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SuxGRGTN4E\/9kjj+ajE8nYZE5MTMTik8lc+iboA\/mjh9wknYpPut\/YEpNJMXUT+Oemjh6bKnTB8cREPDYpxm7m\/fDB\/OHDU13R4mJ2IpaeTGQSN8EfPH5k78cPHDn0aHQilZtMxHMTseykmM7dhHL\/8QOuTScSmclcNjkRT0xmvkf5+48fmjp8\/ODe8Q\/tzbtDQjI9sSvrdsSUp31+38Hj+aNHpw7npw6PP+h+MEyk3c5JuR\/brmN5Q0wXmkpPJHqAj34agk+Bf2UYCFinUTOMg98Co4Zu4jIqUODj6C\/o7QpS91PBERvv4Kp2Bvwiwhvrf48uB6\/Yl2mBWgRlaZHa8KmozgXC7+H7+wKkTOOcSqPyP1I4NyDwvkl8J8Io\/YKGsR0BBPCGv0kBQcAlAUA+ghmL0XO03ccLIbwfPF8\/C+pkR1mmFxtKYIM3AZvYyZhMvZ9ABtkVFm+3zYbcCTr+SPm8aZax83VdwTpbON6HdAaREDUsDITXX8bKvIQ1+LthOzzMY4wM27RDRVCZ0ft4sCu0GiDRrZwaIkGfzhARnRBO2H0buiJf\/HPJsIKtDdngP2IOYlNKuEWX186tbay1a81n8PvUfs02ZKfcOE+c0YJaluoDA+1dV+LP9V8JVbLn3yq3z27lX7Nfs3Zs3NsWavTqgtyPMkLQeE\/9rjolIZca7Zpda+N6HWupZdNnYqopvwwCKm2FQbLmtC92VFCtfxOeNf+R\/zuVVpbBGZm0VHzBVNlLyIZybqGmyo7kP9d+pr2uaLZMle0N6JA07B\/ZNbglTMCIn8W3We9Ov6ezRoIwelx3fLWrfI23sSGZhWAvPmgAiSCQkNYiwDX8zwy6zVEWY+otJAxW8N8yNBSFGoWyZ5ptGdMHSNyyG9BGW7gNRwUV7XB9gNAcCBD4LaNtoDILgA+CDH5Rdzq8BLgOi4M43tYpGeEViwcfwld0bUzTYMOuUZqlQJvFEcIMm5hlkuAXcNKwVNogqxjZGTQBDh7BfkUDOhVS2xRYR4d0bF3QIYpDW+hQHcCAB7BXNeNbEEE5HqdqVKTjM0NNmwaD2F9oZVK3jDKBsZZa9VHUCAV47FkNaJRF+xGdwMjIwmoAcPgfafW2vOH4dHv5OaLDRqgKpHCJRnBojbFGON3CCfDL2O9rtkaqGGsSph0Af439uVYB5n0mXr3qN8E1voOtUwpBIBw08QEStdkWS4BvYu\/RDE5WyCsQx4Yg+M\/YOzWkPWg5wiqKg1\/G4hroQNrAdoAp9GnNOsMA2ORUqi1VdSjVkWvUGmEFVoS72Aa5fShA+E2O9xGiHV0ckn06otZNgI41WN1hq3XEYWTD2qhW8QoEPPLHhlyjFphBdeD\/Ae9wJmlb49blvwmeRsvQwPpIFF+kmtqHhYi+Ti0IStjpry35lkzkMoc1G+o\/LLXOnW6dw1qm0bF0skKoNtuC9fbzqKTaxIJ\/jRz1OcEBGmH7eCKoMhjR30JoVhuDjMxjAzjkykGU1fmFgC5gkXMjZFi1y4EmtqZrhOmoJILpaMW\/TCxLV9Hz7XV9odxUv6Rc02Sr1reAyuYi9TxYYZZVVa\/5JbRK6kTdJ4OOH+H8OwesMRyhWzw6oJLE6FbxndgQx9EgIFEcKe24QqOcRgMsaIRGdpKPWA\/ISf2nmn7rLgVh\/ZYPBrR7VWhRLEcPrg4yP6P6NFSPUNSgTMO+oC9CvFXPEH4\/hVP6DjrqbPsVcP0kwAececoUmK+zhsxrOyComW8jzHVcYwZleAD8gjFJG9\/Q28Qy1dx2cfTP4T9o+rK9Ilk62Wg+53+JUkdlTDOa\/GWk1pH1Gkc4S1oLL1NBfEd4wPmcqTAOhNgAbQuLfRqhkr5BhLokVAyZv0ZDQIUMAkEJ1dcCKkURBk+NYOv9zeAgWfVjgXp\/P+aoX0iSGL\/zPjAMWSSg4roPGYQc08F8NivpDoYexCC7zATYnydf5FdJvY\/RPgjvld6C7oK0nx1+uxAZmQKRz4DPgF8H7m8U\/IFFkx17sU\/1rb1nQzZr7LPKmn2mrTXr1RfOnzbb\/VAI08M0aX+F0yKjo4AdhljY4FYgQgQFhnt7fYyM2vw7QFp\/EtRM8Jvg\/wS\/SavBS9n1QSQw4Kd9IwF+EIuwYW0ICFqO8bVYP0+SftYmBsLjQsbyyboKIUna5njNaQiKaXA+f0isUO3Gar2+3DSW2JV7ruEy9c0z577RUlWkzHYEzYcN1RA0yBAaXyV0Vte1LTh4Rf\/3QGsIgoZS4JD+MWDJsOVDQVBjTFRX3w1edF50DHaxKSHGdg1TBvmIyq7pEoY0CM2WOsYaDRRONs4GZLRtm1VnebUFDTlQp3CsJtTCZu2qhLVacoVYlc+i2tA1Fvp05IpcVTFdM9dJQPAMCvUg4xsMQapvYISEUGZ8egT1MRTOWVvwJOTwOh3obEHGmtEgOIf9BtZeXrdVzux0FHWj1tKrfiFUI\/GIM3w3FrRoitaCHHgb9h9RQyatIWRLBGXuHQacqWng3PK3V\/8j+DD+GdCm0MB2\/1iH9fkZOBAejzITS6xN3DsaCC0FX8n5xmpbHYod3ejrA78EPg1+yfs1FbyhAqLZlqQyWrYti7RWO6q+4YQUU7oGZIg6LcLUHYnUNV1ovkasGVYHSmG9s9iu0nBZQ1WlgmiEZV7BW5Rk6azTL5PEWC3cuFu2tcHVsGZXXyv\/vRmgd6qsWZZMTV394\/KLzl8Yu2VeX97gDG0NOLJsLtDr9Qq8WHvujKkQFf33ZYhWNi7LdkVo17GL6gvEGRIOY+nv6AMYHWwhYZJgTHdOQTfHlyOyrQyqeHPQwpqcHLGxGovepXM6Dc0QAa5i\/xem21AmGTtk1iH4EP5+zNFIiNCaRoBP4Y9glo3bEAW8LkHwiPnXJqjhDoHLviD4lvmg5QzaUEcWykqNWvbLqKa26TYOBu7ldji4aVq4bBDgRfPrFvcqY1s727RuUeC4ecrUTbwa5PE+CxpIp14CKTtvyJQ2VtcsSPAqr97TCmCjrSHwTh\/ZvF+hGigxpEU0guhTd0GUjFjjLcZqybZB1dH62uKXauvrT64tyAH52l999eLKy3w9oIc0\/PTfdCxDblgbbd1RGUO2n68vNBpLrXrdVKkO0pIu4xeNJXjOfK686Kyoa9eqqKraZsP\/6kA1YOISbQVDQFZVThl4jUZVyT59jyIQI0O4XyCc5sj6EBHq90Gy3tfi7VAZvZfzRUhfOxBhzCgypMbew8rYetgmdfxbqq5V4be1dVrjaFZFdOVqZyVgBsJIm6cJNQCMDRIIDCIFqiHo34JsZUYZE8dCWSvcHDDD+B6iXws2jjH\/ppmhgp0Uso0Mx8HHwQp+fq3TqFnma+Fl8zxesc+vN+pn6GWpoX\/T6Oimgum6\/V\/xTvAqXN+2Psr5\/U6UGAlsDZP9E0hUxkCQZehQNWQKdcfBMc4UBIYII0PaVoZHhpV0m28ld4FfdH4DxSqGKjmgobTUa7qhUFW7fUEjVU0iLJlYsuvBjVoFO69KcAU3mTGhAVsBFJEgEASsDE0CFUYItPNQXxTNUONWmEMJFoQ2mJbwMHjWfgzvjJjD7WDgHjliIlbNMCSsFTA0ydJq68aV0Mq9irmxbq6VrSbdlLCa9BXKJOgRgbpIIVQjWKM2aFOvybhmqi3FsdoEgFr\/10ZeoyxI2GEKEs7wGjoGsfGXA1hACBKYZK5jDkb3WQgJEcsPaBwJneMIqkVgQYkmKb\/T5x+03nUujhJLaLO\/\/paOZmtS0KxbAAfTtgpwFTKKfRQIxCT9q8A7fwVcf0IuKZeJC6baUPUFWO6rDeA+mYBDC0E\/GFSC9ig3SuBkP4Xwa6RBYvQq9kqECpwZLOOSQPou8Zjgo22hydFhG20EVuA6uNZ8mW4zkLCpS+q6b81aotocHJWhMtgA5T6KZxkgXKMstCFAXiAHSGmkHsG2yUNb+wV6kG2RMGhAqIz4g2Y\/Gg6E21MYTiBkNbDi\/G3ojL9p8BxGtqQr1vntb7vrIz8x9dapu6OkPXRl9H+AabAfTPeBc+h78cUL2hg2Ng5R38a7QFwh5PBCs0Jjv40\/if12YIijAjiZHtvpEDz4A3uSRg0KxgEhIRXfsr1Aytvezm7\/Gvgq2AMQZ5RsDOhbKNRm+YQRkIRXm+rzOMZbEEckTZHw1Q5KLa1dRdY07AKsB+pWi1jwXW6cal2TJfkq85+Y\/8NcwA0K8P7A5VCVgagPosxG\/Sxfw5e5JQzgAbaGkhwZeMm3PmLbutBmN\/gOMWwynM8ZwSmWRCnK5kg6SDsBP4Vsj7IgMoqPj6fkYTCkJtC7y1uwIMnQo9S7+3zE3fLwt7cvDl+cvByoghdbVwlDbfLvBb9nPa2yIXrcISSqoygk2W8kyRBFmCmNqKBWv8S88MUV6rIj4\/WNJr+hdZr2q9W+NloWtEDTqK6v6Ev9iK+lm42llZZ+lq6\/yv6Fcu7u0Bjar0SoYdXqY9ra2T6T7h+kKJ\/eWKqaG5iU5Gg7HNm9hTAoNBaMYm9p0gBCoJBmgH0UfAz5GdghFfvCVo1VO3VWAZ2OtVJefOYv16i2rQi6GfoC3yZXkW+qqtWmVp0VvdKS0cUAgrdCVaUqyaDGWIjE2L4NzsJWuRVjQ6jgJilQlnGNW4HLVbZ1afyMr49uGcv8Ennep8DljmPV7+rrk4gqi4Zbgz7MFCy2HSA5qf\/8+EiqqYwHbXgJOqF9wb1DO+BWfgf7IOhvTug4e3GhX92C30eGrIfNh6yHnSzuX80+5\/vG6BWk9sL6evVeHa7bsqo4MvklIBCXQLl8LaJKV5DF4DeatV3VkWt1\/VUJPT1yWa5cNdYastRc5C427HpIpp7rq+40NU3CtboKG\/byKipra\/6yo8mCaUqXDPr5P2xean8JvAwlEkEsRFU0rIVaDI9byDJ7RbjUVx3EMdiK8UPGClvGAU2x9tCu5T\/qVJwqaUZgiCf9xhjJ0Nvs1wg5EvWRwZ0GLJvDIXpE+VutUllVbb1Wq1Qv0SaD+BjSwHF7FIboc4wkmAOJzlmyQ2pbTWrKnCC2qyGJRHHO5LJIhTIEWpOqhiPhz1N6W7IkfFF7hr5MKEGbiMJ6YC0A0LSUQXcRQ\/Y\/0E+jEqnzOMaYnD9AhvCQNkbsIFj9n3Db34++TX0bzqENAiGyuKH\/HV63vtMXDrzdSSls854tL1MopOEO2kAr0ALvNSmcAA9IAhFAcrgF3g\/eT4BRSNlOg0FRxoC6Q4AX8D67AxCF1INoiyeADR9wkDKhEMMmqZg5EEKO2MgaJbGsQBI2fxUskxKnaTVa0dpE25A0m7poVfF1ukWMtu5GeH4FCYTXg8L4XW8ftTgYEMYCATZK\/ILkM\/qXnEsNe0l2X5kGm2h10QQ6penqeVhVNy4Nrnc02FnuhBo6CR5E\/tZSdXmZumo2eRX5eRwMo7ts0IJ3GasQGAhiazKuCkEJQHAS+W+WwtttahUbxMEk+iUbyNBv6DuBrO822vTG1pYhsW2jSp0DZWrVuCqAWVAEs95vyB8cG37\/1gd+JpO\/Dx9jIhZn6h3QoS\/fo\/UZY9w7tDEsGBhY4q2f3ALut5\/EVGzpLmVra6tCKQ3QKiPask8H6ssXZKpiU01WC63zKwTqtGmVYwU14mD+MOSCenBABQMJMAR+ieD77Z3suD7cGLbDFqE5CKXjBGkN1H1oX4Va0jbubll1or1FImp2p880rDWmbcjkoiIJjr4uWzWqrUtlxamtNRHtmq8NqXFdFEIgWt\/+8thy8iJTBXUC3G\/8E2K1ocICm5E4HDxo\/CmCtVHKgEPgGetXcfZdK1Etci18XjNqbdtsO8\/WymoFr+mnoYVUt68OmgQ5giHBMGRGtH6OwQI+cBr8W1txOow0ogBJapqwYdTpDZb2N1lkcMAQiO7YgugsG2HaTrmVBv8WtfCwssXHVGgdfCfyFbtJmSy+vTbkDPwEM+F8SPVDv\/k2bQu6jd\/hEJWA\/NbKfc2QuuVKWxtv1ZCFlqRerbQayHpNC6uoqaB1AiW1xlm0VpdBU1kk2tYzqBY2CTX0otWB4PecVx1cDsAGZVg42K7\/FxDEazHwrQxw0E8R1IKvGj7DfD1cR\/T2BfsSuYA\/azSoBvIF+fTaP+TsIB4eGWMHh30Ptunl2Lqvsx0fGdj1k3roQzqHs5X717bofjKhRewRhWyNyqAtlVXQt+o36GtMx9BX6yuSjn3LluW2uT4GDIvBMZ5GKIHEGZMIKrgaqQVVv+rI21dauqLiVr0jk+vyUsUATQH0KdxqX63PAQKOYdxfgZjzqm2wzD36IBMWBNYKjlfwVtAKqmY9ABnBGB4MIShu83UG3tMWUKJf5iDK6qTjZ60+qKT9As4iafouG1M1E10bUB5Q7tft1pJuG7jV12oZwGHrtiG0\/FYDJ4Sm3iBW2jV5WbtCscCQN8pmxa\/xbd1UMVmyvuNbH331514beKHvldTC25EPmWEFM8zWmuQs3V\/PbOyoiacTHawiqwa3Et0gXiZajIo0DfnqylJLciRKj1RGz5OqijZbV1R9wWksL2yAK7QqODSBc0GKtwlIDwcRSt6qvOMKIaPXApdImyRoM1zTzvAc1QTLBDJUZdvwRaMRWCM23vJNYaWvzl8GFZwm7eELgoJV+8GWSlRjdLJFXY2cZr6tbbz0nPRtxukLU6Z9NfxqQO8LsSa96pOhgxLAxwwI5PaLJMJFCGBbd4EmBlW7jNvUCAR3Wb+OAA0Cm7ZsCH7HeB6gEgQOpWNRMGlOoqcvXW13UJm19CZfb1Qs9Aq9FGjz62Bt51\/Tq+gSJfmUfpYPNgPQx7JOyMCa9xBDyCQ3Ym8VdtqCoQ+DrHXBOR9Yb6ySn29aGnNmSTEUdH1kfdgegAjNIlRrB9HX8TWGMF0AfczglnvW7lI0g8LBr5gHHFnndYvDwXuthxxT5VjVguBDaEolr+K0HVTgJ8DX0XdremOlrl2U\/K3X6kM6pg44o2yAMNiQyncowycDbJvJWajT1MyLfWXnNFdtVYzKmiLoa+iGIdGqamnfkhRjVaoSl2RS1cqfwxrGBY6jQoiuPDeclF\/EVkhz8C3IixRG9lvbfS3fCP8QVW7X0NfUi4OTFAk1n5\/dgZedC3QHWSUo5BqJkxq8m6iSCDVOAvtKP3Q01rAkBoNxZ0AJUD5jF6vRPnKAZ6wr5GLfTt7hOTxJOAjdYpsyFQybMEJonXuaK+8G94Cv4oBrMnpAI+xQg60tm1erqy1TbjdUua069YaCtCsNq76OLHWauKwvE8\/Ur6BVpWGvtNbRZ7gKvRg97b8ktCIyqLJ+PMzijAZx3oZBmiBNYoMKaGFshDcDnB3YmEA\/RhC0ReCQI7KsXxkO3NfvR3eaYXxnZZi4BwdFQycIDSMVwIKfNHfgEtr2axa+xmmG7Ccc1ofLkATQvB+XGVTVlWCFIjthCB4yd+FWO4hRzDqAIGcmccfwKxbVIWjwObOBGSi1sWUdhgxaViuMyYfBjPmTsMk03iaRVymdcsJt1FBhi2kO1+FrrDV4gdywFEzz36X5cVA090Bb4lQ5hIPfMB+FjsHxkkqAg+ZXoN3CMUKisXqIAmPW16HZIds4YBjAKKRq4yBg\/jQEbYLQSQLsNQah6ZBtP9726QYFho2\/InQzpIVojKjqTdIxCPBnxn8nHJlESUPxmTYB5o3PEsDCcX7I4lvnCPAFI0SYiiDzfoOsmRB82VChquIKx6s4BAWDIwwT1VhcJSH4LwZK0B0Mdx3EtdpvEmZER\/UNcoUgsCAB1o13EsBgWHxIbrqrHp814gTo+IZMQqqQ4DPGYUJt4zoENklgBg1BzfgdaGg+DBCyTYBXjd+H7mIOQWhQMwnwO8afQNWxKxRmkZDFwbLxKpQtDtgYBYB5AWpW3yrhYLRKAqaJQdAwZKiZqM431CEc\/JHxd5AxNcoyWTBpvo\/QFUrCbIrztwiA+XXfGlC1EPhd8yCh242QCqCiEHaDWIcG53cURWLWaRIJYiQOkJBBQMBaWwmrQ3VwTuFYcNmkiLqKyKSja2jHB5CAQZB+w4HgsoETjkIB22foEDxj\/BEECoEAWndY8D5DJWwFWizOmMEQNb7Y0FCn02mPga3GQQj8pF\/HTMUSVNSiiB3SB\/DBMmrjzAAQaN+KamnmV4wvo4ZgkqvMKb\/JojiuEz6yzX4O\/Ib1MaIzVIGGJS2voatrtsbW6GeJZnuBXlg\/h13V7JagGzru+NVgjedr1KpVM536oIwZBpTCNXzdNGW8MWCa5Hq\/EjxLGwypXHvZXBtcEyqDVUarYyaPk3VbM1QFtiiEaS1b6+V3tTkz3GLV0TY8g1vKtpeaL6tsDZrhFi1d8bXYVcP88taKXeGo2lAF6I5U7nQApmNGCGxdNDurGteMNDjAspTjk\/g1xuQaQjBAW0P+gMNdnKIttJ8gSAVfCZ9VZXhJ+U6g1bHsDqYNd\/xlwiEQhDUjKM5a9uXBBbIekfxVg0c5jgBkUBO2bfXhAk\/1a8SEGaTCwT7kbTjvg85OgkLuJneQEJ2UKDWAUbbQHqLTNk9FeODTCNzp+6vumq3vsrPILSh1M2B0zG\/Di4QZo8XI4Bjl0N+mG+ZZ0sQkozlQhlUfzrI0INeZDmcJJB3kbbJBEb5VP8FVuWHS6Oe2rVIRI0TtJAlCxUFozGfjq6TOEOjIuG8LyjSDBMNgH276Nd3m\/bTs74C7cIa237qy0wzhzaGr5BVSHUJg22kxCDlGIoNLrAP6le34dm1Y4hVEaqDDKon5OjuIERnKhlxRWDSoj4XvRreMTeqTba41hgy3mTpU\/Wb\/t3xXl9Z3dti6JvEtzMJXmxVBstVIlWroy1W8ARFKg+umLrOVP5U7qC5V7IaqonVzo7zMN02zzlXGGp2lgYsPdFjb14oYeM3WJKK6ITVeVFobobph8yZaM4kKY2KqVaaWZdt8qfGqtYLonISdqWlKlUKxNuEQCrmhr3Pgl9BjiAyIdaXDVQIoQxBBldQDsqryJHgQ\/QNEBcgS52KD2k4I\/gP67wFcJihLUCENPof+nGPbAuJjAGxozqC5pJs4+Cx6zAFVyBrUINCsbztNS6JeRSvNinOp0neepYi6H0U6AYqQCJtgKSkkEAzsJxk7sAWaTB09Dc46QaexBFqEbtZ1TWOuXVHLVaO52lRUKNt6W8VhiCApiwnZ21q4ZKwPdjY05\/L2hiavgaatG0iTUQYlvFytE5V70XEVL1dkBMhS+drL9Wb7FWyBasEVVsFWKUe9xL7A1q3Whb9dKl\/FGxx2VdswbOoVre67SmC4hZdNjVZ9XwdK0wRfFVasa0KdOku1dQ1RQpBcZFTMz\/n29TMURpOaosTgDrY5eE1QBFrZ2Rw4SzhWMKjdZeBrgXOjy6zFkVyNoRHKGKXXrfNYk7RohujYG5hFkJhu1ZkKssS\/bJ\/1dchVfhu3ikTJpnOFNmmcCtFvAduYAWzA6F\/dwg6AHRrF0RqNTkCZVe+yR9cZnUbAT1QxmVb2+HajKL4AbYHy3ye8fTCKm7swgWYH2J\/cINt+kyKHO3wbM7bWaYwAYaVfMg2oGCYOdoSGHbym1Snpnno\/NqJE8H5ldK0P+ixWw\/F7FL+SVJHVxRc3XlBUGoJJ5\/cM1fI1KLvZ5wev4KsYYJSApjsNxUGWAjpKqwhCUChUcQx1Aw88i\/8jpquEDjGE0jEc\/CW+AwdlnDa59wGBMMhrP72yVUPPXf76Z\/\/hs6\/90cVntcvkSvtrhM1TmFWuOjVirU1pS4Tc+o76TaVp\/W5zyW4gutAPEarMqojZ6FjXeJv0QZWh0CvsWcrUK2zlXivChwEgSA1nxzeodj\/NWWRzxGAo\/xCFIEG\/jGxj7uVVwBIWON49j3l3HLyM\/ymO12mk7SdBB+7BkbABjDpfB37TpsAZ\/O9xJ6gTliRDIHM1iiHAMv44bjigxak4lIIQfA3\/LG61aQIwuoWDL+OfwdEWLuggDr6IfYOgzmvPE42Bhb4vGjbRrH5hQPBhkMBtrKrIdpu+7FN9NQIlfaDGaxSNGRSkLXIUHaMshKfD8BdxinKUx+Rt5iMkJwnK6npr5colZsNaCmisttZutYwg2InXcCfa2O5Uy+eci7pc7ZhNwvGH2QXconm2g9xDEvioAN6Kc9BQcU2S7A6q+XTqEnY3F9IoK9hggALBFjwNiSWStfwyAkEe\/gfNNPiyGTFwAtwPP6mZKFdmTD3UwQnwBHyfpvF2FWsTJuinwH+Cv6y1LKxW54Rr4QbWp2yF4Dfhk5pmoorPkYUtgMEQpGNr6x1JDciYfPW8aVaFzoiCXOQ7AspruERZWJQXCAR1502OxYc5UvNt07dbmKS28BT4PLrioB3zIn0RrPfLGDNkBF\/YSfrVt+DGXTrHk4yPCCr8FgJr2p1rG9oiXSHA2DbiZ+5J4WPctk5TdyS6bK9tnLflPrBdpVqaLpllStKkyy1rSeWWz2xQ6xt2yKBbCAs09B3gWrBqqXVQY18Jt\/2Avs+IQJ4CX0BngbqzjRkLwqsBFAnrDAT\/DX0fcExW27L17AYOvog6QD\/j8ykjEKgoi5gdwiIYFeLgj1ERIC2mJY1A8AWUAOiqz9T6ZQICBnsbAGofKrGyAcHvYgcBUoMkMqC1CfA11EKoswJGEM3tbfMD4ElwDLPX109XtPoVfQm5vFZlNOayXkcXmDXhj9c1IMuSZmMVowNqaIvWh08Dace3gUS1t17zc+HFcMehJaZvGI\/YAYpC\/WzYJhgu\/DOMhKHmsEoajsFSQxxiDDdpbWd7BA6blEEYply\/ep+wLSQZw50hOKpiWsvEW2EY6QxZgx2sGZFRFtT0SdoxaUCoSFVdpspIoI8wsldBCFj6FUrto4adkE4pAME3QPu0bCAapTk1ai3S5m2LZgOI70FAOdOIMkax1s5guBZxMqxOkaTG7+AwXiUQ\/i6SBH4WgZR036tZZawTNjMwwArogKLVWN1ShY7e3qqSyIrhOFoZ05t4kzOhQnxNr1INswkvsGW1ja6U14IrWMuUzxqr2xdZhX72Q1qwhS5u1\/RdX\/Y9b58TjMHTQwu0hmzb+gKrDKGsEVnA12ra1WUgDa\/vkHCCAJw9j5oTJmNfxpqkAcGg\/QLqPE8vooL8Tgjusj+Hwgskpk6YMg5O2ixqoXxN9kPwsr2A2B1hledXByD4in0NMTGqgtMqRYDftEnUsoKrffVLccfAwQGbRB1jaHl1HAeP2oOoRrJ1k6HBn9vPIKYD9X6Jw3gDwavCAooDydJQjafP2cMMuGp9AGtTO74U+QskUItDA\/Dl8fb4e7o7BdC2djmw2HmmJVtN1UTKutkk20DdQNvKc\/wK2rJUqs5J1hnN0C4453QVXbubwvSIzK70raEUy4TUPgwfiPTT+NYXh9ohjA2zGCQbW9sNFZgQ3yIflT\/BjDOsMOr\/uWZU34IJ9YARsHasWZKCN61quXLaNFtrK53I+bEJ8E37c1hNr7fq1tVJw7IXlwckR\/\/WGkXUOrWKodeqWItSJf5q31W8TBJjFwWbrL3tC7QyJg1evI9y+mpDfQP2EMVLfcYO3Kf6iZD+QCWI3W2xme56qyWQKGR1nuQVmgx2SI0Fw81tNVWSVNYZaA4amhxoo0pN0mFrdU1yGj5ZNxcC6+zZgBokEbO6jJzjcGiwOL0OKpYeUOAV3uLa2jKu8o2INvKzbQr3qePMMEUcB08h\/54CZ4021qpdXVxfZVSV2CBtqin\/6eCqsip1MJUyyFeNOtaUGrSDveZr0F+lvoL8jf7FpfNw2ZIVwGg0wlD9KGGEXu3vF+5jyagRW4lK1gA+qfP0GPAFGDvov0cjdRsMMICs9Af9TligxgXW2SIEyatbebyf4VHGSrFEYIiMKH5spDlA9avbdFQ2FN43CUaN\/k5AHqk7HaXlU9BWs201t7U0k13tq9+3oVq7lEHN0mB7QHW0dd3sXEOv0TWwWmusbNGNJrNmloP\/Bvy185ITZqBE9GsRndYRi1dtOhQkrfs6rENgQ\/578bcwqDqM9VmUjOvhII7baDsAQ1UKhnMR1uyHZBBVgwoB3kGiDAuYfrL1oDxgbyECclQmy8r50XqnjVtLZEWt6xENV3Sj1kYNUyZlyyi3y6besbGKetX+p\/JlYZ4vYcrAGm5TJGoprznPmVJLtmRqDZRZDdXbG\/QqacFliPlVCpy3njX1FdYkIcJagonp1jvBnxhHHQnVGm1NajSFb8gtcgVUyA1p1aq3m0sNpVNpGivYK+HaNoUCRVAET3R\/u\/fx1iDsU+8GIZWHrCTAyBVecbbQA8GtkcGRB6yd\/WHGv\/0X8HfiDwR3ohlmCOxZTfvuI6JUkKVwv0Kr2+AWzrT6KyL1zh3g\/7b+OxZGGVW8t06Tw+WgFpDZVcJNXbq2il+O6IOrZFs1W1earUs1EmhNmSj7rUAncCHcAMJgZ5jbggbNiOAD1NqdnaJ3dore2Sn6v9dO0Tu74O7sgruzC+7OLrg7u+BubRfcnR1dd3Z03dnRdWdH1\/8\/d3S98R1Yd\/ZFGdadvVB39kLd2Qt1Zy\/Unb1Qd\/ZC3dkLdWcv1J29UHf2Qt3ZC3VnL9SdvVB39kLd2Qt1Zy\/Um7kX6s4+pjv7mP5X3sf0v9vens3dUUOCzzhfdxiB1yDG2AN+wo0M5985ECVCTJwBzyF7bGlAw1RdoRC8iVqKienlBPhLdBtNn1NXVcVAWhW0RZqwBTrmorKON7RvyhVUVWQdtDsNponopFnfQAzzMm+3WyjWlKVrtORXUdtSONNSI7rRCUk4gBIqNyXTMWRdJzXctHSi2YLgm+BjlLXSdyZYH9Bw8LjzGiUk7QApTIIXnLoVMNk2hXMKL9EbW67BZvMl+xXUIBBmmZEJSBvu5zmeUuuYRRKopbdJ3argLUjZTV8FYqaEmDRqr5EsZakN3nF0xeEVoKo6bO8EfwJ0VNrK9YcC\/rYfH1jkEL7DXqJrjEZuCBXrMqmTMGyzFbvJXsIsgWQa6P+AVR6Bbd6kaAoZ\/jbECZuN8NjYAGP5wGXnPzv4WkslruhVfENvYQqrjTK8MRAcIUIjfgGC30B22fi6\/Cq4TK\/dB6bAhxzB\/V8RNI+iep\/KckAPqVRbuzKyiJCETqDkhq\/GmEIVkqjGObBDAbyD45hGYJiK0bSO4dBCZQogsq9MLptNeFWpIJeiQLAP6vZAA7Uh5jM4Fge05LPulUIqqg7glHxvI6KGO3R15OJ7ywHjbohiLIECSucVx4k06WajiakMMjAAfhXRgfMi04YAaVFKhGfDjB0hWZuooiiuOBqpo9eYmqUFLhEWcdGuQZkAjyBvR\/A2bZE1n0NcdveCTKIyNBgNkYMYqIIPow5AwGD3qS23bQu3dOs5fw2c56q0RcmmRJtIgwPQx+CMTV5lZLhGN2gbtjgdBy+Zf6fpYbjDikAwYB01GIwxmPXWV1nQZ5HG5YXWqn2heRUsGKb\/nCU1akiF6LbpnCaqTlVt2Y1J8Az4JQwL0BAlFZGMgFE6jAR9Qfxu3xDmCw9M6Ayk\/LyOKJSDNpkyNAiEq0KI64w9vEisGwvIlYFn4OWtryEb9MJAP78jgNAsbZMwpPl4DkDweTxLKaq2Ebhk1knwDfyjlMAwAr2N65cSMoTgCr5KwWGORViKzoFPYf+VMm3LrzBV3ZTrchO32jLqvCTXNHKdtJabZe2F+msmadlgA5csSXPQttqmLCDTunCNwIXXrBZxiauwlv0SvehUcNNq4KZe55t+g2z5LN8F2jTrsGY2sNXQOeIK3WR1Evyd+WENvGK1G2X7+Ual3NwNCPASur5dHcIehow1LiErmibXNRnVyarZJuWWRCw6tY2OoKBtVtL1PkdWMVu30M52exckFdbpl3hFNzBFQIKqI\/P+nzAiCmVtbfiDPhhojpo61tHkDq75VaQV1R2z3bawSQzk7SQECHD6u0+tj8At+gAyKE9QO4ejMMS\/Vw+j\/ULCLzASgwU2SDJKBGnY12LVu0OABu93GqPIqG\/U3hoMOD46wvLEOEn4dhIf4QSsn0HsERM1g4Nd7SgdbxhrWIVs+zvWJfKy3ao39XWirFd8F8AKbfjOw\/PMOkRJDVQJBavTYMP+E5J36CuN1\/CWYVm4Yxg8AVbsj5HSEMSaAvCpPgL8O\/sZIpSkOdLy4bSOg9\/FTlMLjDOpbgmBP3Z+yvK3ORisBl4hTHhBb156Qb5iX2xdttuh15ANo4G81LjsrEfAs\/aXLcNkypyB4X5AhXycD2V0wfE1WJIEfRLnuNlcaNMrfBPpzP7Io\/TDq2fmioWZmdnZmeJMtzh7+4\/igSf2F2bmSrOzhdk355gpPjw7PTszNztbLLxZHGdOFqa954JbvP0sCzOF2WJhZnamWJxx+\/H2a+rympmfLZRm3qyunJt9qjQ7O1cozM2WSoXZ4pvBszg\/Xyw+XirMzc66sXL7FZ2bL87OFqcPPF18fLYwUyq8Cdade6o0N3\/qiYfnnpwpzc6U3pzenJ9\/6unSyULpwPx8ca70ZnjP\/Pypp06VSsW5wnzXmf6FdLAZybDU7cL54tyTc70UfLtZzpWKJ\/fPnpyZnS3Nzd6CWTchiOaePjXvJbn5uVLpX9ZiM+L2qZKbCoqFN2XI6jls6alT3QxQmL0ly26KlsW5YqFQnLu1zizObIaWszNuXMzP\/IhpwyZHyamnZmcL7lhyi0PdJrjsqfm52ULhloXfpCiZL\/bsdQsJb3NYFueevD5m\/YssS5vgP3NPl1wVb53S62VZ\/OEuOztXcid4t8V\/ioXCDw4lM8XCTGn2dvlP8QfsMjc\/\/\/qs9cb9x2N5a2ngx8k\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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-nho2wem9.nxe :where(*,*::before,*::after){box-sizing:inherit}#nxe-nho2wem9.nxe :where(section,header,footer,nav,aside){display:block;margin:0 0 32px}#nxe-nho2wem9.nxe :where(h1,h2,h3,h4){line-height:1.2;margin:24px 0 12px;font-weight:600}#nxe-nho2wem9.nxe :where(p,ul,ol,dl,table,figure,details){margin:0 0 16px}#nxe-nho2wem9.nxe :where(ul,ol){padding-left:20px}#nxe-nho2wem9.nxe a{color:inherit;text-decoration:underline;text-underline-offset:2px}#nxe-nho2wem9.nxe table{border-collapse:collapse;width:100%;display:block;overflow-x:auto}#nxe-nho2wem9.nxe :where(th,td){padding:6px 8px;text-align:left;vertical-align:top;border-bottom:1px solid;border-color:inherit}#nxe-nho2wem9.nxe svg{display:none}#nxe-nho2wem9.nxe svg.nx-i{display:inline-block;width:18px;height:18px;vertical-align:-3px}#nxe-nho2wem9.nxe :where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-nho2wem9.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-hero\" data-layout=\"dossier\" aria-labelledby=\"nx-title-1\"><div class=\"nx-container\"><div class=\"nx-theme-toggle\" role=\"group\" aria-label=\"Appearance of this page\" hidden><button type=\"button\" data-mode=\"light\" aria-pressed=\"false\">Light<\/button><button type=\"button\" data-mode=\"dark\" aria-pressed=\"false\">Dark<\/button><button type=\"button\" data-mode=\"auto\" aria-pressed=\"true\">Auto<\/button><\/div><div class=\"nx-folio\" aria-label=\"Document reference\"><strong>A-P04 \u00b7 TOPIC \u00b7 scenario-analysis<\/strong>GRA dossier \u00b7 service level R0<\/div><div class=\"nx-hero-grid\"><div class=\"nx-hero-text\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">GRA<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">Climate and Nature Financial Risk<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">In development<\/span><\/div><div class=\"nx-accent-row\"><span class=\"nx-accent-rule\" aria-hidden=\"true\"><\/span><span>Topic dossier \u00b7 Climate and Nature Financial Risk<\/span><\/div><h1 id=\"nx-title-1\" class=\"nx-hero-title\">Scenario analysis<\/h1><p class=\"nx-tagline\">Climate scenario analysis asks how financial institutions would fare under different climate and policy pathways. Supervisors use it in exploratory exercises; firms use it to test strategy and meet disclosure rules. Scenarios translate emissions, temperatures and policy into macroeconomic and sector variables, then into losses. This page sets out how climate scenario analysis works, where it falls short, and who decides how it is used.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/globalriskalliance.com\/climate-nature-financial-risk\/contact\/\">Make an enquiry <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/globalriskalliance.com\/climate-nature-financial-risk\/topics\/\">Back to Topics<\/a><\/div><\/div><div class=\"nx-hero-panel\"><div class=\"nx-register\"><div class=\"nx-register-head\"><span class=\"nx-eyebrow\"><strong>Dossier<\/strong><\/span><span class=\"nx-eyebrow\">A-P04 \u00b7 topic<\/span><\/div><ol class=\"nx-register-rows\"><li><a href=\"#nx-sec-brief-answer\"><span class=\"nx-register-n\">01<\/span><span class=\"nx-register-k\">In brief<\/span><span class=\"nx-register-v\">Definition and scope<\/span><\/a><\/li><li><a href=\"#nx-sec-question\"><span class=\"nx-register-n\">02<\/span><span class=\"nx-register-k\">The question<\/span><span class=\"nx-register-v\">4 mechanisms<\/span><\/a><\/li><li><a href=\"#nx-sec-terms\"><span class=\"nx-register-n\">03<\/span><span class=\"nx-register-k\">Key terms<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">3<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-field\"><span class=\"nx-register-n\">04<\/span><span class=\"nx-register-k\">Field<\/span><span class=\"nx-register-v\">H3 field plate<\/span><\/a><\/li><li><a href=\"#nx-sec-indicators\"><span class=\"nx-register-n\">05<\/span><span class=\"nx-register-k\">Indicators<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">6<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-pipeline\"><span class=\"nx-register-n\">06<\/span><span class=\"nx-register-k\">Pipeline<\/span><span class=\"nx-register-v\">Run graph<\/span><\/a><\/li><li><a href=\"#nx-sec-sources\"><span class=\"nx-register-n\">07<\/span><span class=\"nx-register-k\">Sources<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">5<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-decisions\"><span class=\"nx-register-n\">08<\/span><span class=\"nx-register-k\">Decision holders<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">4<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-methods\"><span class=\"nx-register-n\">09<\/span><span class=\"nx-register-k\">Methods<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">4<\/span><\/span><\/a><\/li><\/ol><p class=\"nx-register-foot\">GRA \u00b7 In development \u00b7 service level R0<\/p><\/div><\/div><\/div><\/div><\/section> <nav