{"id":51,"date":"2026-10-17T11:02:30","date_gmt":"2026-10-17T11:02:30","guid":{"rendered":"https:\/\/globalriskalliance.com\/private-credit\/?page_id=51"},"modified":"2026-10-19T00:04:33","modified_gmt":"2026-10-19T00:04:33","slug":"stress-scenario-methods","status":"publish","type":"page","link":"https:\/\/globalriskalliance.com\/private-credit\/topics\/stress-scenario-methods\/","title":{"rendered":"Stress scenario methods"},"content":{"rendered":"\n<!-- Nexus network page \u00b7 https:\/\/globalriskalliance.com\/private-credit\/topics\/stress-scenario-methods\/ \u00b7 source authored \u00b7 generated by integrations\/wordpress\/network\/build.mjs, never edit this file --><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-fig-engine\" data-nx-run=\"fig\">tX1\/d9u2kuhXcXHurokQoiUn9baUYR3bSW6y13ayttOmV9XLoUlIYkWRCgnKUmXtZ39nBiAJSpTs9ryXP2IRAIHBYDC\/AVrDPPZlmMQWXYVD6zGMg+TR+fYtXrwPR3SVCpmn8bpodDC1ZFF4cCfTMB5ZknM+T8LgoP30BL\/jPIp6hLiSOqmYRZ4vrKP\/PBox8p\/edNYlRmn\/dIDlkawVn2HhqF5IsPB7nkBxBc97SzKPruZeehDzm3z6IFJL0m44tH4Is\/dhHEphxbQAmfyeH7c7r8ka2gvulZD3jl2vK9NlMbXYkclV4nuR0JMkIm59uSNsNQ3jcJpP36ceAvA2HIUycwWbeoum8jVd+570x1ZKzb7fhwsRWIKuq5kICagFwDx+7cmx4z1keireGe+In8sO3lvyqCN+Zljcaffabofa5IKsi6YnG01PVNP\/0i2vq5ZvNlq+Zm1qk0nZoN02G7A2LStq5Z2yvFZ8rIo552Vz0iZro8VrYyn\/VEsZDi25nIlkeAAvkqKalD17liz7JWEsSROIUOcn05nnG\/WI4rI6nVU1EpDxuqc6cPWa4yqkSR4HlqT4nglYjMRWH9yj69pQ5dx+hUoWM6FWOOWWaMX0yPJa8umpQ7tQmPNyK0YVsdhW1JL0Vbru5k4Yz5vaSGgT0yNsE\/C+ZN6gmzsp78dMwC\/JSRTGpKvb5xVcUm4ChpOOkpElKcurJ4+yqAA6b6Ul0EEFUGgCXb6IP6bewgpZR7Q6x5S2UvoqWneD+nSqt\/ENsZhZqW2FMGBEoXUxsaCcWIATS0blxIJqYl7zxACQDpNOJOKRHMMMrbjl0aOURVxU3MA5dkXD9KAk4dIJ40AsPg2tkBYje3b+KrHzV9HRMcD68MjzV1anFdFu4GRSzHjeDZyJWGZcNgD7i4JVDSC415LIwCxx1i5ZV18O1moi4siYSvz09GO5ULPk0eq0Gf4eRkmSVsuQUvXW1U2nTWEt06Ncz9CKzviPvU7bjc74ce9H+NPpHbsd+ioHMKLTjvMjXQU8x\/FD3h+wRI3nizCy5FHQ6ojWz\/RV0B0mqQWNJjzpTk65ZwevOqJ10p3YPKCr0Jnl2djcVpOjgL4K7Ha5bcIKKSnyQ8SDNPBw0FkrHvmL1WaSvVFkGHOv7+lVbXUGBY7jU9mLbcvrdwYtr98eUNcQZQ+GKDO3+qtOmx512lXDx\/rykFNiy3Kq6UEYHyi29enhD+FLZ5YmMgFO4Yy97NNj\/DlNZiKVS8f3osjyWEpVTzn3+ukAUJz\/UFAe9gOPIETLh6EXZYKuhM3JAbFT+5CTQ3tq5dQ+JIdr+FfMtyJhYZOjM+IKm5wRO7bJ6e9HxJbwVE3sH5t7ZEX8yMsy4pJ40RpOWtl8RNg8FI8XycIl7YP2AfZxQGyPPYaBHLuSjUU4GkvXY2kSCZeE0xFhw8TPM+8BnhF2wmapyEQ6F+fZTPjy1pNh4pLFdRj8dh0GB1MhJFmXOM0Bp+LpabV+OV4Fy4FG+vmAi34+KFHyaBGcRcpigx\/\/01QbCClHFrzdFacFf+gK26ar2OaW6JEr4pJrQu0HS\/bFAIjJJowUj51BScNeL7bJv4lJarkh243RYt7uxtVoMYwGBB\/TlWdzcq16j+uDxWowEWUCW101t2p1sJ29q171UsJcwfqvgihYynIFdMQJYQELEfCAt7vBaVwAHSDQ\/MHyrLgfDCgqLKAGkgdCV5HNHy0QPoKwFQk86bWmxCWjNAwIW3TckC2O3ZAtO27qSLY8dlPnYU276jUpFrL2mgz9CWELeAEa2p03DBu1vNgfJylxyTQMgkiQNZtafyI8TFCqkfUcLKkTATSpkwI8IUATPg8LTjUivdSJWifwsn3Clm5ov3Z+3ACuaElEHBCXZNJL5Rak6xdgz1uEWQPEqfNQYhC6yZUuVe9sax6R9yAimAj2gmh93d5EK0AMkOZ1XO7uzMBK2bFsddq7UKKQUR\/I2MGjjfmLjKxZZOznQBrMXDoS6Vw6Qb89KH92BgX1O6m5F5wUt0LZ17+rvVpYOE9PhFAnm0WhtAgjSinXO+D0x0rvyaNIQ22BuMHZJSPSk9L9lVraPAFpRFn5cGw+vDYf3gyoAda5wUOk8\/j09ONJm8VcOuOnp+OTNhNcOtOnp37nJ9Y5Ya\/fsDdvBl3N1iNX9F8PWOp6LdHvDJh0Rb89YA9u3BL948Fa65+WdBaO3IAaygCPTP3oDBiQXeqkSvJG8Nay4a1l8dayeOuBpY4s1EZCWMiSrtIWcNzQn2RPT780DHhCWcZxlKrNZvdaERhy6Tx4cZA9PfUHyK9C3u6Gp8OCX4XAr6Clz4f9cMDmPKp01LJb31mCmrQsK8PYKofynWWHquEW3HcW7UrqAr3nFpRRdg11HbMuVXUdpJ\/52ZKuAtxHqfDr+whmQJh6nujnFrF9Z6ILfeL6jq8fhpPWRCyhZCKWbOE+WAvKlu6DtaRaSj9UU2yz69aC0kJsP1jz1pIqhuE7uH+Rbcxby7PO6wLArY0OAOnNbkAZaRgRBPsnDYTdeU1hTxfd0\/UaVbhPXDrzprX6tLVWVzy3PvXDAeL1c\/nQod0dCJxvYnD+0CI2vmWgEJ99BPeKKh7VhLDPrSsTYanz0AJCXuMyYh8ab88jC4eyT\/RgducYEGN0QdfrwOb\/ssgDYTmb4BYYshT\/qhb2vywSERaxDGlfVS51JdLkjEsnE2koEK9szGvInW0hd8RnsBHuinYJb3eT05Ezk1nRNinaXnIs7yegTbCL6qmDiuzlGS92L1LR5SkvNjFd3Sn1v59bl5Q1bbrtnXZBKQUtBajzruC3x3TlJ7EM41xA+cjxUqF1ue\/8zsmi0BcW7X7Xw9317yrDAIZJnYeBWd02StUKzjw5rkucVHgmNXktYo9MSho5Pgvcf1rfmUxzAftpR09KmFc9RU09qYfAy8bwDH97BPolLkgYXf0IdY9PT0ZRwQhGyAgCd4S2Zy+X1h11\/2ndAckCmm6eW+obhRxjrW3iAqDlatP1WLWZWiNFfE9PI2dCbfJEbGvk+E9PJIwnpCxASAiYFlFVOKy4IwGwh6rmxvkjCWOLdAmlyCrOQbZ56USkm7zifIucb\/mDlVvnyCBosaJ1BUJ1ZS7DtEXs8w3ugM8wD8\/3CZOpF2fDJJ26BH9GnhQWsW9twtqUrFmlqC06bhvUsrZWa1tvSrXMVnAhvnpNrGJa8onbs9RJW\/\/V7rVO3BPNLo431KeyzZZKeW6wFJcUaPwG2sIsCWO5icZvW2j8iGj8ptHI7vmDFanHZYlVP0z9qK6bBok08TprEfvbBl6\/1fBap1zVViyZv3A\/Mn\/p3rNUFaZPT28Ux\/1mcFyA9C3\/iHjodNrdHRwYLMQkr0MWVaAt3Le9j62f3I\/2T2zp3p8iaz7p3dudn9z71k8bWH+7