{"id":32,"date":"2026-11-01T16:44:06","date_gmt":"2026-11-01T16:44:06","guid":{"rendered":"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/?page_id=32"},"modified":"2026-11-01T16:44:06","modified_gmt":"2026-11-01T16:44:06","slug":"interdependencies","status":"publish","type":"page","link":"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/field\/interdependencies\/","title":{"rendered":"Dependencies and consequences"},"content":{"rendered":"\n<!-- Nexus network page \u00b7 https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/field\/interdependencies\/ \u00b7 source authored \u00b7 generated by integrations\/wordpress\/network\/build.mjs, never edit this file --><script>window.nexusLiveStrings={\"label\":\"Load the live map\",\"note\":\"Imagery and feeds come from other services (NASA, USGS, OpenStreetMap) and load only when you ask.\"};<\/script><script>(function(){\"use strict\";var n=window,l=document,y=\"nexus.live-map\",$=\"nexus.live-map.reload\";if(n.NXLive){return}var E=[\/(^|\\.)gibs\\.earthdata\\.nasa\\.gov$\/i,\/(^|\\.)eonet\\.gsfc\\.nasa\\.gov$\/i,\/(^|\\.)power\\.larc\\.nasa\\.gov$\/i,\/(^|\\.)earthquake\\.usgs\\.gov$\/i,\/(^|\\.)open-meteo\\.com$\/i,\/(^|\\.)openfreemap\\.org$\/i,\/(^|\\.)openstreetmap\\.org$\/i,\/(^|\\.)cartocdn\\.com$\/i,\/(^|\\.)arcgisonline\\.com$\/i,\/(^|\\.)maplibre\\.org$\/i,\/(^|\\.)protomaps\\.com$\/i,\/(^|\\.)versatiles\\.org$\/i,\/(^|\\.)amazonaws\\.com$\/i,\/(^|\\.)raw\\.githubusercontent\\.com$\/i,\/(^|\\.)media\\.githubusercontent\\.com$\/i,\/(^|\\.)geoboundaries\\.org$\/i,\/(^|\\.)jsdelivr\\.net$\/i,\/(^|\\.)unpkg\\.com$\/i,\/(^|\\.)cdn[j]s\\.cloudflare\\.com$\/i,\/(^|\\.)googleapis\\.com$\/i,\/(^|\\.)gstatic\\.com$\/i];var C=[\/(^|\\.)amazonaws\\.com$\/i];var b=n.nexusLiveStrings?n.nexusLiveStrings:{};var A={label:b.label?b.label:\"Load the live map\",note:b.note?b.note:\"Imagery and feeds come from other services (NASA, USGS, OpenStreetMap) and load only when you ask.\"};var I=[\"experience\",\"external\",\"optional-content\",\"embeds\",\"media\"];var p=[],u=[],k=0;function j(){try{if(n.localStorage.getItem(y)===\"1\"){return true}}catch(e){}try{return n.sessionStorage.getItem(y)===\"1\"}catch(e){return false}}function S(){var e=n.nexusConsent;if(!e){return null}return typeof e.allows===\"function\"?e:null}function z(){var e=n.nexusConsent;if(!e){return false}if(typeof e.granted!==\"function\"){return false}for(var t=0;t<I.length;t++){try{if(e.granted(I[t])){return true}}catch(r){}}return false}function d(e){var t=S();if(t){try{return t.allows(e?e:\"maps\")===true}catch(r){return false}}return j()?true:z()}function D(e){try{var t=e?typeof e===\"string\"?e:e.url?e.url:e.href?e.href:String(e):\"\";var r=new URL(t,l.baseURI);if(r.protocol!==\"http:\"){if(r.protocol!==\"https:\"){return\"\"}}return r.origin===n.location.origin?\"\":r.hostname}catch(o){return\"\"}}function X(e){for(var t=0;t<C.length;t++){if(C[t].test(e)){return\"globe\"}}return\"maps\"}function f(e){var t=D(e);if(!t){return false}var r=false;for(var o=0;o<E.length;o++){if(E[o].test(t)){r=true;break}}if(!r){return false}if(d(X(t))){return false}k++;return true}var w=0;function c(){if(w){return}w=setTimeout(function(){w=0;L()},250)}function v(e){setTimeout(function(){try{e.dispatchEvent(new Event(\"error\"))}catch(t){}},0)}var N=n.fetch;if(N){n.fetch=function(e){if(f(e)){c();return Promise.reject(new TypeError(\"Blocked until the live map is loaded\"))}return N.apply(this,arguments)}}var g=n.XMLHttpRequest?n.XMLHttpRequest.prototype:null;if(g){var K=g.open,_=g.send;g.open=function(e,t){this.__nxLiveUrl=t;return K.apply(this,arguments)};g.send=function(){if(f(this.__nxLiveUrl)){c();v(this);return}return _.apply(this,arguments)}}var h=n.HTMLImageElement?Object.getOwnPropertyDescriptor(n.HTMLImageElement.prototype,\"src\"):null;if(h){if(h.set){Object.defineProperty(n.HTMLImageElement.prototype,\"src\",{configurable:true,enumerable:h.enumerable,get:h.get,set:function(e){if(f(e)){c();v(this);return}h.set.call(this,e)}})}}var O=n.Element?n.Element.prototype.setAttribute:null;if(O){n.Element.prototype.setAttribute=function(e,t){if(e===\"src\"){if(this.tagName===\"IMG\"){if(f(t)){c();v(this);return}}}return O.apply(this,arguments)}}function M(e){if(!e){return false}if(e.tagName===\"SCRIPT\"){return f(e.src)}if(e.tagName===\"LINK\"){return f(e.href)}return false}if(n.Node){var G=n.Node.prototype.appendChild,Y=n.Node.prototype.insertBefore;n.Node.prototype.appendChild=function(e){if(M(e)){c();v(e);return e}return G.apply(this,arguments)};n.Node.prototype.insertBefore=function(e){if(M(e)){c();v(e);return e}return Y.apply(this,arguments)}}var R='[data-nx-map=\"ctx-field\"],[data-nx-le],[data-nx-eo],[data-grx-globe],[data-grx-obs]';function T(){var e=[l];var t=l.querySelectorAll(\"*\");for(var r=0;r<t.length;r++){if(t[r].shadowRoot){e.push(t[r].shadowRoot)}}return e}function B(){var e=S();if(e){if(typeof e.enable===\"function\"){try{e.enable(\"maps\",\"site\")}catch(t){}try{e.enable(\"globe\",\"site\")}catch(t){}m();return}}try{n.localStorage.setItem(y,\"1\")}catch(t){try{n.sessionStorage.setItem(y,\"1\")}catch(r){}}m()}function F(e,t){var r=e.createElement(\"button\");r.type=\"button\";r.textContent=A.label;r.setAttribute(\"style\",\"pointer-events:auto;min-height:44px;min-width:44px;padding:0 