-ap11-me-evt\" class=\"nx-section\" data-hue=\"finance\" data-variant=\"split\" 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\">Extreme value methods in<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">Extreme value methods in brief.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th>Method<\/th><th>Assumption<\/th><th>Typical use<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Method\">Block maxima with the generalised extreme value distribution<\/td><td data-label=\"Assumption\">Maxima of large blocks are approximately GEV<\/td><td data-label=\"Typical use\">Annual maximum floods, wind speeds<\/td><\/tr><tr><td data-label=\"Method\">Peaks over threshold with the generalised Pareto distribution<\/td><td data-label=\"Assumption\">Excesses over a high threshold are approximately GPD<\/td><td data-label=\"Typical use\">Large claims, operational losses<\/td><\/tr><tr><td data-label=\"Method\">Non-stationary extreme value models<\/td><td data-label=\"Assumption\">Parameters vary with covariates such as time or temperature<\/td><td data-label=\"Typical use\">Climate-affected perils<\/td><\/tr><tr><td data-label=\"Method\">Credibility theory<\/td><td data-label=\"Assumption\">Blend own experience with a collective<\/td><td data-label=\"Typical use\">Sparse portfolios<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/gra\/A-P11\/research\/methods\/#evidence\" data-nxf-title=\"Evidence records\" data-nxf-height=\"520\" hidden><\/div><section id=\"nx-s-4-sec\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" 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\">Process<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">How the process runs.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><div class=\"nx-pe\" id=\"nx-pe-prisma\" data-nx-pe=\"nx-pe-prisma\" data-active=\"prisma\"><div class=\"nx-pe-shell\"><p class=\"nx-pe-eb\">Process<\/p><h2 class=\"nx-pe-title\">Methods and uncertainty: PRISMA 2020 review reporting<\/h2><p class=\"nx-pe-cap\">PRISMA 2020 is a reporting guideline for systematic reviews; the steps follow its checklist, not a mandated sequence, and no Nexus document adopts it.<\/p><ol class=\"nx-pe-steps\"><li class=\"nx-pe-lane\"><h3 class=\"nx-pe-lane-t\">01 Plan<\/h3><ol><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">01<\/span><span class=\"nx-pe-st\">Registration and protocol<\/span><span class=\"nx-pe-k\">Record \u00b7 The review team<\/span><span class=\"nx-pe-sm\">The guideline asks for registration details, access to the protocol and any amendments.<\/span><\/li><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">02<\/span><span class=\"nx-pe-st\">Eligibility criteria<\/span><span class=\"nx-pe-k\">Record \u00b7 The review team<\/span><span class=\"nx-pe-sm\">The guideline asks for the inclusion and exclusion criteria and how studies were grouped.<\/span><\/li><\/ol><\/li><li class=\"nx-pe-lane\"><h3 class=\"nx-pe-lane-t\">02 Find and select<\/h3><ol><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">03<\/span><span class=\"nx-pe-st\">Search: sources and strategies<\/span><span class=\"nx-pe-k\">Step \u00b7 The review team<\/span><span class=\"nx-pe-sm\">The guideline asks for the information sources and the full search strategies. It does not fix which sources are used.<\/span><\/li><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">04<\/span><span class=\"nx-pe-st\">Selection of studies<\/span><span class=\"nx-pe-k\">Step \u00b7 The review team<\/span><span class=\"nx-pe-sm\">The guideline asks how studies were judged eligible, including how many reviewers screened. It does not fix the number of reviewers.<\/span><\/li><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">05<\/span><span class=\"nx-pe-st\">Flow diagram<\/span><span class=\"nx-pe-k\">Record<\/span><span class=\"nx-pe-sm\">The flow diagram shows the number of records found, the number of studies included and the reasons for exclusion.<\/span><\/li><\/ol><\/li><li class=\"nx-pe-lane\"><h3 class=\"nx-pe-lane-t\">03 Analyse<\/h3><ol><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">06<\/span><span class=\"nx-pe-st\">Data collection<\/span><span class=\"nx-pe-k\">Step \u00b7 The review team<\/span><span class=\"nx-pe-sm\">The guideline asks how data were collected from reports and which data items were sought.