je5vNQ4OWrfjp0mWVbZ7ExliE8LGYRCI2CXq715SKglpp+Abh1Ip89GGPAMMpU7UKMc2beWXuAE8dAPEun+v6DY23QDES0OvpUjalY4MZSQ0w9r2EEjvAf1qrsYd17jrQXuXtF\/kQ6jIyR+jRSGd2JuKp6ca4x1OWouMuIG0cloVLVVRZBQthsTVPl+UxKDkZmgTkB4WbNVqr3CvsBygnLp1Hq2EM3HHms39L6FrFhiq\/nVN1U\/SUMTyB87JnKDCnyaPSrQLZQi8OW5rRR\/rPjw9HR+znEtn5M0qBvuTiwVaaUezwfJ6lnSmPelMgcXDn+OBe\/wTtQvz\/pWV2jl1j4\/bhd6ORobl9fon7McTdnzMOsftgdvvnLBOm71uszftgWoagtkRKLNDtAJldgTK7IhaQWl2JJWL9QsqDV+cTIwyNf8\/eLv0lvzG293fTlVtwa5+A3b1h81Vaf+3gTMviPmP4scXZ74u7YxpaPjI2i4WoHEx9RZsyHxgMBmv3HGZBmAIfyuvxxDGzSqfcsYSK+4PwWDLeCqtTDHcOXh7wFZUs1nyX60Jy1joRCwEAwo5BZjzFaOYF+rfksnK3oG33lAmnSELmXrlCtnNehdwyjoBmNg1Dx1pD9Vask98WeleEwZmzhWAedXMOtNSIoVO1PoJVfprOz06tt\/QXW6CQlfFCS6M5fyssenzdtc\/XdSW0i+gnnFV0fdBeV1anykbwR975sypBrPBYqrJc9D2F87EJi1iz0zhM9uymmal1TRWBst1o9U0ao1b1gbMrU6v47ZpZRyka9r9bPOZM18rPwnM565EeBhbC2fO2vS03Vs4c3djGS6ruN8SGtLWp78432qeC5Sw2RtlcpTD37FPdN8sL2tzUZJs7kW5QGozyHQHtcy3jMK5hgzAWFqJtaBU2T8VGSmSmd+LRRVK7v2JbYHiqasrKV1f7ZV6bdVtKz86LmYnyunYOWi\/DWI4TR431ZAF0kRZJsMZlMlwVlO3YXqpmt6aXVFjyS8KBbtpZ14oxRm2pjNRfOI796R1UfAFJp2ZF5jRKODdMy+g7KbkIA8sdOQeDhIRdvMyDjJ\/xssYKi9jqLyMD9aNha6R4+Lnmnb3MaFzxYRu+Xfr3JlQ9k3zxHODL3ys8YXzZr5wz89LvvCW31gf7XtnTtkH+Em73168T841X7g398v9Fl+4L\/nCrSbXYhO9ZR9otXu+Ow+PhlZlOlqK3fyh9ZYC8zhvZB5r2v1o8\/saz3jHb6qezpFnUPa1LAzjovCvzdswbmr8Qc\/w3Utm9bX1DmBef9vvF3+wbm3oBLbi0g2f89afmyKjxnPo6ttf4TXnmteYowOhGjNIrHNKaetHuheeBn50rvnRecmPvu3lRw\/Wbcv6jqZvCxFaIEMaeIZaA9Oh89AKlXepiVn5SbTJrM4NZgVY8BUW1uxb5UP\/hyVYxOZstUcl36k6P3hpRtaGfnpX009BHUW91E+iDHXS6PHpqdNpM1BIZTID\/zTqo\/7j09PJGwbapz9+enrdZgE\/1soiarLCUDxzO6As4antlUWRHVDbwoHuAfDeG1frpRPwJ2dsuJMTTZ6jVgEKEoxp52qV0tbPe+gDuXdh8cGgoChmpwWs3axyM6d2pkDvTp5TsYRWsHw72qtgef2sHH0v850DqkUUWRkbUgiosiUvZ8oWfA60o9ZfQ1cntzG8vCUdNyTjvFEyjlvERjgVt1XirmBAOQR\/nExEnPOikVs0Mp1daA1v7S8TKh8AQGbWUSu5VFveL5hZXmyuiKUL9xi8MHNH1jY3IW4jh\/HKUcCX5c6dMJ7oieJIBa3sXjGDZNSgtIzywcZBMt5JnSVdgGKjfMXGW7Ta3CFL2OTvbe6x8GRtc9\/UNjdwJ7W7IeJ0rMJMEHF6o7Y3RJzACATDr4w45WD6pcr0i1upMv1SZfqJVlqafhEHDtCGQFDdSe1tuaMm3OuH6GOeOJMwDjCq6WUCApt84sy7ifbntlmko+MHtcYykV5E6Gq7Hfaf8cg2WgfJY0x6rVKCT5w5dWtPtByxFMkRyygr5Qw8DWg34tk6qAzFgCX9UDlQAzAUg1cdp\/1TEbvag4ShGs1Dj5XSGn3QGocsdyKWOylzXp9QNue\/Wm0WsNx5YLkjIYSllME5+wUrtA6Y13TAvahfcL8Yll3zuVVMgH0qHgqT\/woXCTajfkFjM5+RHonFiLi1YoVkMkvA0xTGk2NCu8sXqTOPyFvqbsUrM\/JlWDf+Dk2mwz61rqmO4lTzbnUKU7UB1k\/uNZrzZo2mws\/8er1ZVdAc1C2btWw\/iePazPxqaosOxtHUBBbH+kHpC6iJf9Zq+GfQx5TpvI13uxnrv+fHx51j4hKicf4C\/epxbgBXwlawwOvWyT72N7P\/tMod1ICmXqTgnCslixa0MExSEY5ilQQEPlEYuGUpRLT8Sq3KnQf7xFj2mmL1+s2aHZ4G4fxgMY3ijJOxlDP36Ojx8dF5fO0k6eio8\/PPPx8txnIakQP0f3Lt\/nxUiDiDnCuv8vRiTlUQzs+IwYkhb2b59zjxoydFOvSiqMaOv2+G\/d8cl2H\/120j7H+CYf+TvxH2\/3VPjJ9FWL0rmM9UIL9bZEZ+z72tcG7SwMxzZBwYzs3Khw5lQx6ph2WHMr98aO\/0d8OAhiaQVBHdiaLKYcUJstbEYAR+a6g3f\/KXQ7j4hrfALGLSy1on7qRwaqiqpcq66fmt\/3KHEADf2Bj1DrbiCcmuiPAziRI\/0n0R42czKJoiyqipBKE3KnCzxcKgkihmlZcwUc2ionIgqnlYbmZUaLgLGGjhWIj2N1ornVvRlzTDl6Gp+UK0MhzsDlbNahGhrEXsuSlR5qWNXNd\/54bBlcTwnMS1AK2\/wHnOMXLmL3E+c4ibsdSd60hWxTIg2S74eywj8z0pRVpjGN+kmdtoeZhGCYzj5xMmymdMGmIp\/xgP4ZDEkuW8Vf6OcPdGvN2NquzECDBbpFGHsZUy2Y8GtJtXyk2uijD5jHOe0lXOU1sl7AaomDQkYbc6lB2zuPWGspD\/aqUsZ6L1mr2mlVLYBEmhfQUQsAktHHigpOCknKWfp5WSXw3oelDTVXpfUmYMZGWXJmxiYNa0VcFzAbOZl062QmYxhsyEDovpcJ+rCOelKbNxEgsVItxKLcg2sxQyj2BSQlYkJdiNr22mJGSRei3RbzRsnGwjzJsFRBF9YE0Kkoc12XSGqf1c4JZNILsDNsWx82Zt5rplsp5ybcUlFXfaYHg0ddxhkj67MiFqkhsLI2xycEL+H63LloiSqaecDGDFtTf90idglHYUpp9Te8MHQ9R5pf\/O7PfBEq9Sutm5gdqrmj4RiEh6GmeHp9nMi+uqz2QWtubkQEHAyaT4LWOu8INKkfbXKY0IOjkj4KbJ41D2dvWaF69CK\/NNSFewLW\/ni4EGIQhTlQbvOUGYPj2RYeRJAinxqn6UJAE0sDwHfxbhZL2MblkM8yjYN4k97ELpespg34INrGJPikYIZ2EUaQCwkQJRv4E9n4YHBp0VaDz9\/Sg8M5qCfxGzTjdGrxbysraQfhLl01hZ6lmSSi054LSCHAsvODuV6RlkwefIUVPe7qaVrZcWUjPCMwks4BH2UiGNuIcKbCwGtMa9WKW4RiAOe3G\/Mzhr94iX+SIOIELukkAYD7hD9B88uKAdf5FOh5la+hd1mxCbpWpRIieDxb4VkSfDuTjIwj9FDUtdYfPDUzk+yPxkJjh6TNWC+EmklgMhRhhsK3LifNo7VC3ifKoX5BCXOsDTE9YGMkL38PQhlxLOTy1hCPWgRwFYNY6Mkc4O7RCBVG3PNMhyfEbWcK4DfqdnWKJW6yEJlmfEWCzlaN1asUR7YOEoCXYkU2JbCa7J4YGhtyiAkgKggyLfgpM2OYCkDY6RML3KIhK+FAHXu+UQukziniYCP09TEUsTV2prJM6wHLUYcIiYLuqxk8IJWEM2wFbUTUpoq5eJRkfO2928ot3cdBHlAwYSHfyDWX8Ccx2wIc\/0gZqeztaAAD9JlEHZy9yVdLM1\/E+IMol8bg2d7LF3eBpuEOFjQUoKPmiFyNy5o9XMhk7qxZPylE8j54AWisRV622+M3EevLSXSWsIP8w0BixgQ8en7tABFvQXeJN64SWsaejUmSGW1Jyo0AKnm009OAR8in\/PiEIV\/NYdqGKYlibagMD89mxFPXtdC\/Ov1Q6dbG7gV89yXi7T3CDCoeM3NPar1r7ZHDiArzZrUNus1W+9VwsxKkFdqKMeiyoGgY+FaABdXjMjqXmh3mb4UDTTxpwJllBgQWfmsa5bQzIcngZRHZQAPBl7jyApnQvOCHXhgBF4Tc5OA4nLKNTJCfB8yLPTAJYNXAkGq0lyzfug3MA6uCLKhanID4rrs4KyTjFIcFY4WcqjSqoiMmf8Sds8uxWZHXL5JWTvmURfjXlRx3I4rw+Ih49TUbBWTQDby+qphbXJgTfywjiTcMTOeaiW+wz7rhj0mZodTmWsgdXVSgkAASLSQr2CJ6VIHBaTaOqgEpAe2dyAjb2fhjVOCBPx97NCc7ovhubhb0Lz8CJoHl4OzTMAqP6CcDi8UsnQ5G04HIpUxH5NPSmoeWsDmsLd3IVKuKuteNhMCmWBCYzaqE3z2p6JKPfGhBPfO7TjUouuK\/pqY\/6dTh\/2dXr8lzo9BF7ypuQlQcFH3jTwkdeDBtxvcBIsKrf1u0b3CXpjDPeJTEajSLCUH57mG\/w1EiNw552hinx4GoVN1S2p5h4r8KJQC8PyBCzqOHJLx4m4BB0n4IfPMK1Clwbl1U9yzB8t5V0Df8Q2pM7EsczdVGOnRY+bCorW5w9rOzFS+xAV7WzszURP\/4V81uw7KSUClBWv4EOxmNh1CnIIsGRbYHc1at91S1EsCajclVxSS6aJpTIT5xuKusIq2PiZUPZj5CTxlvWo8K1REtQ0+0bzpYDHipzh5F\/NurmuqlNxYGC5IpaChFMsyUEYYoqU5CuUNO6lZEHk3koGgs\/9JJmWR+6FZIoE3XeSicx3p2wIl5G475m+L8MVkg2n0v2TRWHs\/sqiZJS5UjLwgbueZOhCdn9hceiLa2\/hppKJyH1k2Xzk\/oOBf8n9J4Pgy2f4mUsGcUb3X9CbcM+hnzRzr+HguCfdO8nKuId7I5n2aLrfJUMnmvtNMvDZuJlkk1l4kQRL9wqbReJ9mkzdfyuV\/b95nywII0vCCHpCCCPKCUIY8aHGhypwpyw68N8xNIZfS\/gFMYTyhAdRAZSh5Eet3u\/Bq9+d3u+BbfVc0W\/ZA\/hNe0ejsFvyDF9uHxmlzhTvfRnK6pKInudMvZk+B0rd\/qBiO5\/NA6ydVnWdQ6t+ScrHGntqdzeu4qkuzBlKVuZVl+f7vX5s20WM3hLFiVaH0H5noA65lhfuCOfVUcigqDA5a0MZNyakr7ZunwB\/XM5eU6qvnWiuM93Wb186MVyT\/u8BG6iFeXU02jlTtmuWekqKpb4Hp3O5SqK83gNO+p62e1E1NINLiAh1IxPyZM\/qNwC7RQ4l8HFJAPoIcLw1Ml3XyWZcOkrh3oCSgvT9Rug1ZSlfrVkO\/0UsKLOtRkLeJom8SQLRqz1Z+rhCwsNe6MBtRnPxLhJTEUtVMUFbGgNn6oS5A8fxQHe1EkpXE55Ad+dSpuFDDoektP+SPj011mjuSNWp0AyjiCJd3qELIknPo8gifdXHQItIFRDIagEBlUGR9aPBjuGZz1dr4wqD\/65dYaBiRtuv\/zdcaoDndctbOfw+FA74fL1O+8MBV4cG4M2xl20OLGNC6SqHdtgEXIqXSSxFLNdruEomFumH++sr7mFyS3FQYAMJ1mG\/8otM7EMyOKRPTzsaVTJFt4Sel7hWSwf92XQFd13pB2s1S8VcxPLOT5MockGylddWfaSrtTp\/KZxUBLkvajS24MIJzCDLm+O2i0V4g82i1vgaro759PL1\/bS1vlf8Uz8asM\/8atcaz3ja\/4x5QjO62rfWYw6LyEabXY0pu+Oz\/hj7GJk3sdzVb2mBx1FxKtaHI5bsAv6OEN2XekDO+UVx29DKKKeraxVTWonIvWKedMfs3L1kF0zOIne0pt0rJ6vBxe4oXvWC0bX+54EBjUohvzJpi93wRGI7ys7h53cE66YC69wE68Z80L1\/34ARekfiYOfuDbtwzxHU7wiqMTKH1xHQIglLOCKWIjUOD9SnplYP26AYBsUKp\/nDdQmWQUa3kOtYRjuBQqHpLV3d8o9KC+JGTMj62LqlRwvK3vLP0rqvVOwPvN39cFqM0P1QEMY7ft3\/MGBfi+AjlH3h7e6X03dOedr0C7T+qrDzzjnvfxnY1jvnov9l0FKP9NVbjIO+UzGE1TtHRDUs3cMtS+8cQOFbaeEP9lUnpGHjGoreOZ5kxisfq1cUqu5P8eq177nI5HkcTiEqFb9PvamwVBrwjpoSkR82Qm6w5pKJ6YMI4G4f3PpuzNB54q7WLBOREgfjRMsFPLUHVX42VyWzeKR+ZPPRp1w3G0MqhUih5bo8tlbnY8TRXrNwBg5C0L9LIQmJrCsL7gBS3fSzAa89QfYJVSszpOuucMQ0lBvvKyfv1mvles95uzs\/9Us1AVYbOKbfnw+gV8Ubl8AboRgM\/2wGZe+Aj1qxeDy4zDOZTNUziRfucNIidsZWgZBeGLlD9pA\/PEQiUzsKVO8kE4FmvrURusL5bsBvXHNSx1qGs\/3uvaAt8FzVPBN13DCfroQKQQFmh90il2Lr\/UrYQB\/k0M60sCmQuOTt7vJ0XiBxiRusvxxsbH7T3iJMK1DYroHFzwmlnBdq1pCWcTtlllEtlPaDG4WBSJsgvubt7vXpooD4GiGW1qJ\/PWBDWl5asafvx7GI\/4\/u2q31fcXb3atKpF1B35\/6VwNHG\/D4u1k7gk4J\/YHzDJOkh8gacZ2AtC3ij714BAF68CS7GcNgrDtcU6Sdkdik\/lLRLZe5FN9DtyqFl8EPsEkeL6AI7QN+MUWYjHEIcspvJJXKfUuYr\/XFly+2YUHAeP84YugVLRSkotSRIoMDnEp92EUWQBNNhIy4V+ljQ5DXXVCbYgBhBxqNiFR1sniXWgd5CwZi3Qy1rHkpHsfSmrMhW5XsOshT1\/KVzyrIU4ZCtizBpzXtTizaHUlrTouMQLAVitxs\/oO+E\/YjtM4ETuLTA6ZApCxRxoBwELQ6neXIQdbqMla6Aq7Y1IdVfwt0aSdLpqIqLyd4MHfCrOojHq0pXD4GPKA7BCYM6bTClxbV5oli9Em3BDMVw1RkY8vHW37UHWhrtkqTRF576SiMXfK63Z4tDtqzBVlTJ1FAwmWe5ct8C2CYXsL7SS\/ptwe9rNcfgE3ke9KCApYpk0r9l7FhcT+hzuLOek1U0M8Gbubqu+\/g6kgrp3sFlNpheR+E1IAt+PNkBC2rDfDDsn6xCmjv5bPaB4bRv3D8CM6l\/wrOFvX+tdG+IHtrwZbWNVtQ3A7d6obhWwGR+4IGFHXUyyzjZuLCMjTGhL7KfOKsFVG4GEbjNeK4MwK68r3YF9GG3hNg8n2jSmSMCZZDRTCou6xgP7X1LkKRswYnRo1MSo1qYsC9y+JRptqA0NrRpWzrHI\/PMzgas8d6ZnPuF54Ol9B+W7l5lhxkfNTzOVe\/nCCcohhRT2Gg5tEtrLlxInXjcSKNxvBUa3yttPkuKvhZcW2UOYzaGku6usYdqkyXJV3hVBo4exJX6j\/qwdgwFdNkLhraon692N3dGHPUXtgfNMYOr3d3GITTl3cIjbHDhoWDYAahmPybPJLGAWtZGIQttxSddYV32QQs6mURYc2LruGXO4DXL8ORZsebzaLltZdOMj5BhRFg2iHNFK2VQ3LOs+ImjHJkU31T5KSJClvwYXGDODLLufqzCsKpm7EwcMtX1yi1ChVIQUVY1dAEJQy0GZLkqS9cyOrNQ0ia7QJdz3cK5zosjUCoPWapfbNjzxBca2vem5d1c12uPTOabeEbfF6bGcJnTgy62TchGc62pgP7sLyAvFAf00L1RPFpSKTi1gpfhb3wRDk5zWSaxCOMqxUVKjShy9UNchCt1C9AiH5D9fNrYc6lccJIhTmXg+5cZxwQ21oYiQU6nLSo5RQQnZagW+4LiWF7eL+evoDTWTSmG8xVcgcmGuDU4kQWuJhpNGARvjmDmIzhzZt3S\/SaLLMmwdgnnjrJcJgJ\/XxVPn\/A0EVXHUTK7M4b+9PZdeukl7U+tTpvXChhMz60O2\/Q1WVfnRU9qzdbJ3Q148PWVatzvE6dTC4j4ZQBDl67wsoQ6mVa7Qn7TKlNZgu2q36m6inRNHfebGOja\/kCXg7j0SVCeKsUNHzLyjTYX1ugzAwlKwp+a\/lwdpgNC6J+n6R\/bQQ259