18px;cursor:pointer;font:inherit;font-weight:600;font-size:14px;line-height:1.2;border-radius:2px;border:1px solid var(--nx-border-strong,#8a8a8a);background:var(--nx-text-primary,#111);color:var(--nx-bg-canvas,#fff)\");var o=\"nx-live-note-\"+Math.floor(Math.random()*1e9);r.setAttribute(\"aria-describedby\",o);r.addEventListener(\"click\",B);r.addEventListener(\"focus\",function(){r.style.outline=\"2px solid var(--nx-focus,#4c9aff)\";r.style.outlineOffset=\"2px\"});r.addEventListener(\"blur\",function(){r.style.outline=\"\"});var a=e.createElement(\"span\");a.id=o;a.textContent=A.note;a.setAttribute(\"style\",\"pointer-events:none;font-size:12px;line-height:1.4;padding:3px 7px;border-radius:2px;background:var(--nx-bg-canvas,#fff);color:var(--nx-text-secondary,#333);border:1px solid var(--nx-border-hairline,#bbb);max-width:34em\");t.appendChild(r);t.appendChild(a)}function W(e){var t=e.ownerDocument;var r=t.createElement(\"div\");r.className=\"nx-live-gate\";r.setAttribute(\"style\",\"position:absolute;inset-block-start:10px;inset-inline-start:10px;z-index:6;display:flex;flex-direction:column;align-items:flex-start;gap:6px;max-width:calc(100% - 20px);pointer-events:none;font:inherit\");var o=S();var a=false;if(o){if(typeof o.placeholder===\"function\"){try{var s=t.createElement(\"div\");s.setAttribute(\"style\",\"pointer-events:auto\");r.appendChild(s);o.placeholder(s,\"maps\");a=s.childNodes.length>0;if(!a){r.removeChild(s)}}catch(i){a=false}}}if(!a){F(t,r)}return r}function L(){if(d(\"maps\")){return}var e=T();for(var t=0;t<e.length;t++){var r=e[t].querySelectorAll(R);for(var o=0;o<r.length;o++){var a=r[o];if(a.getAttribute(\"data-nx-live-gate\")){continue}if(a.closest(\".nx-live-gate\")){continue}var s=a.getBoundingClientRect();if(s.width<120){continue}var i=a.querySelector(\".le-stage,.eo-stage\");if(!i){if(a.hasAttribute(\"data-nx-le\")||a.hasAttribute(\"data-nx-eo\")){continue}i=a}a.setAttribute(\"data-nx-live-gate\",\"1\");var H=n.getComputedStyle(i);if(H.position===\"static\"){i.style.position=\"relative\"}var U=W(i);i.appendChild(U);u.push({host:a,wrap:U,stage:i})}}J()}function J(){for(var e=0;e<u.length;e++){var t=u[e].stage,r=t?t.querySelector(\".nx-wm-presets\"):null;var o=r?r.getBoundingClientRect():null;if(o?o.height>0:false){var a=Math.round(o.bottom-t.getBoundingClientRect().top+8)+\"px\";if(u[e].wrap.style.insetBlockStart!==a){u[e].wrap.style.insetBlockStart=a}}}}function Q(){for(var e=0;e<u.length;e++){try{u[e].wrap.remove()}catch(t){}try{u[e].host.removeAttribute(\"data-nx-live-gate\")}catch(t){}}u=[]}function V(e,t,r){p.push({name:e,selector:t,fn:r});if(x){try{r(\"on\")}catch(o){}}}function Z(e){for(var t=0;t<p.length;t++){try{p[t].fn(e)}catch(r){}}}function ee(){var e=[],t=T();for(var r=0;r<t.length;r++){var o=t[r].querySelectorAll(R);for(var a=0;a<o.length;a++){var s=false;for(var i=0;i<p.length;i++){try{if(o[a].matches(p[i].selector)){s=true;break}}catch(H){}}if(!s){e.push(o[a])}}}return e}function te(e){if(k===0){return}if(ee().length===0){return}var t=e?\"on\":\"off\";try{if(n.sessionStorage.getItem($)===t){return}n.sessionStorage.setItem($,t)}catch(r){return}n.location.reload()}var x=d(\"maps\");function m(){var e=d(\"maps\");if(e===x){if(!e){c()}return}x=e;if(e){Q()}Z(e?\"on\":\"off\");if(!e){c()}try{l.dispatchEvent(new CustomEvent(\"nexus:live-map\",{detail:{granted:e}}))}catch(t){}te(e)}function q(){L();if(n.MutationObserver){var e=new n.MutationObserver(function(){if(x){return}c()});e.observe(l.documentElement,{childList:true,subtree:true});setTimeout(function(){e.disconnect()},2e4)}}if(l.readyState===\"loading\"){l.addEventListener(\"DOMContentLoaded\",q)}else{q()}n.addEventListener(\"load\",function(){setTimeout(L,400)});l.addEventListener(\"nexus-consent:ready\",m);l.addEventListener(\"nexus-consent:change\",m);var P=0;var re=setInterval(function(){P++;m();if(P>40){clearInterval(re)}},400);n.NXLive={allowed:d,blocked:f,grant:B,register:V,hosts:E.length}})();<\/script><style>.clb-color-switcher, .bx-color-mode-toggle, .color-switcher, .page-headline { display: none !important; }<\/style><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-fig-engine\" data-nx-run=\"fig\" data-nx-src=\"nexus-embed-fig.e0043d1c48f4.js\" data-nx-sri=\"sha256-4AQ9HEj0t7DeCXoXRqlCRLwincTWj8Q0KfAo+eCw1Xc=\"><\/script><script type=\"application\/json\" class=\"_iub_cs_skip\" id=\"nxe-gl-sf-cat-ep\" data-nx-pack=\"deflate\">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<\/script><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-sf-engine\" data-nx-run=\"sf\" data-nx-asset=\"run-sf.dbf55ee3b3f0.txt\" data-nx-sri=\"sha256-2\/Ve47PwoYhiZwzTsJQmBD2oaKls9UcvpivMq6SqpCY=\"><\/script><script type=\"application\/json\" class=\"_iub_cs_skip\" id=\"nxe-assets\">{\"nxe-es-code\":{\"f\":\"es-code.d470dc7571c5.txt\",\"s\":\"sha256-1HDcdXHFCxvm20tlR9FHTN8XvrJhNFlbW03tKxwWJ8I=\",\"a\":\"\"},\"nxe-gl-base-od\":{\"f\":\"gl-base-od.e0622a96e899.txt\",\"s\":\"sha256-4GIqluiZJntyAGfMYGNoAXwwxMKhdab+7YEFBoLlZ5o=\",\"a\":\" data-nx-pack=\\\"deflate\\\"\"},\"nxe-map-context\":{\"f\":\"map-context.a965226720a1.txt\",\"s\":\"sha256-qWUiZyChbKiTtLWpFCZROVpB5QISXNBKfepOJ+zOkWA=\",\"a\":\" data-nx-pack=\\\"deflate\\\"\"},\"nxe-map-pool\":{\"f\":\"map-pool.c31dae84875a.txt\",\"s\":\"sha256-wx2uhIda8fEz4BK1sUQO7edPcs22Bvn4FE0NpYLDyEo=\",\"a\":\" data-nx-pack=\\\"deflate\\\"\"},\"nxe-ml-src-code\":{\"f\":\"ml-src-code.5a99eb24c979.txt\",\"s\":\"sha256-WpnrJMl5+Rt6GCPchYzz9V8Fw\/mt0BVdtedF3t\/o0+o=\",\"a\":\"\"},\"nxe-xt-code\":{\"f\":\"xt-code.371023489e89.txt\",\"s\":\"sha256-NxAjSJ6JoGGZsXu22d+kvA4nR9AJ6Njy+\/Xy2FIyELw=\",\"a\":\"\"}}<\/script><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-mount\" data-nx-run=\"mount\">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<\/script><script class=\"_iub_cs_skip\" id=\"nxe-boot\" data-od=\"NxAjSJ6JoGGZsXu22d+kvA4nR9AJ6Njy+\/Xy2FIyELw=\">if(typeof window.