class=\"nx-index-strip\" data-nx-spy=\"true\" aria-label=\"On this page\"><div class=\"nx-container\"><a href=\"#nx-sec-brief-answer\"><span>01<\/span>The short answer<\/a><a href=\"#nx-sec-field\"><span>02<\/span>A loan book under scenario families<\/a><a href=\"#nx-s-4-sec\"><span>03<\/span>Climate scenario analysis, in outline<\/a><a href=\"#nx-sec-question\"><span>04<\/span>Scenario analysis: how the risk\u2026<\/a><a href=\"#nx-sec-terms\"><span>05<\/span>Terms used on this page<\/a><a href=\"#nx-sec-indicators\"><span>06<\/span>What is measured, and how well<\/a><a href=\"#nx-sec-pipeline\"><span>07<\/span>From sources to decisions<\/a><a href=\"#nx-sec-sources\"><span>08<\/span>Where the evidence comes from<\/a><\/div><\/nav> <section id=\"nx-sec-brief-answer\" class=\"nx-section\" data-hue=\"climate\" data-variant=\"split\" aria-labelledby=\"nx-s-2\"><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\">In brief<\/span><\/div><h2 id=\"nx-s-2\" class=\"nx-section-title\">The short answer.<\/h2><p class=\"nx-lede\">Climate scenario analysis is the assessment of how financial institutions would fare under alternative climate and policy pathways. Scenarios such as the NGFS set are translated into macroeconomic, sector and credit variables, adding uncertainty at each step. Supervisors, boards, disclosure preparers and the NGFS decide how it is used.<\/p><\/div><\/div><\/section><section id=\"nx-sec-field\" class=\"nx-section\" data-hue=\"biodiversity\" data-tone=\"alt\" aria-labelledby=\"nx-s-3\"><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-3\" class=\"nx-section-title\">A loan book under scenario families.<\/h2><p class=\"nx-lede\">How physical and transition risk could reach a loan book under different scenarios. Illustrative design values.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><figure class=\"nx-fk nx-sf\" data-fk=\"climate-stress\" data-gl=\"sf:climate-stress\" data-sf=\"climate-stress\" data-sx-credit=\"Natural Earth (public domain) | relief: Mapzen Terrain Tiles | design values; NGFS names as labels only\" data-sx-src=\"Natural Earth ~ public domain ~ https:\/\/www.naturalearthdata.com\/ | Mapzen Terrain Tiles relief (SRTM, GMTED2010, ETOPO1) ~ attribution as published by Mapzen ~ https:\/\/github.com\/tilezen\/joerd\/blob\/master\/docs\/attribution.md | Design scenario values by the Global Risks Alliance ~ illustrative, not data\" data-sf-learn-views=\"waterfall\" aria-label=\"Interactive map: a design loan book over Europe, coloured by a design loss-sensitivity score. The panel chooses layers, a scenario family and a horizon.\" data-nx-z=\"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\"><figcaption class=\"nx-fk-cap\"><span>A loan book across Europe under physical and transition risk.<\/span><span data-honesty=\"true\">Design values; NGFS scenario names are labels only, not stress test results.<\/span><\/figcaption><\/figure><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"map\" data-nxf-kind=\"map\" data-nxf-resource=\"nexus:\/\/gra\/A-P04\/topics\/scenario-analysis\/#map\" data-nxf-title=\"Climate and Nature Financial Risk live map\" data-nxf-height=\"560\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-s-4-sec\" class=\"nx-section\" data-hue=\"finance\" aria-labelledby=\"nx-s-4\"><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\">Console<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">Climate scenario analysis, in outline.<\/h2><p class=\"nx-lede\">The working screen behind this subject: its structure, terms and states. Names are placeholders and values illustrative.<\/p><\/div><div class=\"nx-section-body\"><figure class=\"nx-fk nx-cx\" data-fk=\"cx-climfin-scenarios\" data-cx=\"climfin.scenarios\" data-variant=\"section\" aria-label=\"Climate scenario analysis: illustrative console with placeholder names and values\"><div class=\"nx-fk-head\"><div class=\"nx-fk-heading\"><h3 class=\"nx-fk-title\">Climate scenario analysis<\/h3><p class=\"nx-fk-sub\">Scenario analysis \u00b7 Bank loan book \u00b7 Exercise 2<\/p><\/div><div class=\"nx-fk-actions\"><button type=\"button\" class=\"nx-fk-btn\" data-fk-act=\"menu\" aria-haspopup=\"true\" aria-expanded=\"false\" hidden><svg viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M12 4v11\"\/><path d=\"m7 10 5 5 5-5\"\/><path d=\"M5 20h14\"\/><\/svg>Export<\/button><ul class=\"nx-fk-menu\" data-fk-menu=\"true\" hidden><li><button type=\"button\" data-fk-act=\"export-png\">Image<small>PNG of the map or chart<\/small><\/button><\/li><li><button type=\"button\" data-fk-act=\"export-csv\">Data<small>CSV of the figure's values<\/small><\/button><\/li><\/ul><\/div><\/div><div class=\"nx-cx-status\"><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Disorderly case breaches appetite<\/span><span class=\"nx-cx-prod\">GRA \u00b7 Climate and Nature Financial Risk<\/span><\/div><div class=\"nx-cx-grid\"><div class=\"nx-fk-panel nx-cx-p\" data-w=\"6\" data-t=\"steps\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Scenario pipeline<\/h4><\/div><\/div><ol class=\"nx-cx-steps\" data-n=\"7\"><li data-st=\"done\"><span class=\"nx-cx-sn\">Select scenarios<\/span><span class=\"nx-cx-snote\">orderly \u00b7 disorderly \u00b7 hot house<\/span><\/li><li data-st=\"done\"><span class=\"nx-cx-sn\">Pathways<\/span><span class=\"nx-cx-snote\">carbon price \u00b7 GDP<\/span><\/li><li data-st=\"done\"><span class=\"nx-cx-sn\">Sector impacts<\/span><span class=\"nx-cx-snote\">margins<\/span><\/li><li data-st=\"done\"><span class=\"nx-cx-sn\">Physical hazards<\/span><span class=\"nx-cx-snote\">assets<\/span><\/li><li data-st=\"now\"><span class=\"nx-cx-sn\">Credit parameters<\/span><span class=\"nx-cx-snote\">PD \u00b7 LGD<\/span><\/li><li data-st=\"todo\"><span class=\"nx-cx-sn\">Portfolio loss<\/span><span class=\"nx-cx-snote\">capital<\/span><\/li><li data-st=\"todo\"><span class=\"nx-cx-sn\">Disclose<\/span><span class=\"nx-cx-snote\">limits<\/span><\/li><\/ol><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"3\" data-t=\"matrix\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">PD uplift by sector and scenario<\/h4><p class=\"nx-fk-panel-sub\">basis points, illustrative<\/p><\/div><\/div><div class=\"nx-fk-chart\"><svg class=\"nx-fk-svg\" viewBox=\"0 0 422 166\" width=\"422\" height=\"166\" role=\"img\" focusable=\"false\" preserveAspectRatio=\"xMidYMid meet\" aria-label=\"PD uplift by sector and scenario\" data-fk-chart=\"cx-climfin-scenarios-heat\" data-nx-z=\"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\"><\/svg><\/div><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"3\" data-t=\"chart\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Expected