<\/span><\/li><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">07<\/span><span class=\"nx-pe-st\">Risk of bias<\/span><span class=\"nx-pe-k\">Step \u00b7 The review team<\/span><span class=\"nx-pe-sm\">The guideline asks for the methods and tools used to assess risk of bias.<\/span><\/li><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">08<\/span><span class=\"nx-pe-st\">Synthesis<\/span><span class=\"nx-pe-k\">Model \u00b7 The review team<\/span><span class=\"nx-pe-sm\">The guideline asks for the effect measures and the synthesis methods. It does not prescribe meta-analysis.<\/span><\/li><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">09<\/span><span class=\"nx-pe-st\">Certainty of evidence<\/span><span class=\"nx-pe-k\">Step \u00b7 The review team<\/span><span class=\"nx-pe-sm\">The guideline asks for the methods used to assess certainty, and reports the result per outcome. It does not name a grading scale.<\/span><\/li><\/ol><\/li><li class=\"nx-pe-lane\"><h3 class=\"nx-pe-lane-t\">04 Report<\/h3><ol><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">10<\/span><span class=\"nx-pe-st\">Review report<\/span><span class=\"nx-pe-k\">Record<\/span><span class=\"nx-pe-sm\">The guideline helps authors report why the review was done, what they did and what they found.<\/span><\/li><\/ol><\/li><\/ol><p class=\"nx-pe-foot\"><span><a class=\"nx-link\" href=\"https:\/\/docs.therisk.global\/organization\/programme\/reports\" rel=\"noopener\">Reports<\/a><\/span><span>Outline of an externally published reporting guideline, not a Nexus process and not a record of operation. PRISMA 2020 mainly covers reviews of intervention effects. No Nexus page names it. Every programme is at service level R0.<\/span><\/p><\/div><\/div><\/div><\/div><\/div><\/section><section class=\"nx-section\" data-band=\"auto\" data-band-id=\"nx-band-1\" data-hue=\"finance\" aria-label=\"Capital models, Uncertainty, Sources, 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=\"Capital models, Uncertainty, Sources, Questions\"><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-1\" aria-controls=\"nx-sec-pg-nx-gra-ap11-me-capital\" aria-selected=\"true\" data-key=\"p1\">Capital models<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-2\" aria-controls=\"nx-sec-uncertainty\" aria-selected=\"false\" data-key=\"p2\">Uncertainty<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-3\" aria-controls=\"nx-sec-pg-sources\" aria-selected=\"false\" data-key=\"p3\">Sources<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-4\" aria-controls=\"nx-s-8-sec\" aria-selected=\"false\" data-key=\"p4\">Questions<\/button><\/div><section id=\"nx-sec-pg-nx-gra-ap11-me-capital\" class=\"nx-section nx-band-panel\" data-hue=\"finance\" data-variant=\"split\" aria-labelledby=\"nx-s-5\" 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\">05<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Capital models<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">Standard formula versus internal model.<\/h2><\/div><div class=\"nx-section-body\"><p class=\"nx-p\">Standard formulas apply fixed calibrations; internal models use the firm&#8217;s own distributions and require supervisory approval. Both rest on tail estimates whose uncertainty should be shown. Topic depth at <a class=\"nx-link\" href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/topics\/capital-and-solvency-models\/\">capital and solvency models<\/a>.<\/p><\/div><\/div><\/section><section id=\"nx-sec-uncertainty\" class=\"nx-section nx-band-panel\" data-hue=\"project\" data-variant=\"stack\" aria-labelledby=\"nx-s-6\" 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\">06<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Uncertainty<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">How uncertainty is reported.<\/h2><\/div><div class=\"nx-section-body\" data-lv=\"timeline\"><ol class=\"nx-rows\"><li><span class=\"nx-eyebrow nx-index\">01<\/span><div><h3 class=\"nx-h4\">State assumptions<\/h3><p class=\"nx-p nx-mt-1\">Each analysis lists its assumptions and the data it depends on.