__nxStill!==\"function\")window.__nxStill=function(){try{if(document.documentElement.hasAttribute(\"data-nx-still\"))return true;if(document.body?\/(?:^|\\s)mdp-readabler-stop-animations(?:\\s|$)\/.test(document.body.className):false)return true;var g=JSON.parse(window.localStorage.getItem(\"readabler\")||\"{}\");return g?g.stopAnimations===true||g.stopAnimations===\"true\"||g.stopAnimations===1:false}catch(G){return false}};(function(){function g(e,a){var f=atob(e),s=new Uint8Array(f.length),r;for(r=0;r< f.length;r++){s[r]=f.charCodeAt(r)}var o=0,i=0,u=0,n=new Uint8Array(Math.max(1024,s.length*6)),t=0;var c=[3,4,5,6,7,8,9,10,11,13,15,17,19,23,27,31,35,43,51,59,67,83,99,115,131,163,195,227,258];var d=[0,0,0,0,0,0,0,0,1,1,1,1,2,2,2,2,3,3,3,3,4,4,4,4,5,5,5,5,0];var m=[1,2,3,4,5,7,9,13,17,25,33,49,65,97,129,193,257,385,513,769,1025,1537,2049,3073,4097,6145,8193,12289,16385,24577];var y=[0,0,0,0,1,1,2,2,3,3,4,4,5,5,6,6,7,7,8,8,9,9,10,10,11,11,12,12,13,13];var ct=[16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15];function b(w){while(u< w){if(o>=s.length){throw new Error(\"nx-inflate: truncated\")}i|=s[o++]<< u;u+=8}var h=i%(1<< w);i>>>=w;u-=w;return h}function S(w,h,A){var v=new Uint16Array(16),_=new Uint16Array(16),p=new Uint16Array(A),x;for(x=0;x< A;x++){v[w[h+x]]++}v[0]=0;for(x=1;x<16;x++){_[x]=_[x-1]+v[x-1]}for(x=0;x< A;x++){if(w[h+x]){p[_[w[h+x]]++]=x}}return{count:v,sym:p}}function X(w){var h=0,A=0,v=0,_,p;for(_=1;_<16;_++){h|=b(1);p=w.count[_];if(h-p< A){return w.sym[v+(h-A)]}v+=p;A+=p;A<<=1;h<<=1}throw new Error(\"nx-inflate: bad code\")}function B(w){if(t+w<=n.length){return}var h=new Uint8Array(Math.max(n.length*2,t+w));h.set(n.subarray(0,t));n=h}var j=null,W=null,Y=0;while(!Y){Y=b(1);var q=b(2),J,H;if(q===0){i=0;u=0;var D=s[o]|s[o+1]<<8;o+=4;B(D);n.set(s.subarray(o,o+D),t);t+=D;o+=D;continue}if(q===1){if(!j){var Z=new Uint8Array(288),k=new Uint8Array(30);for(r=0;r<288;r++){Z[r]=r<144?8:r<256?9:r<280?7:8}for(r=0;r<30;r++){k[r]=5}j=S(Z,0,288);W=S(k,0,30)}J=j;H=W}else if(q===2){var F=b(5)+257,tt=b(5)+1,dt=b(4)+4,N=new Uint8Array(320),nt=new Uint8Array(19);for(r=0;r< dt;r++){nt[ct[r]]=b(3)}var lt=S(nt,0,19),U=0;while(U< F+tt){var O=X(lt),R=0,et=0;if(O<16){N[U++]=O;continue}if(O===16){if(!U){throw new Error(\"nx-inflate: bad repeat\")}et=N[U-1];R=3+b(2)}else if(O===17){R=3+b(3)}else{R=11+b(7)}while(R--){N[U++]=et}}J=S(N,0,F);H=S(N,F,tt)}else{throw new Error(\"nx-inflate: bad block\")}for(;;){var E=X(J);if(E<256){B(1);n[t++]=E;continue}if(E===256){break}E-=257;var rt=c[E]+b(d[E]),at=X(H),it=m[at]+b(y[at]);if(it>t){throw new Error(\"nx-inflate: bad distance\")}B(rt);for(var ot=0;ot< rt;ot++){n[t]=n[t-it];t++}}}return a?n.subarray(0,t):new TextDecoder(\"utf-8\").decode(n.subarray(0,t))}if(typeof window.__nxInflate!==\"function\"){window.__nxInflate=g}function G(e){var a=g(e,true),f=a[0]|a[1]<<8|a[2]<<16|a[3]<<24;var s=a.subarray(4+f);function r(o,i){var u=\"\",n=s.subarray(o,o+i);for(var t=0;i>t;t+=8192){u+=String.fromCharCode.apply(null,n.subarray(t,t+8192))}return btoa(u)}return JSON.parse(new TextDecoder(\"utf-8\").decode(a.subarray(4,4+f)),function(o,i){return i?i.$b?r(i.$b[0],i.$b[1]):i:i})}if(typeof window.__nxUnpack!==\"function\"){window.__nxUnpack=G}if(typeof window.__nxLate!==\"function\"){window.__nxLate=function(e,a){if(document.readyState!==\"loading\"){return null}if(!document.querySelector('template[data-nx-libs-last~=\"'+e+'\"]')){return null}return new Promise(function(f,s){document.addEventListener(\"DOMContentLoaded\",function(){var r=a();if(r){f(r)}else{s(new Error(\"nx-late: \"+e))}},{once:true})})}}if(typeof window.__nxAsset!==\"function\"){var I={};window.__nxAsset=function(e,a){if(I[e]){return I[e]}var f=document.getElementById(\"nxe-boot\"),s=[],r=window.NX_ASSET_BASE,o=f?f.getAttribute(\"data-nx-asset-base\"):\"\";if(r){s.push(String(r))}if(o){s.push(o)}s.push(\"\/wp-content\/uploads\/nexus-assets\/\");function i(t){if(!a){return t}return crypto.subtle.digest(\"SHA-256\",new TextEncoder().encode(t)).then(function(c){if(\"sha256-\"+btoa(String.fromCharCode.apply(null,new Uint8Array(c)))!==a){throw new Error(\"nx-asset: integrity\")}return t})}function u(t){if(t>=s.length){return Promise.reject(new Error(\"nx-asset: \"+e))}var c=s[t].charAt(s[t].length-1)===\"\/\"?s[t]:s[t]+\"\/\";return fetch(c+e,{credentials:\"omit\"}).then(function(d){if(!d.ok){throw new Error(\"nx-asset: \"+d.status)}return d.text()}).then(i).then(null,function(){return u(t+1)})}var n=u(0);I[e]=n;n.then(null,function(){delete I[e]});return n}}if(typeof window.__nxText!==\"function\"){window.__nxText=function(e){if(!e){return Promise.reject(new Error(\"nx-text: none\"))}var a=e.getAttribute(\"data-nx-asset\");if(a?!e.textContent:false){return window.