loss path<\/h4><\/div><\/div><svg class=\"nx-fk-svg\" viewBox=\"0 0 460 210\" width=\"460\" height=\"210\" role=\"img\" aria-label=\"Expected loss path\" focusable=\"false\" tabindex=\"0\" preserveAspectRatio=\"xMidYMid meet\" data-fk-chart=\"cx-climfin-scenarios-c2\" data-fk-xs=\"lin,0,23,36,446\" data-fk-ys=\"lin,0,100,180,20\" data-fk-series=\"Disorderly|ink|l||0:46.5;1:51.5;2:48.8;3:54.8;4:55.4;5:57.5;6:59.6;7:63.4;8:62.5;9:67;10:71.7;11:69.9;12:69.5;13:69.6;14:66.4;15:62.6;16:62.4;17:67.5;18:66.7;19:69.4;20:74.4;21:74.1;22:70.1;23:71.5~Hot house|acc|l||0:48.8;1:48.6;2:49.7;3:49.2;4:46.4;5:50.3;6:54.5;7:55.4;8:57.2;9:55;10:57.7;11:62.7;12:64.7;13:64.3;14:64.7;15:66.9;16:69.9;17:69.6;18:70.3;19:71.4;20:71.3;21:75.4;22:79;23:80.8\" data-nx-z=\"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\"><\/svg><\/div><\/div><div class=\"nx-fk-tip\" aria-hidden=\"true\" hidden><\/div><figcaption class=\"nx-fk-cap\"><span>Climate scenario analysis: the screen's structure, terms and states for Scenario analysis.<\/span><span data-honesty=\"true\">Placeholder names and illustrative values; a design, not a record or a live system.<\/span><\/figcaption><\/figure><\/div><\/div><\/section><section id=\"nx-sec-question\" class=\"nx-section\" data-hue=\"climate\" data-tone=\"alt\" aria-labelledby=\"nx-s-5\"><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\">The question<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">Scenario analysis: how the risk develops.<\/h2><p class=\"nx-lede\">Horizon, assumptions and limitations. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-cells\" data-cols=\"2\"><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 3v18h18\"\/><path d=\"m19 9-5 5-4-4-3 3\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Scenarios set narratives<\/h3><p class=\"nx-p nx-mt-1\">Reference scenarios such as those from the NGFS describe orderly, disorderly and hot-house paths. Each implies different carbon prices, damages and growth.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"m12.83 2.18a2 2 0 0 0-1.66 0L2.6 6.08a1 1 0 0 0 0 1.83l8.58 3.91a2 2 0 0 0 1.66 0l8.58-3.9a1 1 0 0 0 0-1.83Z\"\/><path d=\"m22 17.65-9.17 4.16a2 2 0 0 1-1.66 0L2 17.65\"\/><path d=\"m22 12.65-9.17 4.16a2 2 0 0 1-1.66 0L2 12.65\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Translation adds uncertainty<\/h3><p class=\"nx-p nx-mt-1\">Scenario variables must be translated into sector output, firm revenues, property values and default probabilities. Each step adds model uncertainty.<\/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=\"M5 22h14\"\/><path d=\"M5 2h14\"\/><path d=\"M17 22v-4.172a2 2 0 0 0-.586-1.414L12 12l-4.414 4.414A2 2 0 0 0 7 17.828V22\"\/><path d=\"M7 2v4.172a2 2 0 0 0 .586 1.414L12 12l4.414-4.414A2 2 0 0 0 17 6.172V2\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Horizons outrun balance sheets<\/h3><p class=\"nx-p nx-mt-1\">Climate effects unfold over decades; balance sheets turn over in years. Static balance sheet assumptions make long-horizon results illustrative.<\/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=\"M2 12s3-7 10-7 10 7 10 7-3 7-10 7-10-7-10-7Z\"\/><circle cx=\"12\" cy=\"12\" r=\"3\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Damage functions understate tails<\/h3><p class=\"nx-p nx-mt-1\">Many scenario damage estimates omit tipping points, compound events and indirect effects, which can understate severe outcomes.<\/p><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-terms\" class=\"nx-section\" data-hue=\"biodiversity\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-6\"><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\">Key terms<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">Terms used on this page.<\/h2><p class=\"nx-lede\">Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Term<\/th><th scope=\"col\">Definition<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Term\">Orderly transition<\/td><td data-label=\"Definition\">A scenario in which climate policy is introduced early and becomes gradually more stringent.<\/td><\/tr><tr><td data-label=\"Term\">Hot house world<\/td><td data-label=\"Definition\">A scenario in which limited policy action leads to severe physical risk.<\/td><\/tr><tr><td data-label=\"Term\">Damage function<\/td><td data-label=\"Definition\">A relationship between climate change and economic loss used in scenario models.<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-indicators\" class=\"nx-section\" data-hue=\"finance\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-7\"><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\">Indicators<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">What is measured, and how well.<\/h2><p class=\"nx-lede\">Each indicator carries its unit, its cadence, the kind of source behind it and the evidence label a value would carry. No values are shown: a programme supplies them under its own authority.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Indicator<\/th><th scope=\"col\">Unit<\/th><th scope=\"col\">Cadence<\/th><th scope=\"col\">Source type<\/th><th scope=\"col\">Label<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Indicator\">Credit loss under climate scenarios<\/td><td data-label=\"Unit\">currency or basis points of exposure<\/td><td data-label=\"Cadence\">per exercise<\/td><td data-label=\"Source type\">Supervisory and internal exercises<\/td><td data-label=\"Label\"><span class=\"nx-chip\">MODELLED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Change in probability of default by sector<\/td><td data-label=\"Unit\">percentage points<\/td><td data-label=\"Cadence\">per exercise<\/td><td data-label=\"Source type\">Scenario models<\/td><td data-label=\"Label\"><span class=\"nx-chip\">MODELLED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Insurance losses under physical scenarios<\/td><td data-label=\"Unit\">currency<\/td><td data-label=\"Cadence\">per exercise<\/td><td data-label=\"Source type\">Insurer scenario analysis<\/td><td data-label=\"Label\"><span class=\"nx-chip\">MODELLED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Portfolio value change under transition scenarios<\/td><td data-label=\"Unit\">percent<\/td><td data-label=\"Cadence\">per exercise<\/td><td data-label=\"Source type\">Investor scenario analysis<\/td><td data-label=\"Label\"><span class=\"nx-chip\">MODELLED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Supervisory climate exercises completed<\/td><td data-label=\"Unit\">count by authority<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Supervisor publications<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OFFICIAL<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Scenario variables published<\/td><td data-label=\"Unit\">count of variables and regions<\/td><td data-label=\"Cadence\">per vintage<\/td><td data-label=\"Source type\">NGFS scenario database<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OFFICIAL<\/span><\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"indicators\" data-nxf-kind=\"indicator\" data-nxf-resource=\"nexus:\/\/gra\/A-P04\/topics\/scenario-analysis\/#indicators\" data-nxf-title=\"Indicators\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-pipeline\" class=\"nx-section\" data-hue=\"climate\" data-tone=\"alt\" aria-labelledby=\"nx-s-8\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">07<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Canvas<\/span><\/div><h2 id=\"nx-s-8\" class=\"nx-section-title\">From sources to decisions.