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:where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-n1c7y9hr.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 Asset Management Nexus<\/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\">Econometrics for asset management<\/h1><p class=\"nx-scene-lede\">Econometrics estimates relationships from market and fund data: how flows respond to performance, how prices respond to disclosure and votes, how ratings relate to outcomes. In asset management it supplies the empirical evidence behind each mechanism, and its main risks are confounding, selection and relationships that change under stress.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/globalriskalliance.com\/asset-management-nexus\/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\/asset-management-nexus\/stem\/\">Back to STEM foundation of Asset Management Nexus<\/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\">Econometrics for asset management 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>Method record<\/strong><\/span><span class=\"nx-eyebrow\">STEM method<\/span><\/div><ol class=\"nx-register-rows\"><li><div><span class=\"nx-register-k\">Method<\/span><span class=\"nx-register-v\">Econometrics<\/span><\/div><\/li><li><div><span class=\"nx-register-k\">Steward<\/span><span class=\"nx-register-v\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/economic-development\/\">Economic Development<\/a><\/span><\/div><\/li><li><div><span class=\"nx-register-k\">Applied in<\/span><span class=\"nx-register-v\">Asset Management Nexus<\/span><\/div><\/li><li><div><span class=\"nx-register-k\">Data<\/span><span class=\"nx-register-v\"><a class=\"nx-link\" href=\"#nx-sec-data\">4 inputs<\/a><\/span><\/div><\/li><li><div><span class=\"nx-register-k\">Checks<\/span><span class=\"nx-register-v\"><a class=\"nx-link\" href=\"#nx-sec-checks\">3 validation steps<\/a><\/span><\/div><\/li><li><div><span class=\"nx-register-k\">Canonical page<\/span><span class=\"nx-register-v\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/mathematics\/econometrics\/\">STEM Commons<\/a><\/span><\/div><\/li><\/ol><\/div><\/div><\/div><\/div><\/div><\/section><section class=\"nx-section\" data-band=\"auto\" data-band-id=\"nx-band-1\" data-hue=\"climate\" aria-label=\"Application, Exposure, loss and capital, Data\"><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=\"Application, Exposure, loss and capital, Data\"><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-1\" aria-controls=\"nx-sec-application\" aria-selected=\"true\" data-key=\"p1\">Application<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-2\" aria-controls=\"nx-sec-audience\" aria-selected=\"false\" data-key=\"p2\">Exposure, loss and capital<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-3\" aria-controls=\"nx-sec-data\" aria-selected=\"false\" data-key=\"p3\">Data<\/button><\/div><section id=\"nx-sec-application\" class=\"nx-section nx-band-panel\" data-hue=\"climate\" data-variant=\"split\" aria-labelledby=\"nx-s-2\" role=\"tabpanel\" data-band-tab=\"nx-band-1-tab-1\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">02<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Application<\/span><\/div><h2 id=\"nx-s-2\" class=\"nx-section-title\">What econometrics does here.<\/h2><p class=\"nx-lede\">Econometrics applies statistical methods to economic data to estimate relationships, test theories and forecast. It provides empirical evidence on how shocks and policies affect economic outcomes. In capital markets and investment, climate and hazards and biodiversity and nature, econometric evidence estimates how disasters, pandemics and financial shocks affect output, employment and prices. It informs the economic case for <a class=\"nx-link nx-term\" href=\"https:\/\/nexustandards.com\/standards\/nrs\/#nrs-c1\" data-tc=\"NRS-C1 risk-reduction\" data-tk=\"Nexus risk vocabulary\" data-td=\"Preventing new risk, reducing existing risk and managing residual risk, all contributing to resilience.\" data-ts=\"NRS-C1\" data-tr=\"draft\">risk reduction<\/a>. The canonical description is on <a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/mathematics\/econometrics\/\">the STEM Commons<\/a>.