__nxAsset(a,e.getAttribute(\"data-nx-sri\")||\"\")}return Promise.resolve(e.textContent)}}function ut(e){var a=e.getAttribute(\"data-nx-asset\");if(a?!e.textContent:false){return window.__nxAsset(a,e.getAttribute(\"data-nx-sri\")||\"\").then(function(n){return window.__nxInflate(n)})}var f=e.getAttribute(\"data-nx-src\");if(f?!e.textContent:false){var s=window.NX_RUNTIME||{},r=s.base||window.NX_RUNTIME_BASE||\"\",o=(s.files||{})[f.replace(\/\\.[0-9a-f]{12}(\\.js)$\/,\"$1\")]||null,i=[];if(r){i.push([r+f,e.getAttribute(\"data-nx-sri\")||\"\"])}if(o?!!o.url:false){i.push([o.url,o.sri||\"\"])}var u=function(n){if(n>=i.length){return Promise.reject(new Error(\"nx-lazy: \"+f))}var t={credentials:\"same-origin\"};if(i[n][1]){t.integrity=i[n][1]}return fetch(i[n][0],t).then(function(c){if(!c.ok){throw new Error(\"nx-lazy: \"+c.status)}return c.text()}).then(null,function(){return u(n+1)})};return u(0)}return Promise.resolve(window.__nxInflate(e.textContent))}function st(e){var a=e[0].getAttribute(\"data-nx-on-sight\")||\"[data-nx-map]\",f=null,s=false;function r(){if(s){return}s=true;if(f){f.disconnect()}var i=document.querySelectorAll(\"script[data-nx-on-sight][data-nx-asset]:not([data-nx-run])\"),u=[];for(var n=0;n!==i.length;n++){(function(t){if(t.textContent){return}u.push(window.__nxAsset(t.getAttribute(\"data-nx-asset\"),t.getAttribute(\"data-nx-sri\")||\"\").then(function(c){t.textContent=c;t.removeAttribute(\"data-nx-asset\")},function(){t.setAttribute(\"data-nx-ran\",\"failed\")}))})(i[n])}Promise.all(u.concat(e.map(function(t){return ut(t).then(null,function(){return null})}))).then(function(t){var c=t.slice(u.length);for(var d=0;d!==e.length;d++){if(c[d]===null){e[d].setAttribute(\"data-nx-ran\",\"failed\");continue}var m=document.createElement(\"script\");m.className=\"_iub_cs_skip\";m.setAttribute(\"data-nx-runtime\",e[d].getAttribute(\"data-nx-run\"));m.textContent=c[d];(document.head||document.documentElement).appendChild(m);e[d].setAttribute(\"data-nx-ran\",\"true\")}try{document.dispatchEvent(new CustomEvent(\"nexus:lazy-ready\"))}catch(y){}})}function o(){if(s){return}var i=[document],u=document.querySelectorAll(\".nxe-host\"),n=[],t,c;for(t=0;t!==u.length;t++){if(u[t].shadowRoot){i.push(u[t].shadowRoot)}}for(t=0;t!==i.length;t++){c=i[t].querySelectorAll(a);for(var d=0;d!==c.length;d++){n.push(c[d])}}if(!n.length){return}if(!window.IntersectionObserver){r();return}f=f||new IntersectionObserver(function(m){for(var y=0;y!==m.length;y++){if(m[y].isIntersecting){r();return}}},{rootMargin:\"800px 0px 800px 0px\"});for(t=0;t!==n.length;t++){if(!n[t].__nxLazySeen){n[t].__nxLazySeen=true;f.observe(n[t])}}}document.addEventListener(\"DOMContentLoaded\",o);document.addEventListener(\"nexus:runtime-ready\",o);window.addEventListener(\"load\",o);setTimeout(o,0)}var K=document.querySelectorAll(\"script[data-nx-run]\"),C=[],$=[];for(var z=0;z< K.length;z++){var l=K[z];if(l.hasAttribute(\"data-nx-ran\")){continue}if(l.hasAttribute(\"data-nx-on-sight\")){l.setAttribute(\"data-nx-ran\",\"waiting\");$.push(l);continue}if(l.hasAttribute(\"data-nx-src\")?!l.textContent:false){l.setAttribute(\"data-nx-ran\",\"loading\");C.push(l);continue}if(l.hasAttribute(\"data-nx-asset\")?!l.textContent:false){l.setAttribute(\"data-nx-ran\",\"loading\");C.push(l);continue}l.setAttribute(\"data-nx-ran\",\"true\");try{var L=document.createElement(\"script\");L.className=\"_iub_cs_skip\";L.setAttribute(\"data-nx-runtime\",l.getAttribute(\"data-nx-run\"));L.textContent=window.__nxInflate(l.textContent);(document.head||document.documentElement).appendChild(L)}catch(e){l.setAttribute(\"data-nx-ran\",\"failed\")}}if($.length){st($)}if(!C.length){return}var Q=window.NX_RUNTIME||{},V=Q.base||window.NX_RUNTIME_BASE||\"\",T=window.__nxMount,P=[];if(typeof T===\"function\"){window.__nxMount=function(e){P.push(e)}}function ft(){if(typeof T===\"function\"){window.__nxMount=T;for(var e=0;e< P.length;e++){try{T(P[e])}catch(a){}}}try{document.dispatchEvent(new CustomEvent(\"nexus:runtime-ready\"))}catch(a){}}function M(e){if(e>=C.length){ft();return}var a=C[e],f=a.getAttribute(\"data-nx-src\")||\"\",s=Q.files||{},r=[];if(a.hasAttribute(\"data-nx-asset\")){window.__nxAsset(a.getAttribute(\"data-nx-asset\"),a.getAttribute(\"data-nx-sri\")||\"\").then(function(u){var n=document.createElement(\"script\");n.className=\"_iub_cs_skip\";n.setAttribute(\"data-nx-runtime\",a.getAttribute(\"data-nx-run\"));n.textContent=window.__nxInflate(u);(document.head||document.documentElement).appendChild(n);a.setAttribute(\"data-nx-ran\",\"true\")}).then(null,function(){a.setAttribute(\"data-nx-ran\",\"failed\")}).then(function(){M(e+1)});return}var o=s[f.replace(\/\\.