<\/h2><p class=\"nx-lede\">The topic as a computational graph: named sources feed the methods, an evidence review gates the outputs, and the decisions stay with the authorities that hold them.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-plate\" data-wide=\"true\"><div class=\"nx-plate-label\"><span class=\"nx-eyebrow\"><strong>Pipeline canvas<\/strong> \u00b7 Scenario analysis as a run graph<\/span><span class=\"nx-eyebrow\">Design, not a record<\/span><\/div><div class=\"nx-figure-frame\" data-scene=\"true\"><svg class=\"nx-figure nx-ui nx-dag\" viewBox=\"0 0 1200 564\" data-nx-dag=\"true\" data-w=\"1200\" data-h=\"564\" role=\"img\" aria-labelledby=\"nx-dag-a-p04-topics-scenario-analysis-ngfs-t nx-dag-a-p04-topics-scenario-analysis-ngfs-d\" 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id=\"nx-dag-a-p04-topics-scenario-analysis-ngfs-t\">Scenario analysis: climate scenario analysis pipeline<\/title><desc id=\"nx-dag-a-p04-topics-scenario-analysis-ngfs-d\">Orderly, disorderly and hot house scenarios supply pathways for carbon prices and macro variables; transition and physical channels change sector and asset outcomes; credit parameters and portfolio losses follow, and results are disclosed with their limits. Design of the process, not a record of a run.<\/desc><\/svg><\/div><\/div><p class=\"nx-caption\"><strong>Fig. 02<\/strong><span>Nodes carry their type, two metric rows and a state; connectors show what feeds what; dashed frames name the owners; the timeline is the cadence. Design of the pipeline, not a record of a run.<\/span><\/p><\/div><\/div><\/section><section id=\"nx-sec-sources\" class=\"nx-section\" data-hue=\"biodiversity\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-9\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">08<\/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 the evidence comes from.<\/h2><p class=\"nx-lede\">Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Source<\/th><th scope=\"col\">What it gives<\/th><th scope=\"col\">Licence class<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Source\">NGFS Scenarios Portal and database<\/td><td data-label=\"What it gives\">Long-term and short-term climate scenarios with variables<\/td><td data-label=\"Licence class\">Free, NGFS terms<\/td><\/tr><tr><td data-label=\"Source\">ECB economy-wide climate stress test and supervisory exercise reports<\/td><td data-label=\"What it gives\">Methods and results of euro area exercises<\/td><td data-label=\"Licence class\">Free, ECB terms<\/td><\/tr><tr><td data-label=\"Source\">Bank of England Climate Biennial Exploratory Scenario report<\/td><td data-label=\"What it gives\">Exploratory scenario exercise for banks and insurers<\/td><td data-label=\"Licence class\">Free, Bank of England terms<\/td><\/tr><tr><td data-label=\"Source\">Federal Reserve pilot climate scenario analysis report<\/td><td data-label=\"What it gives\">Exploratory exercise with large United States banks<\/td><td data-label=\"Licence class\">Public domain<\/td><\/tr><tr><td data-label=\"Source\">IPCC AR6 scenario database<\/td><td data-label=\"What it gives\">Emissions and climate pathways<\/td><td data-label=\"Licence class\">Free, terms per dataset<\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/gra\/A-P04\/topics\/scenario-analysis\/#evidence\" data-nxf-title=\"Sources\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-decisions\" class=\"nx-section\" data-hue=\"finance\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-10\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">09<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Decisions<\/span><\/div><h2 id=\"nx-s-10\" class=\"nx-section-title\">Who decides, and what the evidence serves.<\/h2><p class=\"nx-lede\">Climate and Nature Financial Risk prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.<\/p><\/div><div class=\"nx-section-body\" data-lv=\"ledger\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Who decides<\/th><th scope=\"col\">The question<\/th><th scope=\"col\">Evidence this page serves<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Who decides\">Supervisors and central banks<\/td><td data-label=\"The question\">Which scenarios to use and how results inform supervision<\/td><td data-label=\"Evidence this page serves\">Scenario design, exercise findings and limits<\/td><\/tr><tr><td data-label=\"Who decides\">Bank, insurer and investor boards<\/td><td data-label=\"The question\">How scenario results inform strategy and risk appetite<\/td><td data-label=\"Evidence this page serves\">Internal and supervisory scenario results<\/td><\/tr><tr><td data-label=\"Who decides\">Disclosure preparers<\/td><td data-label=\"The question\">How to report scenario analysis under IFRS S2<\/td><td data-label=\"Evidence this page serves\">Standard requirements and peer practice<\/td><\/tr><tr><td data-label=\"Who decides\">The NGFS<\/td><td data-label=\"The question\">How scenarios are updated<\/td><td data-label=\"Evidence this page serves\">User feedback and research<\/td><\/tr><\/tbody><\/table><\/div><h3 class=\"nx-h4 nx-mt-4\">Outputs this topic produces<\/h3><ul class=\"nx-list\"><li>Guide to climate scenario families and their assumptions<\/li><li>Method note on translating scenarios to credit and market risk<\/li><li>Brief on the limits of damage functions<\/li><li>Questions for boards using scenario results<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-core-questions\" class=\"nx-section\" data-hue=\"climate\" data-tone=\"alt\" aria-labelledby=\"nx-s-11\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">10<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Core questions<\/span><\/div><h2 id=\"nx-s-11\" class=\"nx-section-title\">What scenario designers ask.