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-cols\"><article><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\" data-size=\"lg\"><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><\/div><h3 class=\"nx-h3 nx-mt-2\">Flow and price pressure estimation<\/h3><p class=\"nx-p nx-mt-1\">Panel models relate fund flows to past returns, fees and market conditions, and test whether outflows predict price pressure in the assets those funds hold.<\/p><\/article><article><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\" data-size=\"lg\"><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=\"m9 12 2 2 4-4\"\/><path d=\"M5 7c0-1.1.9-2 2-2h10a2 2 0 0 1 2 2v12H5V7Z\"\/><path d=\"M22 19H2\"\/><\/svg><\/span><\/div><h3 class=\"nx-h3 nx-mt-2\">Event studies of stewardship and disclosure<\/h3><p class=\"nx-p nx-mt-1\">Abnormal returns and later company disclosures around votes, engagements and new reporting rules are estimated against matched controls, to separate the event from wider news.<\/p><\/article><article><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\" data-size=\"lg\"><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><\/div><h3 class=\"nx-h3 nx-mt-2\">Rating divergence analysis<\/h3><p class=\"nx-p nx-mt-1\">Ratings from several providers are decomposed into differences of scope, weight and measurement to explain why they disagree about the same companies.<\/p><\/article><\/div><\/div><\/div><\/section><section id=\"nx-sec-audience\" class=\"nx-section nx-band-panel\" data-hue=\"biodiversity\" aria-labelledby=\"nx-s-3\" role=\"tabpanel\" data-band-tab=\"nx-band-1-tab-2\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">03<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Exposure, loss and capital<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">What econometrics for asset management 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=\"scenario-pathways\"><h3 class=\"nx-h4\">Scenario pathways<\/h3><p class=\"nx-p nx-au-what\">How econometrics for asset management could be stressed under the scenario families central banks and supervisors use.<\/p><div class=\"nx-au-fig\"><svg class=\"nx-au-svg\" viewBox=\"0 0 560 214\" role=\"img\" aria-label=\"Combined transition and physical pressure under three scenario families\" focusable=\"false\"><line class=\"nx-au-ax\" x1=\"46\" y1=\"190\" x2=\"450\" y2=\"190\"\/><line class=\"nx-au-ax\" x1=\"46\" y1=\"16\" x2=\"46\" y2=\"190\"\/><path class=\"nx-au-ln\" d=\"M46 155.2l80.8-38.3 80.8-13.9 80.8 7 80.8 10.4 80.8 8.7\"\/><text class=\"nx-au-t\" x=\"458\" y=\"133.1\" text-anchor=\"start\">Orderly<\/text><path class=\"nx-au-ac\" d=\"M46 155.2l80.8-3.5 80.8-13.9 80.8-73.1 80.8 10.5 80.8 19.1\"\/><text class=\"nx-au-t\" x=\"458\" y=\"98.3\" text-anchor=\"start\">Disorderly<\/text><path class=\"nx-au-ln nx-au-dash\" d=\"M46 155.2l80.8-7 80.8-10.4 80.8-13.9 80.8-20.9 80.8-27.8\"\/><text class=\"nx-au-t\" x=\"458\" y=\"79.16\" text-anchor=\"start\">Hot house world<\/text><text class=\"nx-au-t\" x=\"46\" y=\"206\" text-anchor=\"middle\">2025<\/text><text class=\"nx-au-t\" x=\"126.8\" y=\"206\" text-anchor=\"middle\">2030<\/text><text class=\"nx-au-t\" x=\"207.6\" y=\"206\" text-anchor=\"middle\">2035<\/text><text class=\"nx-au-t\" x=\"288.4\" y=\"206\" text-anchor=\"middle\">2040<\/text><text class=\"nx-au-t\" x=\"369.2\" y=\"206\" text-anchor=\"middle\">2045<\/text><text class=\"nx-au-t\" x=\"450\" y=\"206\" text-anchor=\"middle\">2050<\/text><text class=\"nx-au-t\" x=\"40\" y=\"33.4\" text-anchor=\"end\">high<\/text><text class=\"nx-au-t\" x=\"40\" y=\"172.6\" text-anchor=\"end\">low<\/text><\/svg><\/div><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Scenario family<\/th><th scope=\"col\">Transition risk<\/th><th scope=\"col\">Physical risk<\/th><th scope=\"col\">What a stress test asks<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Scenario family\">Orderly<\/td><td data-label=\"Transition risk\">Early, gradual policy<\/td><td data-label=\"Physical risk\">Lower<\/td><td data-label=\"What a stress test asks\">Can the book absorb a steady repricing?<\/td><\/tr><tr><td data-label=\"Scenario family\">Disorderly<\/td><td data-label=\"Transition risk\">Late, abrupt policy<\/td><td data-label=\"Physical risk\">Lower to medium<\/td><td data-label=\"What a stress test asks\">What breaks under a sudden repricing and credit migration?