[0-9a-f]{12}(\\.js)$\/,\"$1\")]||null;if(V){r.push([V+f,a.getAttribute(\"data-nx-sri\")||\"\"])}if(o?!!o.url:false){r.push([o.url,o.sri||\"\"])}function i(u){if(u>=r.length){a.setAttribute(\"data-nx-ran\",\"failed\");M(e+1);return}var n=document.createElement(\"script\");n.className=\"_iub_cs_skip\";n.setAttribute(\"data-nx-runtime\",a.getAttribute(\"data-nx-run\"));if(r[u][1]){n.integrity=r[u][1]}n.onload=function(){a.setAttribute(\"data-nx-ran\",\"true\");M(e+1)};n.onerror=function(){if(n.parentNode){n.parentNode.removeChild(n)}i(u+1)};n.src=r[u][0];(document.head||document.documentElement).appendChild(n)}i(0)}M(0)})();<\/script><div class=\"nxe-host\" data-nxe-embed=\"n-a-p11-field-interdependencies\"><div class=\"nxe\" id=\"nxe-nl9kyxne\" data-inst=\"gra\" data-theme=\"dark\" data-grammar=\"atlas\" data-domain=\"finance\" data-arche=\"network\" lang=\"en\" data-nx-css=\"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\"><style>#nxe-nl9kyxne.nxe{display:block;box-sizing:border-box;max-width:1180px;margin:0 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-nl9kyxne.nxe :where(*,*::before,*::after){box-sizing:inherit}#nxe-nl9kyxne.nxe :where(section,header,footer,nav,aside){display:block;margin:0 0 32px}#nxe-nl9kyxne.nxe :where(h1,h2,h3,h4){line-height:1.2;margin:24px 0 12px;font-weight:600}#nxe-nl9kyxne.nxe :where(p,ul,ol,dl,table,figure,details){margin:0 0 16px}#nxe-nl9kyxne.nxe :where(ul,ol){padding-left:20px}#nxe-nl9kyxne.nxe a{color:inherit;text-decoration:underline;text-underline-offset:2px}#nxe-nl9kyxne.nxe table{border-collapse:collapse;width:100%;display:block;overflow-x:auto}#nxe-nl9kyxne.nxe :where(th,td){padding:6px 8px;text-align:left;vertical-align:top;border-bottom:1px solid;border-color:inherit}#nxe-nl9kyxne.nxe svg{display:none}#nxe-nl9kyxne.nxe svg.nx-i{display:inline-block;width:18px;height:18px;vertical-align:-3px}#nxe-nl9kyxne.nxe :where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-nl9kyxne.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\">Dependencies and consequences<\/h1><p class=\"nx-scene-lede\">Quantitative risk work connects insurance, banking, pensions and public finance, because the same loss distributions and dependence assumptions drive pricing, capital and fiscal planning. This page maps those links.<\/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\/field\/\">Back to Field overview<\/a><\/div><\/div><dl class=\"nx-scene-stats nx-es-stats\"><div><dt class=\"nx-eyebrow\">STEM methods<\/dt><dd>6<\/dd><dd class=\"nx-scene-stat-note\">Canonical methods this field applies<\/dd><\/div><div><dt class=\"nx-eyebrow\">Topics<\/dt><dd>8<\/dd><dd class=\"nx-scene-stat-note\">Subject pages in the field<\/dd><\/div><div><dt class=\"nx-eyebrow\">Counterparts<\/dt><dd>4<\/dd><dd class=\"nx-scene-stat-note\">Platforms in shared fields across the network<\/dd><\/div><div><dt class=\"nx-eyebrow\">Report series<\/dt><dd>2<\/dd><dd class=\"nx-scene-stat-note\">Reports series it contributes to<\/dd><\/div><\/dl><\/section><section id=\"nx-sec-inputs-from-the-real-world\" class=\"nx-section\" data-hue=\"finance\" data-variant=\"split\" 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\">Inputs from the real world<\/span><\/div><h2 id=\"nx-s-1\" class=\"nx-section-title\">What models depend on.<\/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\"><path d=\"M12 2v2\"\/><path d=\"m4.93 4.93 1.41 1.41\"\/><path d=\"M20 12h2\"\/><path d=\"m19.07 4.93-1.41 1.41\"\/><path d=\"M15.947 12.65a4 4 0 0 0-5.925-4.128\"\/><path d=\"M3 20a5 5 0 1 1 8.9-4H13a3 3 0 0 1 2 5.24\"\/><path d=\"M11 20v2\"\/><path d=\"M7 19v2\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Physical<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Hazard and climate<\/h3><p class=\"nx-p nx-mt-1\">Catastrophe and pricing models depend on hazard science, which is changing as the climate warms.<\/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=\"M19 14c1.49-1.46 3-3.21 3-5.5A5.5 5.5 0 0 0 16.5 3c-1.76 0-3 .5-4.5 2-1.5-1.5-2.74-2-4.5-2A5.5 5.5 0 0 0 2 8.5c0 2.3 1.5 4.05 3 5.5l7 7Z\"\/><path d=\"M3.22 12l6.28 0 .5-1 2 4.5 2-7 1.5 3.5 5.27 0\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Social<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Health and demography<\/h3><p class=\"nx-p nx-mt-1\">Mortality, morbidity and longevity models depend on medicine, behaviour, heat exposure and population change.<\/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=\"M3 3v18h18\"\/><path d=\"m19 9-5 5-4-4-3 3\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Economic<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Markets and inflation<\/h3><p class=\"nx-p nx-mt-1\">Asset values, interest rates and claims inflation drive both sides of the balance sheet.<\/p><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-field\" 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\">Spatial finance<\/span><\/div><h2 id=\"nx-s-2\" 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 Risks 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.\" data-nx-zf=\"figure.aa67601c1a0b.txt\" data-nx-zs=\"sha256-qmdgHBoLwbHYOZ49XGwQHMoz\/4JQIZssycOx6q5HvFo=\"><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\/field\/interdependencies\/#map\" data-nxf-title=\"Actuarial and Quantitative Risk live map\" data-nxf-height=\"560\" hidden><\/div><\/div><\/div><\/section><section class=\"nx-section\" data-band=\"auto\" data-band-id=\"nx-band-1\" data-hue=\"finance\" aria-label=\"Model channel, Monitor, Governance, Outputs into finance and society\"><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=\"Model channel, Monitor, Governance, Outputs into finance and society\"><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-1\" aria-controls=\"nx-sec-pg-nx-gra-ap11-rt-model\" aria-selected=\"true\" data-key=\"p1\">Model channel<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-2\" aria-controls=\"nx-s-4-sec\" aria-selected=\"false\" data-key=\"p2\">Monitor<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-3\" aria-controls=\"nx-sec-pg-nx-gra-ap11-rt-gov\" aria-selected=\"false\" data-key=\"p3\">Governance<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-4\" aria-controls=\"nx-sec-outputs-into-finance-and-society\" aria-selected=\"false\" data-key=\"p4\">Outputs into finance and society<\/button><\/div><section id=\"nx-sec-pg-nx-gra-ap11-rt-model\" class=\"nx-section nx-band-panel\" data-hue=\"finance\" aria-labelledby=\"nx-s-3\" 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\">03<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Model channel<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">How shared quantitative assumptions transmit risk.