<\/h2><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\"><li>What question is the scenario meant to answer, and over what horizon?<\/li><li>Which pathways, such as orderly, disorderly or hot-house futures, are relevant?<\/li><li>How are physical and transition effects combined?<\/li><li>How sensitive are results to assumptions, and how should they be communicated?<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-mechanisms\" class=\"nx-section\" data-hue=\"biodiversity\" data-variant=\"split\" aria-labelledby=\"nx-s-12\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">11<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Mechanisms<\/span><\/div><h2 id=\"nx-s-12\" class=\"nx-section-title\">Why scenarios rather than forecasts.<\/h2><\/div><div class=\"nx-section-body\"><p class=\"nx-p\">Climate and nature risks unfold over decades under deep uncertainty about policy, technology and the climate system. History is a poor guide, and probabilities for different futures are not well defined. Scenarios address this by exploring a range of internally consistent futures, often based on reference sets such as those published by the Network for Greening the Financial System.<\/p><p class=\"nx-p nx-mt-2\">Scenario results depend heavily on their assumptions and on the models used to translate them into economic and financial terms. Many models have historically understated physical damages, omitted tipping points and assumed smooth adjustment, which may make severe outcomes look milder than they could be.<\/p><\/div><\/div><\/section><section id=\"nx-sec-methods-and-data\" class=\"nx-section\" data-hue=\"finance\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-13\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">12<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods and data<\/span><\/div><h2 id=\"nx-s-13\" class=\"nx-section-title\">Building and using scenarios.<\/h2><\/div><div class=\"nx-section-body\"><ol class=\"nx-rows\"><li><span class=\"nx-eyebrow nx-index\">01<\/span><div><h3 class=\"nx-h4\">Reference scenarios<\/h3><p class=\"nx-p nx-mt-1\">Using shared pathways for comparability, with <a class=\"nx-link\" href=\"https:\/\/globalriskalliance.com\/climate-nature-financial-risk\/stem\/scenario-stress\/\">scenario design and stress testing<\/a>. Reference scenarios may not fit every institution's question.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">02<\/span><div><h3 class=\"nx-h4\">Integrated assessment and macro models<\/h3><p class=\"nx-p nx-mt-1\">Linking emissions, policy and the economy, with <a class=\"nx-link\" href=\"https:\/\/globalriskalliance.com\/climate-nature-financial-risk\/stem\/financial-economics\/\">financial economics and macro-finance<\/a>. Damage functions are a known weakness.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">03<\/span><div><h3 class=\"nx-h4\">Sector and asset translation<\/h3><p class=\"nx-p nx-mt-1\">Mapping macro paths to sectors and assets. Each translation step adds uncertainty.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">04<\/span><div><h3 class=\"nx-h4\">Sensitivity and reverse stress testing<\/h3><p class=\"nx-p nx-mt-1\">Testing which assumptions matter most and what would cause severe outcomes.<\/p><\/div><\/li><\/ol><\/div><\/div><\/section><section id=\"nx-sec-methods\" class=\"nx-section\" data-hue=\"climate\" aria-labelledby=\"nx-s-14\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">13<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods<\/span><\/div><h2 id=\"nx-s-14\" class=\"nx-section-title\">How it is studied, and what the methods cannot say.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-methods\" data-limits=\"true\"><ol class=\"nx-mledger\" aria-label=\"Methods\"><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskalliance.com\/climate-nature-financial-risk\/stem\/scenario-stress\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">01<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Scenario design and stress testing<\/span><span class=\"nx-mledger-role\">Translating NGFS scenarios \u00b7 Short-term climate scenarios \u00b7 Dynamic balance sheets<\/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\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><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\/scenario-stress\/\" aria-label=\"Scenario design and stress testing: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskalliance.com\/climate-nature-financial-risk\/stem\/climate-science\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">02<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Climate and atmospheric science<\/span><span class=\"nx-mledger-role\">Hazard projections for portfolios \u00b7 Tail and compound hazards \u00b7 Scenario physical variables<\/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\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><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\/science\/climate-science\/\" aria-label=\"Climate and atmospheric science: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskalliance.com\/climate-nature-financial-risk\/stem\/financial-economics\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">03<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Financial economics and macro-finance<\/span><span class=\"nx-mledger-role\">Credit risk transmission \u00b7 Market pricing studies \u00b7 Cross-sector transmission<\/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\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><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\/science\/financial-economics\/\" aria-label=\"Financial economics and macro-finance: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskalliance.com\/climate-nature-financial-risk\/stem\/spatial-statistics\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">04<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Spatial statistics and geostatistics<\/span><span class=\"nx-mledger-role\">Geolocating exposures \u00b7 Aggregating location risk \u00b7 Resolution sensitivity<\/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\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><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\/spatial-statistics\/\" aria-label=\"Spatial statistics and geostatistics: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><\/ol><aside class=\"nx-limits\" aria-label=\"What the methods cannot say\"><span class=\"nx-eyebrow\">What the methods cannot say<\/span><p class=\"nx-limits-text\">Climate scenarios are not forecasts and carry deep uncertainty. Damage functions are debated and may understate severe outcomes. Translation to financial variables involves many assumptions. Results are not comparable across exercises. Climate and Nature Financial Risk explains methods; it does not run scenarios for any institution or give investment advice.