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">02<\/span><div><h3 class=\"nx-h4\">Quantify where possible<\/h3><p class=\"nx-p nx-mt-1\">Ranges and confidence are reported alongside central estimates.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">03<\/span><div><h3 class=\"nx-h4\">Validate and compare<\/h3><p class=\"nx-p nx-mt-1\">Models are checked against observations and, where possible, against other models.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">04<\/span><div><h3 class=\"nx-h4\">Publish limits<\/h3><p class=\"nx-p nx-mt-1\">What an analysis cannot show is stated beside what it can.<\/p><\/div><\/li><\/ol><\/div><\/div><\/section><section id=\"nx-sec-pg-sources\" class=\"nx-section nx-band-panel\" data-hue=\"finance\" data-variant=\"split\" aria-labelledby=\"nx-s-7\" 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\">07<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Sources<\/span><\/div><h2 id=\"nx-s-7\" 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:\/\/eur-lex.europa.eu\/eli\/dir\/2009\/138\/oj\"><span>Solvency II Directive 2009\/138\/EC as amended by the 2025 review (apply from 30 January 2027)<\/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.iais.org\/activities-topics\/standard-setting\/icps-and-comframe\/\"><span>IAIS Insurance Core Principles and ComFrame, including the Insurance Capital Standard (adopted December 2024)<\/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-8-sec\" class=\"nx-section nx-band-panel\" data-hue=\"project\" aria-labelledby=\"nx-s-8\" role=\"tabpanel\" data-band-tab=\"nx-band-1-tab-4\"><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\">Questions<\/span><\/div><h2 id=\"nx-s-8\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>Are the methods open?<\/summary><div class=\"nx-answer\">Method descriptions are public on the STEM Commons. Code and data follow their own licences and access terms, listed in the source register.<\/div><\/details><\/div><\/div><\/div><\/section><\/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\">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\">Reports 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\/methods#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. A contribution is reviewed before use; sending it confers no authorship or editorial rights, and sponsorship never buys a finding.<\/p><\/div><\/div><\/section><section class=\"nx-section nx-deeper-band\" aria-labelledby=\"nx-deeper-com-actuarial-quantitative-risk-research-methods-h\"><div class=\"nx-container\"><nav class=\"nx-deeper\" aria-labelledby=\"nx-deeper-com-actuarial-quantitative-risk-research-methods-h\" data-nx-deeper=\"3\" data-nx-resources=\"1 1 1\"><h2 class=\"nx-deeper-h\" id=\"nx-deeper-com-actuarial-quantitative-risk-research-methods-h\">Go deeper<\/h2><ul><li><a href=\"https:\/\/docs.therisk.global\/organization\/model\/sectors\/water#what-water-gives\" data-ext><span class=\"nx-deeper-k\">Documentation:<\/span> Water<span class=\"nx-deeper-x\" aria-hidden=\"true\">\u2197<\/span><span class=\"nx-deeper-sr\"> (opens another site)<\/span><\/a><\/li><li><a href=\"https:\/\/risksacademy.com\/finance-economics\/actuarial-science\/\" data-ext><span class=\"nx-deeper-k\">Academy:<\/span> Actuarial science<span class=\"nx-deeper-x\" aria-hidden=\"true\">\u2197<\/span><span class=\"nx-deeper-sr\"> (opens another site)<\/span><\/a><\/li><li><a href=\"https:\/\/nexustandards.com\/finance\/financial-and-economic-risk-standards\/\" data-ext><span class=\"nx-deeper-k\">Standards:<\/span> Financial and economic risk standards<span class=\"nx-deeper-x\" aria-hidden=\"true\">\u2197<\/span><span class=\"nx-deeper-sr\"> (opens another site)<\/span><\/a><\/li><\/ul><\/nav><\/div><\/section><section class=\"nx-closing\" aria-labelledby=\"nx-close-9\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Actuarial and Quantitative Risk<\/span><h2 id=\"nx-close-9\" class=\"nx-section-title\">Bring an exposure or capital question to the Alliance.<\/h2><p class=\"nx-lede\">Information and enquiries are open today. 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