kzo89xTD20PXcwcnR0zOYwtALAnjsqjnR0rGEZh4G4NzcZ7q90Y0Oh6l\/xTquKL1Qawlw2fb1gQ1hUZsU0BF8yEy9o6S2IvqEy5eIs7jXnS5c3klK81x1ud6fUbUPUJH0Fd\/+XXyo4pjb5D9KVO02eGC7R0HzRo7S8ZWiP4iPH+fQBVJ9gf7thGEUDIzauTn1EtRMfERyYqcGGJdIb3XhTgR9zeBTppZcJC+WuzmnvQWjQhcBhrk6UqIxKuBQvqF2IF\/STTQkNEcRcG6G\/yMKQ+1V4k2u8dqn6ckEPdFtdgXy7cl+Oakm820jAYG6\/ljZmokIlj3gNeSNePx6wlAvHj5IMDFrtUyNwWbzYoUiqJKVi8dJe6nz7NpzcJaly3eFt8EjsUT8f0FUs4VaBfo73J+JfNKfUaY\/ibf1HexXIMIxAdyZ2PqhsItTV6971oPK8wygB+r5LtMUbzkrpyIskCEUGai+It3qUIuXnaeotjRvE8ciHvjhcySy8oKBhAcb9IhkJSDXirQ4LjCBSXr8HG5znQaOeDmnIQHoeHFjGRpDM8hFCjV18bNL\/klQSFu9Jq9Z63P4OdM41qozRafkpDpALSSorkydkSZFJG+oU2sjMp410XJxPepOmKWZzTANmYNFmexpon6JmPkM4o6x\/+8WtumF2491Yc9orVS0nws+xXKo0BkuX+5S6qu2S9lodd95aFnx28SrWN9OolUprK4W8WcTB5TiMAiuFIJ9BX2GNMZvU1TMfkHJcvIituqZMZWvHW4naOV7eb8X9tNmOg\/goKjUHRG9A\/MwInAftgUBx8yowXdy\/R8+AAUCPWvL8UGxSYfNOsRVlAxPQIeA9TEDZz4ohBs86+xATmHBT8\/hNeLs7qU6ATvDkVn9S9\/gVFgI1t\/hDjTOOdhg4eJEeIo7FELCBve9V93EX3\/kpDOP\/NXinWifRsE4CEKrfeMJN3x8U38rI+28GtdvAu1uSKdg6i5jwAOVTaZ2jd6oKxR3TVaRPmOmNAG6j8ibwBPgq0Gesw3GY2uXm6MJyczgbCek2bt4\/xivHM8KGbt5\/jQ+kp7iq3ia6S6iltAd\/XLOIzWSG2Q0lBssF+bKxJ2ZSeR\/jjRjdwY13gyfhT3ms7tat1gOeO4N19bWFTldUW0VoFopvqk8sqPwCPMldfv7nVFf24r5QXzlwY\/UJBs3sLa+lq9oDemTp5lUZfrymBEn3YVu6k1ZZBF\/dKRHRj41bhDtGCsZs60sz\/4YjR40Eu8hAgcv3tFhCi27dXtPcoNmdN+X6HlHtxYuAlrasen2ojXY34opG0hOrGQUPVgrfzVK321LNSHYBrY6lKqaCwPSDgT4S\/iDh00ETiPxnO99fDElxA0bUixqksFbXIPel3GzqrrBh7ZqwYd8fOCAfYkxl0XhQPB7qKiVPOVCTBgfqF3Dazgcs3viK2JIa7s2J3q7QUmVasj+tJcPHIVV\/\/QGtNKa8sHSDxM8hl8bxU+HJIrPm5s5quJHguN1uH+ExxhID3cXGAmJuW7upYlkq5NWhaziku3HZdq5OVy8p\/tvqBkLyr53jhgH0QUQ9WSAtU6QuimveryGPyIrZhLordBu4f1oxy3o1fpRR2svc8sHVmiBDsTJBv7EARxcYbXiHAd5ncE3XsoiBqbt0V0iKbsAWbmzmaL2vMa8XbqWYruKNOet9xMoNtZaFPWjRbjMwz+2ahbroyID2fwrtFoLLOpXrAM4GgDM7GR5cRMlDL3bBrICfFuj6K9BrXW9dWH3NdGYRDy2AL7dXukIFGL7cXlmCgs8iFUOed1MHrgmJEi+AD1Y5KZxXiJNkJmKRkm7hUICod+QtuVIwu+WQcB6mrl9B134U+uDZyoS8D6ciyaXpbQeIUjFPJgZEOS5DauxoMLJ37O+UrtfsTbtdsna0wlUcvfpWmnLaG98zrH84pJaPVykS24l6alX0\/oqNLyDGxhcQ4wKWoz5hv8cDHVsUtAcZ0aL+ccNDQg6Va0usqb4ZmBFa\/v49BuXw99jIVZ8YOlJ\/oL7ZAz\/AlJEfhBf09F\/lXWsrmyMruKiyHvOa9Zgqxpb345qO5sg0nFqUrj1Vn1YW\/jO6sTFStGWnBkWSjfruUgSjIog1lUCfEy0r+\/jtN4QjbDS1wM54egr3TSCgDZ8+iupHaqMkFpgRicfn8Wjttmh6RcAj4zXX6L2IZi\/cpAO+0okof7SKTGX9CDf9e2CpEkaSmeeHEn7Bu63qUbc16pNYtobeNIzKJzwUq38\/FlnQkYDMaribwAfTkZGZF8aylaRwZmSwcfQgbjh6MBISzK9ciuAO9r8VgxsAr4DZUIHTmgoc2Dzth+oTAhEsWPHlrl\/Ac2RBHbVJF92sUclUuGYr+D7RpS4UdckaPvG1wZqRJRHwFBTHYvUpfwduaPrFg8TVrRk0mEZPT5JuA0laeIrMm8EnH8EA6Hqb\/iC4Vwgkw24xTrde0gSg+UiiHJCvjul2yyKZvWyqCrCtijL+Tc0CLx2AKy4aISOddvs\/GqrL3Pod9Xo1kHhdPNupNiDcczQOpSA4xTDORCovBNzxZGXMc4Zhmknk55WGLh4Pvl5f3Yk09KLwT5FaFD9vgg\/3SelzrLbxYksjx9SDqTcS3dRJlFjbCC7nOwWm78VzLyO0m6vV4V4318jncTd3kKZiYDUWOQ4IdYLUe8TBrJS1WRslOXyEM0FZbX6\/U1gRhI8RKJGmpoMbKtH\/BbVZ6nNkbW4I\/cLC2Ytp1AUNApKvcjmErxTYIvaTQHy5\/QhEnsQAfu0jpPWjTRKyDBtVE6TwYTjKU1H7XO\/\/8Vp\/tls\/twZHo5CRlv4OFvpTgeWWzjg\/m\/fwf51LXrjkimw\/EW0m\/O3wcwqe9ibSSlU3a6UF\/o8V2wR6J+pSpSP8OQW5WjD18huvM\/CRKSNyFo9Ag5yBN8n4pidc\/lb0OUO2qHCMv0O6XlMzNJY3Qq\/TFVGhO1AbvVL5I55vcqLuQloRfnwgKnY8i8oNzf4aeJtTxvFXhefnpcAGxSCKKdTojLBIWoFONFVjjOFoK119RQKrKOxr8c1O4zPSn+K3YurFAV01FFrUkWMRm4qg0eoOhnEUIcJA1FHqnNF6bQ6\/NE9DSPQ7G7odPGqHUJns2lXFXOgf4OuGUwK7Quqp8IJlmQTQnL66lRw56NfPlOHLppdMidy0QeTC9yx35EF2i0y9XW3U4IQOeM3UiijtRW75UPoI90RgVBLd4BlPVwEP+rp2wIMdAUh6\/Ia29ZgSrcT5vlASnu0zAWxyPOr7nsD9uMP1id0YqMXc4uIn5MwZNf1dHc1hfg2VtURXjEIhIayV46MeF\/JVUHFIV34kvBRT3uZeZA1pVzVdF1\/62kN6ni85Aa2pRmxj3u6Oq8+AjQEzcN5hb1pukXbS3dWyuCvyMwwHuXLKEsbR2SqJy2ypKvgJJzQUQLMd6zFMUgIff9idyVald46NRLaRmeoAOLRqTPyuoL7Rc6HWyxe0xFAru9jVUuesihkIVfXlP90So3B4roOe8UvcP\/p5Pdu\/GJr7zPYuhJdnipQ3VwITzjFVeLwu\/BzF2Je0ayBryDMhK9qra0zf+fY87Avo7\/vZZQ3nRefqCMp3nKxvgbmue2hc\/yk69k\/a8IUB2HXJDGiL+13peEGAifVXYSbBI2ER9C2QSnIapCW9dCQkGyFljAt9v6SQER9XNkCNayvBOFJTUXQz2sWLi2\/j7WHDKtneumQ1bnxHae\/OrR7U2aEy0FOES4Fd6IM+F9vboUF7gi1xqW+2+y8jy\/kCA6oXeJhoLwYqlqqQoJZ8tJen\/VDwNHazExcljx3tpfHvmwlvJee9qXjyTZ0n3wz6o50M+Xu3OV3+RqfLV50wBSJ8Pq+5s0ol3EE8SSrriDvno6qdHBPKbmslKuTGvvHznaFj9pHfviBsf88rRab\/ET6Ucd+7V\/d0feu17iFY0jhGnE8NmQSh1M6LG3ZrQ\/L+N\/Z20I2ldcu+sbfP4MrzN1D1YSfleGinhkPrA2r2KGhWc6s8ULsuqqYizklxmGvrbFE5NDTTY79Trb\/ydzqQ2n1XRlS\/NlOqWMy8OABS\/bpFquHQ+qp6\/MLfbY6vryvAVl\/o6os+hEnLr7jjPCoWIBazJJUtkwX88bJZ\/UFXf9RSkn6FVIoPJVfYQhzqGkRJA+hYJT2jGVrxcrWJPMy2hNsCPsDp\/9Fze0JlORvr\/NvOdVbpzI+S\/1YhwdX8E6H6Tc+gzR4lZcXTo7Q7lGlJgHZbo6DQm3+3pCiA720WFFmmhpCAxwGpjNxxKUl3SgLMU6V1ITDW9yfSnv7lblbsmg5+zFGkKkf0b81pY4Uqe71+6BJWdd9ygWzcWC3MXIUvf+rFuqOseLjDpdLAl+Jz1wjqGCAIxkICXhrh+a6STEZk8IZ3ujd257Q4eNu9sSHEXnzx9QJ4\/EX\/xu4M4AsAOrfQGjMdnrrAz8GC9\/r7+lnEw0cl\/\/\/ifQbRF0+K4F4pMnd81CtlR2+0s0fO+biWXw2d3wGBqoUp97a5EEDD+1YBXy\/iXetdyEGOFsZ7MWMO0mss3SAxc5MVFNlIceOS4kaUFQ8jpDgEbDdzmIgl3o6\/B25Mt4XjOMAv32W+NxOkgOdFTHmksrFHmjHT1aiWhq30zN0GD9p0KOC0QncHH1beK59KsXRXihpNYMYZggaWb4ijOk3gDPayA2xRoQmJ6+mpLDggdDVz9K0Db8XQyyPIyR2XIcICvv18ofAm1FhDyTmfMe2+v6ClMu1udrXcMO3Yed0iuoTPV7Nbfl6jmfM0TR5v0XluYARLv8wIHGI\/t2\/Ko\/P1BldiuP3WW6BYfK\/V8N6HZCqw9mK77l0cYNX37arP3khU4Lz6sbmFObRuU\/CuhuX1rcoGKrMRLqpEhO\/sltZ0kvH+wHmdyHYjSCG7keLUR5H\/vXMkla\/zEbJY9Bm3b7VTFB+b7ie45x8h\/gmX0teixl9KX+SXfnuwhhsJxqg4f63O37Y6ri7rvm285Pq+uj37rd1IVb2O2+oAIovO33aVXr07Uf6d2mKNdV\/5eMt9PQM9cszu+28HrP9O5dB\/UDn03ywopUdftWP7nfrL3mFG\/QfMqH9XuLqd13j8cp8U2RKwuOYN0mJ3TQPhvIcJFI3BkaJfUwhTa7F+RvRD5sHfk\/1Vugl8Jw7O8e5RupLHWKR3v\/xTx6O2\/Vs\/jPYR76rm9\/q3tbcx0y6MRkK44KMtQlCqlzUrD3FcIhXQo0u9\/Bd6+W\/4nRPGc7iFpPie+66TGUhcI3bD+lW35+psyKw8G3IOhDSg+1coEl5tiYrPyza5krP5qF\/hwvQkN\/lLtWYGvtAXZRKNQMw\/l0m0NlSr7j4tbf+sn9NgXqKTlg7\/v24OFEKZ3b1YFF++WBRfvFAUa8IskXCrkPBtN5\/rqs+Q7jgnc9v6pgnb+IDFN0Xblcw6ME5KWXf2x1fWZeuO0qML+upijeIP8rnGQAif1VpdejMJsa2ZoxfvY1Bc\/XFLV9pxOmLfqx2mo\/03DXP7bt2WrWDJvv3A1UkPa0QLu3SEH4XUe9DYGGOdSrWP1d2ASNnXLJ8Rdv5cI3UgGxquu+PnuCsOubNNOd7OFsZgtEpP+wvu4xep9MbeQK2l0Ow3zLjijhe4FrFXf7QwsxUYRWnSSAonNcb1I2WbV2kE9aOU0gr6ywGrAnHLZwNxO25M2WdxLOhq0Xy28QW4uu41RIHd4svFeMHKrkSMKCS0+8k4Y\/nMLfwIuPaeqYD1GQaU2YEfSnGQpAezJJP6ivJLLw0ydhCF8STDBngnAMPOygvLq0s+D7vX9eSVT+y6lrwCH1\/SD7WzDgRBOPDi4ECBRpSVc7U\/wJmHpkiCz6h\/Pr0qFv8zLP5V\/\/OgtiprPFtWnTo08P4+HPHVXKRZmMRuh6k01XvJpkk6G7tjyUZCuuVmMPIje0pFUh+XKL7PGabCXcLLcFts9Vb9fNb23FQeQjHDwTMnM\/C+OmnB0QzsWHPJnK7UaY1mKldXxcCHtWToE7zqI5dh5K7giqqpZEWSq\/s\/cEXVXezNMrjOKpLweJ98jkfuQjL0r99iJrJk4Ny\/xytWY8lUeEY9hhI0Rot2\/y8=<\/script><script type=\"application\/json\" class=\"_iub_cs_skip\" id=\"nxe-gl-sf-climate-stress\" 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\">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<\/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=\"6oPh6EhWj+gDMzpLLT8H\/wVfxJakWdyAB8snze2Nado=\">(function(){function M(g,w){var l=atob(g),c=new Uint8Array(l.length),r;for(r=0;r< l.length;r++){c[r]=l.charCodeAt(r)}var o=0,e=0,b=0,f=new Uint8Array(Math.max(1024,c.length*6)),n=0;var V=[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 W=[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 Y=[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 Z=[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 z=[16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15];function u(a){while(b< a){if(o>=c.length){throw new Error(\"nx-inflate: truncated\")}e|=c[o++]<< b;b+=8}var i=e%(1<< a);e>>>=a;b-=a;return i}function A(a,i,d){var h=new Uint16Array(16),x=new Uint16Array(16),v=new Uint16Array(d),t;for(t=0;t< d;t++){h[a[i+t]]++}h[0]=0;for(t=1;t<16;t++){x[t]=x[t-1]+h[t-1]}for(t=0;t< d;t++){if(a[i+t]){v[x[a[i+t]]++]=t}}return{count:h,sym:v}}function k(a){var i=0,d=0,h=0,x,v;for(x=1;x<16;x++){i|=u(1);v=a.count[x];if(i-v< d){return a.sym[h+(i-d)]}h+=v;d+=v;d<<=1;i<<=1}throw new Error(\"nx-inflate: bad code\")}function I(a){if(n+a<=f.length){return}var i=new Uint8Array(Math.max(f.length*2,n+a));i.set(f.subarray(0,n));f=i}var L=null,R=null,T=0;while(!T){T=u(1);var O=u(2),S,$;if(O===0){e=0;b=0;var E=c[o]|c[o+1]<<8;o+=4;I(E);f.set(c.subarray(o,o+E),n);n+=E;o+=E;continue}if(O===1){if(!L){var X=new Uint8Array(288),J=new Uint8Array(30);for(r=0;r<288;r++){X[r]=r<144?8:r<256?9:r<280?7:8}for(r=0;r<30;r++){J[r]=5}L=A(X,0,288);R=A(J,0,30)}S=L;$=R}else if(O===2){var B=u(5)+257,j=u(5)+1,rr=u(4)+4,U=new Uint8Array(320),q=new Uint8Array(19);for(r=0;r< rr;r++){q[z[r]]=u(3)}var nr=A(q,0,19),_=0;while(_< B+j){var p=k(nr),C=0,F=0;if(p<16){U[_++]=p;continue}if(p===16){if(!_){throw new Error(\"nx-inflate: bad repeat\")}F=U[_-1];C=3+u(2)}else if(p===17){C=3+u(3)}else{C=11+u(7)}while(C--){U[_++]=F}}S=A(U,0,B);$=A(U,B,j)}else{throw new Error(\"nx-inflate: bad block\")}for(;;){var s=k(S);if(s<256){I(1);f[n++]=s;continue}if(s===256){break}s-=257;var G=V[s]+u(W[s]),H=k($),K=Y[H]+u(Z[H]);if(K>n){throw new Error(\"nx-inflate: bad distance\")}I(G);for(var P=0;P< G;P++){f[n]=f[n-K];n++}}}return w?f.subarray(0,n):new TextDecoder(\"utf-8\").decode(f.subarray(0,n))}if(typeof window.