<\/p><\/aside><\/div><\/div><\/div><\/section><section id=\"nx-s-15-sec\" class=\"nx-section\" data-hue=\"biodiversity\" data-tone=\"alt\" aria-labelledby=\"nx-s-15\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">14<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Questions<\/span><\/div><h2 id=\"nx-s-15\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>Are climate scenarios forecasts?<\/summary><div class=\"nx-answer\">No. They are internally consistent pathways used to explore how outcomes could differ under different policy and climate assumptions.<\/div><\/details><details><summary>What are the NGFS scenarios?<\/summary><div class=\"nx-answer\">Reference climate scenarios published by the Network for Greening the Financial System, covering orderly, disorderly and hot-house world paths, with long-term and short-term variants.<\/div><\/details><details><summary>Why do climate stress tests show small losses?<\/summary><div class=\"nx-answer\">Often because of static balance sheets, short horizons, damage functions that omit tail effects and limited second-round effects. Exercises state these limits.<\/div><\/details><details><summary>Is a climate scenario a forecast?<\/summary><div class=\"nx-answer\">No. It is a plausible, internally consistent description of one possible future, used to explore vulnerabilities rather than predict outcomes.<\/div><\/details><details><summary>Why might scenarios understate risk?<\/summary><div class=\"nx-answer\">Because many models use damage functions that understate severe impacts, omit tipping points and assume orderly adjustment.<\/div><\/details><details><summary>Does the platform run scenarios for individual firms?<\/summary><div class=\"nx-answer\">No. It publishes method guidance and sector examples. Institutions run their own analyses.<\/div><\/details><details><summary>What is reverse stress testing?<\/summary><div class=\"nx-answer\">Starting from a severe outcome and working backwards to identify which combinations of events could cause it.<\/div><\/details><\/div><\/div><\/div><\/section><section class=\"nx-section\" data-tone=\"alt\" aria-labelledby=\"nx-rel-16\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Related<\/span><h2 id=\"nx-rel-16\" class=\"nx-h3 nx-mt-2\">Around Climate and Nature Financial Risk.<\/h2><nav class=\"nx-related nx-mt-3\" aria-label=\"Related\"><a href=\"https:\/\/globalriskalliance.com\/climate-nature-financial-risk\/topics\/physical-climate-risk\/\">Physical climate risk <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskalliance.com\/climate-nature-financial-risk\/topics\/transition-risk\/\">Transition risk <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskalliance.com\/climate-nature-financial-risk\/topics\/nature-dependencies\/\">Nature dependencies <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskalliance.com\/climate-nature-financial-risk\/topics\/insurance-bank-investment-effects\/\">Insurance bank investment effects <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskalliance.com\/climate-nature-financial-risk\/topics\/disclosure-and-data\/\">Disclosure and data <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskalliance.com\/climate-nature-financial-risk\/topics\/adaptation-and-insurability\/\">Adaptation and insurability <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskalliance.com\/climate-nature-financial-risk\/\">Climate and Nature Financial Risk home <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskalliance.com\/climate-nature-financial-risk\/counterparts\/\">Counterparts across the Consortium <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskalliance.com\/\">The Global Risks Alliance home <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/globalriskalliance.com\/trust\/\">GRA governance and trust <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/nav><\/div><\/section><section class=\"nx-closing\" aria-labelledby=\"nx-close-17\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Climate and Nature Financial Risk<\/span><h2 id=\"nx-close-17\" class=\"nx-section-title\">Bring your expertise to this field.<\/h2><p class=\"nx-lede\">The current service level is R0: information and enquiries. 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=\"mailto:contact@globalriskalliance.com?subject=Climate%20and%20Nature%20Financial%20Risk%3A%20Scenario%20analysis\">Write to the team <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/globalriskalliance.com\/climate-nature-financial-risk\/contact\/\">See all contact routes<\/a><\/div><\/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\/climate-nature-financial-risk\/topics\/scenario-analysis\/#faq\",\"isPartOf\":{\"@id\":\"https:\/\/globalriskalliance.com\/climate-nature-financial-risk\/topics\/scenario-analysis\/#webpage\"},\"inLanguage\":\"en\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"Are climate scenarios forecasts?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"No. They are internally consistent pathways used to explore how outcomes could differ under different policy and climate assumptions.\"}},{\"@type\":\"Question\",\"name\":\"What are the NGFS scenarios?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Reference climate scenarios published by the Network for Greening the Financial System, covering orderly, disorderly and hot-house world paths, with long-term and short-term variants.\"}},{\"@type\":\"Question\",\"name\":\"Why do climate stress tests show small losses?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Often because of static balance sheets, short horizons, damage functions that omit tail effects and limited second-round effects. Exercises state these limits.\"}},{\"@type\":\"Question\",\"name\":\"Is a climate scenario a forecast?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"No. It is a plausible, internally consistent description of one possible future, used to explore vulnerabilities rather than predict outcomes.\"}},{\"@type\":\"Question\",\"name\":\"Why might scenarios understate risk?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Because many models use damage functions that understate severe impacts, omit tipping points and assume orderly adjustment.\"}},{\"@type\":\"Question\",\"name\":\"Does the platform run scenarios for individual firms?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"No. It publishes method guidance and sector examples. 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