<\/td><\/tr><tr><td data-label=\"Scenario family\">Hot house world<\/td><td data-label=\"Transition risk\">Limited policy<\/td><td data-label=\"Physical risk\">High and rising<\/td><td data-label=\"What a stress test asks\">Where do physical losses concentrate in collateral and insurance?<\/td><\/tr><\/tbody><\/table><\/div><figcaption class=\"nx-caption\"><span>Scenario families as defined by the NGFS; the curves are an illustrative combined pressure index, not NGFS variables or forecasts.<\/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-data\" class=\"nx-section nx-band-panel\" data-hue=\"finance\" aria-labelledby=\"nx-s-4\" role=\"tabpanel\" data-band-tab=\"nx-band-1-tab-3\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">04<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Data<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">What the method consumes.<\/h2><p class=\"nx-lede\">Datasets and records used by econometrics on this platform, with the role each plays and the label its values carry. Sources are listed in <a class=\"nx-link\" href=\"https:\/\/globalriskalliance.com\/asset-management-nexus\/research\/sources\/\">the source register<\/a>.<\/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\">Data<\/th><th scope=\"col\">Role<\/th><th scope=\"col\">Label<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Data\">Fund flow and return panels<\/td><td data-label=\"Role\">Investor behaviour estimation<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Data\">Voting and engagement records<\/td><td data-label=\"Role\">Stewardship event studies<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Data\">Vendor ESG ratings<\/td><td data-label=\"Role\">Divergence and outcome studies<\/td><td data-label=\"Label\"><span class=\"nx-chip\">ESTIMATED<\/span><\/td><\/tr><tr><td data-label=\"Data\">Market prices and returns<\/td><td data-label=\"Role\">Abnormal return estimation<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"data\" data-nxf-kind=\"data\" data-nxf-resource=\"nexus:\/\/gra\/A03\/stem\/econometrics\/#data\" data-nxf-title=\"Method record\" data-nxf-height=\"520\" hidden><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/gra\/A03\/stem\/econometrics\/#evidence\" data-nxf-title=\"Evidence\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><\/div><\/div><\/section><section id=\"nx-s-5-sec\" class=\"nx-section\" data-hue=\"climate\" 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\">Process<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">How the process runs.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><div class=\"nx-launch\" id=\"explore-nx-pe-prisma\" data-kind=\"explorer\" data-js><div class=\"nx-launch-row\"><div class=\"nx-launch-text\"><p class=\"nx-launch-eb\">Process explorer \u00b7 Process<\/p><h3 class=\"nx-launch-t\" id=\"explore-nx-pe-prisma-t\">Econometrics for asset management: PRISMA 2020 review reporting<\/h3><p class=\"nx-launch-facts\"><span>10 steps<\/span><span class=\"nx-launch-sep\" aria-hidden=\"true\">\u00b7<\/span><span>4 stages<\/span><\/p><\/div><button type=\"button\" class=\"nx-launch-open\" aria-expanded=\"false\" aria-controls=\"explore-nx-pe-prisma-body\" data-open-label=\"Open explorer\" data-close-label=\"Close explorer\"><svg class=\"nx-launch-i nx-launch-play\" viewBox=\"0 0 14 14\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M2.5 1v12L13 7z\"\/><\/svg><svg class=\"nx-launch-i nx-launch-x\" viewBox=\"0 0 14 14\" aria-hidden=\"true\" focusable=\"false\"><path d=\"m2.5 2.5 9 9m0-9-9 9\"\/><\/svg><span>Open explorer<\/span><\/button><\/div><div class=\"nx-launch-body\" id=\"explore-nx-pe-prisma-body\" role=\"region\" aria-labelledby=\"explore-nx-pe-prisma-t\" tabindex=\"-1\"><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\">Econometrics for asset management: 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><\/div><\/div><\/section><section class=\"nx-section\" data-band=\"auto\" data-band-id=\"nx-band-2\" data-hue=\"biodiversity\" aria-label=\"Validation, Connections, Stewardship\"><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=\"Validation, Connections, Stewardship\"><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-2-tab-1\" aria-controls=\"nx-sec-checks\" aria-selected=\"true\" data-key=\"p1\">Validation<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-2-tab-2\" aria-controls=\"nx-sec-connections\" aria-selected=\"false\" data-key=\"p2\">Connections<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-2-tab-3\" aria-controls=\"nx-sec-stewardship\" aria-selected=\"false\" data-key=\"p3\">Stewardship<\/button><\/div><section id=\"nx-sec-checks\" class=\"nx-section nx-band-panel\" data-hue=\"biodiversity\" data-variant=\"split\" aria-labelledby=\"nx-s-6\" 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\">06<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Validation<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">How results are checked.