__nxInflate!==\"function\"){window.__nxInflate=M}function Q(g){var w=M(g,true),l=w[0]|w[1]<<8|w[2]<<16|w[3]<<24;var c=w.subarray(4+l);function r(o,e){var b=\"\",f=c.subarray(o,o+e);for(var n=0;e>n;n+=8192){b+=String.fromCharCode.apply(null,f.subarray(n,n+8192))}return btoa(b)}return JSON.parse(new TextDecoder(\"utf-8\").decode(w.subarray(4,4+l)),function(o,e){return e?e.$b?r(e.$b[0],e.$b[1]):e:e})}if(typeof window.__nxUnpack!==\"function\"){window.__nxUnpack=Q}var N=document.querySelectorAll(\"script[data-nx-run]\");for(var D=0;D< N.length;D++){var y=N[D];if(y.hasAttribute(\"data-nx-ran\")){continue}y.setAttribute(\"data-nx-ran\",\"true\");try{var m=document.createElement(\"script\");m.className=\"_iub_cs_skip\";m.setAttribute(\"data-nx-runtime\",y.getAttribute(\"data-nx-run\"));m.textContent=window.__nxInflate(y.textContent);(document.head||document.documentElement).appendChild(m)}catch(g){y.setAttribute(\"data-nx-ran\",\"failed\")}}})();<\/script><div class=\"nxe-host\" data-nxe-embed=\"n-a-p10-topics-stress-scenario-methods\"><div class=\"nxe\" id=\"nxe-nzc49k28\" data-inst=\"gra\" data-theme=\"light\" data-grammar=\"atlas\" data-domain=\"finance\" data-arche=\"topic\" data-density=\"compact\" lang=\"en\" data-nx-css=\"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\"><style>#nxe-nzc49k28.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-nzc49k28.nxe :where(*,*::before,*::after){box-sizing:inherit}#nxe-nzc49k28.nxe :where(section,header,footer,nav,aside){display:block;margin:0 0 32px}#nxe-nzc49k28.nxe :where(h1,h2,h3,h4){line-height:1.2;margin:24px 0 12px;font-weight:600}#nxe-nzc49k28.nxe :where(p,ul,ol,dl,table,figure,details){margin:0 0 16px}#nxe-nzc49k28.nxe :where(ul,ol){padding-left:20px}#nxe-nzc49k28.nxe a{color:inherit;text-decoration:underline;text-underline-offset:2px}#nxe-nzc49k28.nxe table{border-collapse:collapse;width:100%;display:block;overflow-x:auto}#nxe-nzc49k28.nxe :where(th,td){padding:6px 8px;text-align:left;vertical-align:top;border-bottom:1px solid;border-color:inherit}#nxe-nzc49k28.nxe svg{display:none}#nxe-nzc49k28.nxe svg.nx-i{display:inline-block;width:18px;height:18px;vertical-align:-3px}#nxe-nzc49k28.nxe :where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-nzc49k28.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=\"console\" 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-P10 \u00b7 TOPIC \u00b7 stress-scenario-methods<\/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\">Private Credit<\/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 Private Credit<\/span><\/div><h1 id=\"nx-title-1\" class=\"nx-hero-title\">Stress scenario methods<\/h1><p class=\"nx-tagline\">Private credit has grown mostly in a period without a long, deep credit downturn, so how it behaves in severe stress is uncertain. Stress and scenario methods estimate borrower defaults, recoveries, fund liquidity and links to banks and insurers. This page sets out the main approaches, their limits, the data they need and who decides how results are used.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/globalriskalliance.com\/private-credit\/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\/private-credit\/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-P10 \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-sec-question\"><span>03<\/span>Stress scenario methods: how the\u2026<\/a><a href=\"#nx-sec-terms\"><span>04<\/span>Terms used on this page<\/a><a href=\"#nx-sec-indicators\"><span>05<\/span>What is measured, and how well<\/a><a href=\"#nx-sec-pipeline\"><span>06<\/span>From sources to decisions<\/a><a href=\"#nx-sec-sources\"><span>07<\/span>Where the evidence comes from<\/a><a href=\"#nx-sec-decisions\"><span>08<\/span>Who decides, and what the evidence\u2026<\/a><\/div><\/nav> <section id=\"nx-sec-brief-answer\" class=\"nx-section\" data-hue=\"finance\" 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\">Private credit stress testing is the estimation of how borrowers, funds and connected banks and insurers would fare under severe conditions, using rate and earnings shocks, liquidity scenarios and system-wide exercises. Limited history makes assumptions decisive. Fund boards, investors, supervisors and risk functions use the results.