<\/h2><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\"><li><strong>Common calibrations<\/strong>: standard formulas and widely used vendor models make firms move together.<\/li><li><strong>Correlation breakdown<\/strong>: diversification assumed in calm periods disappears in stress.<\/li><li><strong>Model change<\/strong>: a vendor update can shift capital across a market at once.<\/li><li><strong>Longevity<\/strong>: shared mortality tables link insurers and pension funds.<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-s-4-sec\" class=\"nx-section nx-band-panel\" data-hue=\"project\" aria-labelledby=\"nx-s-4\" 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\">04<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Monitor<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">Field overview.<\/h2><p class=\"nx-lede\">The screen a team would use to follow this subject: its measures, states and decisions. Names are examples and values are illustrative.<\/p><\/div><div class=\"nx-section-body\"><figure class=\"nx-fk nx-cx\" data-fk=\"cx-actuarial-field\" data-cx=\"actuarial.field\" data-variant=\"section\" aria-label=\"Field overview: illustrative console with example names and values\" data-nx-z=\"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\"><figcaption class=\"nx-fk-cap\"><span>Field overview: the screen&#8217;s structure, terms and states for Actuarial and quantitative risk.<\/span><span data-honesty=\"true\">Example names and illustrative values; a design, not a record or a live system.<\/span><\/figcaption><\/figure><\/div><\/div><\/section><section id=\"nx-sec-pg-nx-gra-ap11-rt-gov\" class=\"nx-section nx-band-panel\" data-hue=\"finance\" data-variant=\"stack\" aria-labelledby=\"nx-s-5\" 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\">05<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Governance<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">Who checks the quants.<\/h2><\/div><div class=\"nx-section-body\"><p class=\"nx-p\">Independent validation, actuarial review and supervisory model approval are the checks. Governance of model use in public decisions at <a class=\"nx-link\" href=\"https:\/\/globalriskforum.com\/ai-digital-governance\/topics\/algorithmic-public-decisions\/\">GRF algorithmic public decisions<\/a>; topic depth at mortality and longevity.<\/p><\/div><\/div><\/section><section id=\"nx-sec-outputs-into-finance-and-society\" class=\"nx-section nx-band-panel\" data-hue=\"project\" data-variant=\"split\" aria-labelledby=\"nx-s-6\" 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\">06<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Outputs into finance and society<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">How model results become consequences.<\/h2><\/div><div class=\"nx-section-body\"><p class=\"nx-p\">Model outputs set premiums, reserves and capital. If models understate risk, institutions are under-capitalised and may fail when losses arrive, shifting costs to policyholders, policyholder protection schemes funded by industry, or the public. If models overstate risk or react sharply to new information, cover can become unaffordable or be withdrawn, widening protection gaps for households, firms and governments.<\/p><p class=\"nx-p\">Model homogeneity creates its own dependency. When many institutions use similar vendor models, data and assumptions, their errors are correlated, and a single model revision can shift prices or capital across a market at once. This is one reason supervisors and validators value independent challenger models.<\/p><\/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=\"Ecological and long-horizon links, Method, 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=\"Ecological and long-horizon links, Method, Sources, Questions\"><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-2-tab-1\" aria-controls=\"nx-sec-ecological-and-long-horizon-links\" aria-selected=\"true\" data-key=\"p1\">Ecological and long-horizon links<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-2-tab-2\" aria-controls=\"nx-sec-method\" aria-selected=\"false\" data-key=\"p2\">Method<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-2-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-2-tab-4\" aria-controls=\"nx-s-10-sec\" aria-selected=\"false\" data-key=\"p4\">Questions<\/button><\/div><section id=\"nx-sec-ecological-and-long-horizon-links\" class=\"nx-section nx-band-panel\" data-hue=\"finance\" aria-labelledby=\"nx-s-7\" 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\">07<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Ecological and long-horizon links<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">Where time horizons collide.