<\/h2><p class=\"nx-lede\">Models are assessed through specification tests, robustness checks and out-of-sample performance. Results are compared across datasets and methods.<\/p><\/div><div class=\"nx-section-body\" data-lv=\"ledger\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Check<\/th><th scope=\"col\">How it is done<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Check\">Identification review<\/td><td data-label=\"How it is done\">Each causal claim names its identification strategy and the threats to it<\/td><\/tr><tr><td data-label=\"Check\">Out-of-sample and sub-period tests<\/td><td data-label=\"How it is done\">Relationships are tested on held-out periods, stress periods included<\/td><\/tr><tr><td data-label=\"Check\">Robustness across data sources<\/td><td data-label=\"How it is done\">Results are re-estimated on alternative vendors, samples and definitions<\/td><\/tr><\/tbody><\/table><\/div><p class=\"nx-note nx-mt-3\">Endogeneity, measurement error and structural change can bias estimates. Relationships may shift under extreme conditions.<\/p><\/div><\/div><\/section><section id=\"nx-sec-connections\" class=\"nx-section nx-band-panel\" data-hue=\"finance\" data-variant=\"split\" aria-labelledby=\"nx-s-7\" 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\">07<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Connections<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">Topics that rely on this method.<\/h2><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\" data-nav=\"true\"><li><a class=\"nx-link\" href=\"https:\/\/globalriskalliance.com\/asset-management-nexus\/topics\/portfolio-concentration\/\"><span>Portfolio concentration<\/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\" 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href=\"https:\/\/globalriskalliance.com\/asset-management-nexus\/topics\/transition-finance\/\"><span>Transition finance<\/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-sec-stewardship\" class=\"nx-section nx-band-panel\" data-hue=\"climate\" data-variant=\"split\" aria-labelledby=\"nx-s-8\" 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\">08<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Stewardship<\/span><\/div><h2 id=\"nx-s-8\" class=\"nx-section-title\">Who maintains the method.<\/h2><p class=\"nx-lede\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/economic-development\/\">Economic Development<\/a> stewards econometrics for the Consortium and reviews how it is applied across platforms.<\/p><\/div><div class=\"nx-section-body\"><p class=\"nx-p\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/mathematics\/econometrics\/\">Canonical page: Econometrics<\/a><\/p><\/div><\/div><\/section><\/div><\/div><\/section><section class=\"nx-section\" data-band=\"auto\" data-band-id=\"nx-band-3\" data-tone=\"alt\" data-hue=\"biodiversity\" aria-label=\"Connected, 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=\"Connected, Questions\"><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-3-tab-1\" aria-controls=\"nx-s-9-sec\" aria-selected=\"true\" data-key=\"p1\">Connected<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-3-tab-2\" aria-controls=\"nx-s-10-sec\" aria-selected=\"false\" data-key=\"p2\">Questions<\/button><\/div><section id=\"nx-s-9-sec\" class=\"nx-section nx-band-panel\" 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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><\/div><\/section><section id=\"nx-s-10-sec\" class=\"nx-section nx-band-panel\" data-hue=\"finance\" aria-labelledby=\"nx-s-10\" role=\"tabpanel\" data-band-tab=\"nx-band-3-tab-2\"><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>What are the limits of econometrics in this field?<\/summary><div class=\"nx-answer\">Endogeneity, measurement error and structural change can bias estimates. 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