<\/h2><p class=\"nx-lede\">Many quantitative frameworks use one-year horizons for capital, while climate, ecological and demographic change unfold over decades. Pension and life liabilities, by contrast, span generations. Reconciling these horizons is a central methodological challenge, and nature-related risks, such as ecosystem degradation affecting flood exposure, are only beginning to enter models.<\/p><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\"><li>Systemic and cascade analysis at The Global Centre for Risk and Innovation (GCRI): <a class=\"nx-link\" href=\"https:\/\/therisk.global\/systems-modelling\/topics\/networks-and-cascades\/\">networks and cascades<\/a>.<\/li><li>Insurance market effects: <a class=\"nx-link\" href=\"https:\/\/globalriskalliance.com\/insurance-nexus\/topics\/insurance-protection-gaps\/\">insurance protection gaps<\/a> at GRA.<\/li><li>Loss data foundations: <a class=\"nx-link\" href=\"https:\/\/globalriskalliance.com\/reinsurance-catastrophe\/topics\/catastrophe-loss-data\/\">catastrophe loss data<\/a> at GRA.<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-method\" class=\"nx-section nx-band-panel\" data-hue=\"project\" data-variant=\"stack\" aria-labelledby=\"nx-s-8\" 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\">08<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Method<\/span><\/div><h2 id=\"nx-s-8\" class=\"nx-section-title\">How dependencies are analysed.<\/h2><p class=\"nx-lede\">Dependency analysis uses uncertainty quantification, <a class=\"nx-link nx-term\" href=\"https:\/\/nexustandards.com\/standards\/nrs\/#nrs-c1\" data-tc=\"NRS-C1 sensitivity-analysis\" data-tk=\"Nexus risk vocabulary\" data-td=\"Testing how much a model's outputs change when inputs or assumptions change, to identify which drive results.\" data-ts=\"NRS-C1\" data-tr=\"draft\">sensitivity analysis<\/a>, scenario design and dependence modelling. Every analysis states its assumptions, data and uncertainty; see <a class=\"nx-link\" href=\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/research\/methods\/\">methods<\/a>. A dependency map describes how stress could travel; it is not a forecast. This is shared industry research on methods, not actuarial, investment or regulatory advice to any firm, and GRA does not validate, approve or sign off any model.<\/p><\/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-9\" 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\">09<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Sources<\/span><\/div><h2 id=\"nx-s-9\" 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.federalreserve.gov\/supervisionreg\/srletters.htm\"><span>US interagency revised guidance on model risk management, SR 26-2 (April 2026), superseding SR 11-7<\/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-10-sec\" class=\"nx-section nx-band-panel\" data-hue=\"project\" aria-labelledby=\"nx-s-10\" role=\"tabpanel\" data-band-tab=\"nx-band-2-tab-4\"><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\">Questions<\/span><\/div><h2 id=\"nx-s-10\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>Why does model homogeneity matter?<\/summary><div class=\"nx-answer\">Because when many firms share models and assumptions, their errors move together, which can amplify market-wide effects.<\/div><\/details><details><summary>Do models include climate change?<\/summary><div class=\"nx-answer\">Increasingly, but methods and data are still developing, and approaches vary widely.<\/div><\/details><details><summary>Is this analysis firm-specific?<\/summary><div class=\"nx-answer\">No. It is aggregate and methodological.<\/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\"><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\/field\/interdependencies#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-uarial-quantitative-risk-field-interdependencies-h\"><div class=\"nx-container\"><nav class=\"nx-deeper\" aria-labelledby=\"nx-deeper-uarial-quantitative-risk-field-interdependencies-h\" data-nx-deeper=\"3\" data-nx-resources=\"1 1 1\"><h2 class=\"nx-deeper-h\" id=\"nx-deeper-uarial-quantitative-risk-field-interdependencies-h\">Go deeper<\/h2><ul><li><a href=\"https:\/\/docs.therisk.global\/organization\/use-by\/central-banks-and-supervisors#what-central-banks-and-supervisors-are-trying-to-do\" data-ext><span class=\"nx-deeper-k\">Documentation:<\/span> Central banks and supervisors<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-11\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Actuarial and Quantitative Risk<\/span><h2 id=\"nx-close-11\" class=\"nx-section-title\">Bring an exposure or capital question to the Alliance.<\/h2><p class=\"nx-lede\">Information and enquiries are open today. An enquiry receives a reference and names the next step; applications, payments, compute allocations and registrations open only when their team, terms and review capacity exist.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/globalriskalliance.com\/write-to-us\/readiness-request\/\">Propose a readiness pilot <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\/contact\/\">See all contact routes<\/a><\/div><\/div><\/section><section class=\"nx-section\" data-tone=\"alt\" aria-labelledby=\"nx-legal-12\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Legal<\/span><h2 id=\"nx-legal-12\" class=\"nx-h3 nx-mt-2\">Legal documents.<\/h2><nav class=\"nx-related nx-mt-3\" aria-label=\"Legal documents\"><a href=\"https:\/\/globalriskalliance.com\/legal\/terms\/\">Platform Terms of Use <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskalliance.com\/legal\/privacy\/\">Platform Privacy Notice <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskalliance.com\/legal\/cookies\/\">Platform Cookie and Storage Notice <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskalliance.com\/legal\/legal-notice\/\">Legal Notice <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskalliance.com\/legal\/acceptable-use\/\">Acceptable Use Policy <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskalliance.com\/legal\/participation-terms\/\">Participation and Events Terms <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskalliance.com\/legal\/contribution-terms\/\">Contribution Terms <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskalliance.com\/legal\/research-and-data-terms\/\">Research and Data Terms <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskalliance.com\/legal\/ai-use\/\">AI-use Statement <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskalliance.com\/legal\/intellectual-property\/\">Intellectual Property and Licensing <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskalliance.com\/legal\/trademark-policy\/\">Trademark and Name Use Policy <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskalliance.com\/legal\/disclaimer\/\">Disclaimers and Data Notices <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskalliance.com\/legal\/corrections\/\">Corrections and Right of Reply Policy <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskalliance.com\/legal\/complaints-and-integrity\/\">Complaints and integrity reporting <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskalliance.com\/legal\/security\/\">Security and responsible disclosure <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskalliance.com\/legal\/code-of-conduct\/\">Code of Conduct <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskalliance.com\/trust\/accessibility\/\">Accessibility Statement <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskalliance.com\/legal\/third-party-notices\/\">Third-party notices and attributions <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/nav><p class=\"nx-note nx-mt-3\">Maps, data and figures on this site are shown for context and general information. They are not advice, forecasts or warnings; the limits of the information are set out in the Disclaimers and Data Notices.<\/p><\/div><\/section><\/div><\/div><script class=\"_iub_cs_skip\">window.__nxMount ? window.__nxMount(document.currentScript) : null;<\/script>\n\n\n<script type=\"application\/ld+json\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"FAQPage\",\"@id\":\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/field\/interdependencies\/#faq\",\"isPartOf\":{\"@id\":\"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/field\/interdependencies\/#webpage\"},\"inLanguage\":\"en\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"Why does model homogeneity matter?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Because when many firms share models and assumptions, their errors move together, which can amplify market-wide effects.\"}},{\"@type\":\"Question\",\"name\":\"Do models include climate change?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Increasingly, but methods and data are still developing, and approaches vary widely.\"}},{\"@type\":\"Question\",\"name\":\"Is this analysis firm-specific?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"No. It is aggregate and methodological.\"}}]}]}<\/script>\n\n<!-- nx-rev:3121bec01d49694d -->\n<!-- nx-shared:90ff1b641cb2 -->\n<!-- nx-path:\/field\/interdependencies\/ -->","protected":false},"excerpt":{"rendered":"<p>40){clearInterval(re)}},400);n.NXLive={allowed:d,blocked:f,grant:B,register:V,hosts:E.length}})();GRA \u00b7 Actuarial and Quantitative Risk<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":16,"menu_order":151,"comment_status":"closed","ping_status":"closed","template":"","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":"","_nx_seo_description":"","_nx_seo_title":"","_nx_seo_image":"","_nx_seo_jsonld":"","_nx_i18n_locale":"","_nx_i18n_group":"","nexus_page_kind":"","footnotes":"","_nx_seo_image_alt":"","_nx_seo_canonical":"","_nx_seo_robots":"","_nx_seo_schema_type":""},"class_list":["post-32","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/wp-json\/wp\/v2\/pages\/32","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\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/wp-json\/wp\/v2\/comments?post=32"}],"version-history":[{"count":1,"href":"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/wp-json\/wp\/v2\/pages\/32\/revisions"}],"predecessor-version":[{"id":78,"href":"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/wp-json\/wp\/v2\/pages\/32\/revisions\/78"}],"up":[{"embeddable":true,"href":"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/wp-json\/wp\/v2\/pages\/16"}],"wp:attachment":[{"href":"https:\/\/globalriskalliance.com\/actuarial-quantitative-risk\/wp-json\/wp\/v2\/media?parent=32"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}