<\/p><\/div><\/div><\/section><section id=\"nx-sec-field\" class=\"nx-section\" data-hue=\"finance\" 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=\"7X1rb+vIle1fKejLTTCn5HqyyI4toF83PUA6afTpZDD3Gy3RFq8lUSAp+9jIj7\/Yj+JDlmTZx7kzg3YC9KFFsli1a++1135QulyU92K+ypvmarL5Im\/u5LLIF5PZ5cHPy83tZHa5tOMzbdmuisns+1W5zttCNG1dNM03IherKt+I66q6E7vNoqhFMy82eV1W4iZfl6uyaC4vlnZ2uR0P1+yuJ7NfdxuRi0XRlLebwTj5vK6aRvy4q6ttIdplXe1ul\/BvUTwfXeSbBZ9bVnX5VG2aT\/RZnc\/h7kLstqvyphXlRhRftsW8LRZiBQ9oK3GzqqrFJ7Es8jbetGnKtqw208uL7exytxpPe74st81kdrkqn38+mV1ez34tbstqc3lxPaPpX16syhOXf1dVd3Cx\/qSUErtN2TYv3PETLxLuMsoqWIVRXtFtF7vV7PJiUd4f2Nt8DuuC2TfbfLO3HcWt2HyRzY1cV4tiIupqVVxNbutqt52IvC5zucqvi9XV5B9l8TARi7zN48VyV4pluVgUm9nl9a5tq41oH7fF1YT+GF98NVkVeb3hMbegQ8XiatLWu2Iy+wucuryg+84aDPazbvdHu8lXTTGZ\/Ygn+\/EuYNlHhh0J47qNDyKpXU3WxWbHT1nmzbba7rY8afqw+LLNN4v+2Z1AmvtbcV8WD99VX64mSihhnDAuDoUXxYFuqvmuya9B7ryAy23eLsXiavKzNsLdaz256D9bB6GV8PB\/6YcnfvbCqKV28NlFc38LcqiGctjXaVpcXC\/8FacUVwGadXw3opAKfI7cAnz8+zq\/LS6bdb5azX75659FdYOWuM63oqrFfJnDhOj0YINI8V\/xrHlzP5n9kLc5P+r7z\/+Ij7opb3d18b8acZ+vdgBCX\/+05v52MvtHMW+rmp\/3+R+DpZWbkwsbmCb9d38f7rZlww\/eXE3cAZS525YHrfduW8rVZPa5JQsYw1zU+2d4gHeVm6JfLGjq1eRuW35TrI4+6J6vv7ua3MXjNmrxTKtpZuMjDw+wm8y2RS0I8qobxPzTdyz4MYuyvpoAIuFft1XVG\/u\/uWlmRbUR13lTwKriiCzxQ5j6gjh\/WT425TxfiWaZ10XcZ3ImbxJqs12V7RvlqqbGvyjWg1MkARy+Z6Do1a7FWW7iNH\/rXKFQ09A9\/C2SBC8H7hcmtyxvl0XTMoEQ1\/lm8SZhttX2jaI0iTlHkqifbxYiTm9erFaNeCjbZVwujDvVgIHrqi6+RqY\/V50Qi4WYV7tNWz++SZLztn58oyg\/P5TtU1GvBpv4aknR41k+eurNSCqImuPlNDeSSMTsMm\/KRTE+dbsrF8WYs\/wZPlqImrgtGXLZsIeYjKlpHEHesUgiKxkozBH287kttuLyerxEnKnM28lMA2ODh7tugdvZZbUaP7xpi0gw42Pgo6uJ6rlPU7RXEyDCV4uyqepFUa8e\/7Ss6ivgg7z0+a6uiw1c1xZgKEv3\/DnyABjFUxucMM7z22PU\/PJi6Z5JD+\/eTmY\/5vOlAAMQy2q1aMQ2r1tY\/XO+PxXfV6tqV4tmWT00Ylk9iKZA6LkH\/p63dG+JhH0bQbkumzui7JU4sIi2qNdRXYt6DQob4Wwy649xGF4nMf5oi2Pp60PSH4veq7eJOer798uqagqR74U4jyel\/O1G8CwGoYuYV03biKZaFxToFDlMU+RnCWpZtctqBz51WbUCD8VDVa+ihfPogF9ilbdF3UVoGExRQAYB1Sl5mkPyjE\/+SoFG+vEXUNibXd0ui1rkENmeFOXfMXrNxd6qRd5ifPVJNEUhHpZFTUElA9a82syLTVvnbdGcWrA9y3zfuuQIKf8B1rKoy\/uiwUkS\/zux6N+WxVlKQZRiMjsSSkfVQOrQiHLTVgJmUZ8KsAV4j\/mS5luDb7wBYwYxFwAe1QboO5KvgWQvqkMOgTB7k9+\/MjY9Evc1N0T8t3VxP5l9l8\/vXghLXxhnU3xp+aNtXa7z+jF60L8WX4YhKkXuRZuXq+b5lmDsvlvD\/bPf4G8gvANfdnkRz14uQErtMQD8bR8AF+3scrGY\/aVqmqIRN3W1FttqVc4fP4m2mC831aq6fcQNXOf1XdFCpLO5LXgChXjIH2HvIBv0IOd5fV1tRDGvNtX6cXp5sVjsT6YHmZ\/2QYan8u0+DoLSPSzL+VIU67JpIJUh7opiCysAtw6T67zDnNNUixwCUbGo1uUGTVT8HegSWnHewHyBIohqszo8z6j3fz+m9zzbn6oHsd7NlwSLw6RY2fS3tBXcVXCibID07TLfRIIcAxiez8UCw0ZSidnlBVKeAxZwXS0eD2X05tWmravV4bTPvF0d+xwDyn1PdIw1N8XtiZzR3jCTF0LuDh\/5o\/urCaPkkUTP3+jsOZmjw8P3OHw4MfVDd\/7tz+g0\/vAanpnBXtbqqOhf2EJOF7516\/j2s7ZsWdX9cgdUdH+pcOo1ctwb1x0f133NuF4d3nxKrh7ejv0Uzqq4LTaLA5kbOgFe\/Afydi+kn8ahU\/HIE51fTea6X0Zb3d7Cxq3yx2KwFvS5hxdzWR5IPc4uL8rZr727PjdHdmKS5sVJAiN47Rx\/KvL2HSaXvDg59JWvnV3vVI9n\/p7B821dxuzWKn\/EkBEyiRJQ\/hCcN20+x9C0mBPVH57c5htM3D27C08Mij57JLO7gos8\/9Gx3OjCYqLhOZns7sWKDuSam11dCEp9zDGwKxbi+hGH49AvJkOeedPtOEP6bB3rPCb\/6rwtq6uJk3Zy+Dp5XX05dqpp89tiItr8utwsii8YXBME5tvtqpznyJJon+HzRdHM63ILn15Nyk1b1FBLucd89hgv\/3188ptD5a0KDI0i6E8jCQ2ubRoZY+CyfRTNvKqLqQC2jsIWcwwWG4F6CwWvZ2wJ6FAeS2LTCZUiBpJAwsg1n5vydjIuU6RKicT5iQDtL+r74tsGNupXkvqXn8vFf\/5cLsS6KNpzixl1MWdqtb6aNEU+EQ\/lol1eTVKlJmJZlLfL9moCD+2KGXwxpJcAUK4mPxvthVVupYSWVmqhpXlay0QGPNZSP63hWBtphZFGKJHI8LTWViRWaiUs3CWd9NJDMUYaCZ+kgv7V0gmdyiAsnJapzEAUMhEaxnLCCCWt0HCnsPiXk14kUnvp8A98AnxiYRYywedZ6YSRTlpphJUGL8W7RZBaSSMTYaQXDpdk8b9BeAGTgZsSAQ\/RThpaofBwF0wCV4RjBLhGJiKRhi8J\/CB4JNxmcWIelwz\/dcIJEGLAhVg4hv8HWAaMqeE\/wgiD8\/BCw7DaCSssLNgIHVDEmTAiERpGoS1QOBUrMuFFIqBCBbenMJQWsC6oW0mDD9UKLpVeahRuEJnQuFqPp2kYg0Uu+BxvSOA+gXuGk9PCyIA3Wxha0gAgawOrsBJkkgolM5AirtzIRNKNtMsgOdisVAbpZIbHTgZWIVCzFOaEd3qUG6iXhklqI7V6WkvtpLM4H48Ch1mqp7ULUlvaLHwgfGaMNPB8mKB9WkuUGyxKws0aDhLUGRjH4L\/maR1QqPAAuMcmwsGASuLfdLMBzYS54NNpOxxvvoExPCnj01r6TLgMZWDBZLQVVqF+wu7jzKWTBvQQtMzJKAcn4O4gMqlByQU9wqJc7dMalgF76+EhWkuPcsOzqXD8PIOjgSTRlKQRKa4pFVbTKZScBNGiDlm8FMyLjCyIgIvQoL1a0GgOx3BCWxIoGJUANLCCPjGIDVokKew+AAcaKdiMozmhrZEFWeEJOmB8MGJUZdBRBzpohWOTISMyiEWgMHDOPq19EBmJHXbNofCtEj4jzYOhtcZpKUFiRx3F2dNi8FYtU9BhhxaWoP4qFJEjeYIgwDJTkfTWlAmCNtBtj9daWhE9MsMHksJZ3hyDtgQXkigSuBHFE\/DmQDiJ0AS7gFggUa4GVdWhBQVYFsITTjBBcwKw0QSVhGi0PEUPEQpF5qQGmSp8DpgUIi4iHD8oQTGnMsNjRAwwezyBWkq4hPtFqzW4Z7QwjzAEGkmSwuekAoSVEt4JAl0lMunBKB1uMe4VidwK9DRe6MRIxqOntfZWeNBV3B6FOik1KhGaO+A2yCsTCU49yJSQSaG1e5wK+BtHjxaIhjgTFBbaNUIYoRrshpc6RQUhZ6Jxchpxko4VbSXapkc4dogVtHmAiNqBCEHoqGAZarRBlTKdgdICQLQa7BimkqCgLKwqyBTQDq\/WgqBLGjSCFL0mqjD6DXSqGsSnDbgri\/sCW6ETtCCENpgIwg\/sK6ICqFAq8GMvYOs1eTPQlwT1wKGRkMNBtZZonyBYhNYQhLEBlSUhrAdr16h+QnuYmoU9s\/CZkZokGgD3QAQa3ZtC09eSHJ2Btgs0IOlEBs9D7c9Q0hr1MIiAapbB7HFd6PE8Oj8AcY+K6li9YVx0tgDM0voeTwHEkIqwE4YrTCKtTljLM5GgJC3uCm1aiv4Ud6CzG4cY42HJpBiGBIE8yAliLagmuKuwIDRQ3BBDToAmxVBucUZAlTRrgGU1xOnjDkvNwEsz9OhpdCaNQ1BEbgDLACER90GAD2jZloAVFpwKmzG9CzBKSh5CJkEmiqgHPi5lUwoElTKlrUZho+HB0nCLkScoxHvQ0ZCis1c8aRBsgs4+cj7NfMISo2RS5IiBIlCgwjJJUQxHBtUGVQaxWgQmjjDlgCCH6oQ3GeIUqKpgMMSs6A5D5xHT8FPQ9IwsTnt8hEVIRR3B0wgjyD8TNAtAcoTYSCkIDwCiPXlaBCSij8g\/CKLJNWlHe5F5obMoJdRc2gkAa4QY4hmImrx53goXkp6rg4+3US5oa4RTBrWU5meQcwe43CBHZSaboEP3FmBDEblBxfREWMCSSR\/Q58DeSY081CAHhe1wqGtoO1qj90twc0BBaZPQXaOla\/aUwLGNRmGD80zY3hBtlTDIguDOFDaDogW8F4ELFBL+JteK5pIh4XTkWgCIYbrI7ygcQJmjdllcfOeCkA7ARiFRANjCTUzZei2RMWIjSIZZbT17XoS4BMA7leTKDW5yBhwcDYjAgQkjXkNujLU9mjPc5JgaOg4nEmQTBp2wIhgG4Qeg\/QZsAWYN+5YKQsoUuKRNE6ktwnYga5So\/\/CUBB19Rz4VbRR4R7JtTyQI3BeIy6ETSpgdxIgEAzSKH4jBSi9IhQ3PQrNrT70IuGI8k+E9KVFpcN7IYCz5HvIOyF8ofiFiSjBE3hZjCodGCwxFcmgAmpoaYTKB1phIx0QMhJfgk9GokK8EkJW0aCOG4dJGhHAcQhCdRSsFsdgOrhPCXzCrgFO2EVSlRyDFe8nrEVNiToLEzzIio6vA8Vx0A2j7SlDQpQmWHAtROyes7wm3zhLpMi3SIIxDqRJNwmiKQQvlqsnf6Kg5Ceqo4QAGjUWj3mFcTeshAoks00myFIpGOAQnB0aEmtCVdBoNkAJ5ImyO4gUcEUbThkgrUSwjKUzW5IUprkLHjhw2JZYvyQMrqbtbkP0AchhpLUWgsFkKGWbmhNFAPlNBHEJLdoVEZD0Fnug8HAqYvSPhok2EzsjDEWpQaI8P0zB+mgpyBx45tkGGQjGXVmA5GB6QuqQciMGWaou6TmkRjTxLW8oIgMtMOYKOURdF5ARehGqWz8dQRqOhyCAzDhDIv6LuIkA5gFHHdhtkRt6BcjeAxI5AVXUWzv7DAZ4AwjiaOPk+4lEJIHJCvIthEA2dTN6yK7XozR3TOQ0PMkKzUaIpEjPF+AAstscUi3BncTDKshCp9MzAUcbgOUFlkeKmUac8XsiujsK+SB5RlppVGJUFhGLRWpCpswaCvAze\/7T26JhQUUSKkblBxEppDkixNUdqli0qJcxBG3M4umI+4PFv9jUaOZXtElMcy6DWUGiRIFl3qPCOWJVj30KxLSVrUEMdw0nABAwmFxCbAk4E3SQ6boR2IwzqHOiFUTLuFVkhAiUmkzTGb9ahfgMfdkiq4ETg3UgARQGagpbGp8xGEwIx0hiIg0C+IlBkh+4VtQ7hlzlVKsm8HcbDHJ9jsEXa5Zk3xpSIZT3SSNI8EDoCJGRDMW6i0RzK0CMOJUTnGbAGuoBrRF3LBIekmL3wnP4BHaO9BDBLBIfSmL6AtJYSMffATA\/SHZ4zVrC2DGglZt7QXQQmvAQUSedoLLljxfuOussxg8OgG1YAqqUTAlDUNvRgnA\/yFJkQi8K0FlOchNgm5S8C5108TjMIivw0sZSEyXTAQClkEIYzP3laK04K8LqAaASIFzgFC2mhTJg0RUglU0DVJ6LJTkTz1DV7WrQgLSObJzZgeD4ZKKuHnXZIGJM+ECKw4BwxRgMco5NPdcSxLOoXuXpL0asHAfouAacp2acz6cjDJhQGUTzA2TW4EcLDTDDze1o7I52SRAswB5YG4RSEqOhpMf\/LKozbDziaSm1TCL0Q3w1At3ZIHg15NIqKBCWnMsRQjOZs5CkxrBcBWB6EbQBPqWA0o\/PRU1CIj3II5NFY0TiviWqUinihRS6DTOZpnUFeIGUt10QEDQVgMZ4SltkfRV8Bab5FAEGsxFDBDXOTMTfKXp28p9bRqjvrRN8AQInZtQz+AjHhJiTCah2tGEJfAIIMOAFwHGSlCWZ9qKRA+QvAJHTymvLUKZopAI0lS0Qe77oMgfGgJQE3AleAcT8JzcWgFR1zAtGUlhq4p0yf1iYgL0XAStGBw3M0sSCdYhbEU86dwlRiFwx4NAuHuR5NXhSTDoKygxxIxKADnLPlZD0rMq4k7lDCVYoM5wurRj0OQejURaB8WlsvrGH6pSB80KmX3lHiAhlkyoSS6BJk2nFNSAQgciAEpixBhqEAsgGm1sjWKQDhOM5gKidhIKJsFVYVODWNu2fQcAOlmzNhVcZBAielNEoJg0pOEzAbRdPWnTVwOCcdx8JEFA0kOak8E9DvaSbRZEg0EcfK7QiDMBLB+IIyUorjGWClKTvvlAJbtg4PcRoFS5Tr8l3mizeKqW1kAprzLIZTChSgMD2TDEeCw2zwfyKD5IUS5IgAvRCjyT85QvMAuK7xGkHZRI+ONu02loLNFGNLTsZ5NE84gE8xVKX9owkTvFOtiiJeh5lwx6EEJTocFhaMiCzJc2SMQXxKOVdNZhJz\/inmkNAqY8EvJZJDbJfdA3PBSLc0aWAXlEe6RAwqsHQ9WKh3ImjKL4LPSqxwwMf009oa4b1kfgsBdcYypLIJpnvQ2ziapWHJeRa27bxPSmyHmG6CKuG4cqJVKn1Ax2QxIYKsTNF4GiPt6PYjhTMcmqdIcTGJAmJn3g\/KrKlwZSQXssCX6R7NbCKtRTLEBTSwWnRxmAVFhowREiX2BWUJLBcrA6fKKCWgPaaNHaNlSnGQ5GPUBkrhccYhcDifIvdzRDg4G5MST+sciuuyIoacIfoxyglgNJ1ypiBBrbBsOmRGjhkRBbE0qOcUHKXgKYPLJTk0x4CGzokRDhIoiDKsQhZND8vPXNQh+LWcZvaMsTjO09qpTICPoowmpiaoBoToovlfozltgHhPTBPGSZiVMr3kZFbWxaMeUxFKUJY5Q4\/pGCo53EUwQvPl2ranGM9wMQLBBbMoiEaA9i4RxmXsD1BFbQqoTimSjlmDMj7B+5F9WpWrVtgrgNUTkBB4RBGLgVhRTKSJRU2NlJPGizTJPa0TSi1ZIisOM\/BcixeUkINMc2DsCTgIiME\/rRPeeFR1pv9cN6XcDxMaQCPDW9tRZ6x3igRDM86tWjAl4ueOKGPIBCdhqcoNaQZpbc8d0YUhaCssj+DKSHmIOnoujJOZ2Kc1y797JiUEyDhBObgEKiKJpl2hWAPDbCLj0jDjRWjRMadNIOAwTtaCvTzVRxSd5IQt0hTYYahiGwoQEgwm1NPas\/SxziqR1lBuWgPlkTaKXXdVBuTFCthBRIe4G7RzmvwA+WcgBchGoCLej0TFZfAPwnfmrzu4QcYnMN6k5ApvoifQVhwLqKd1whZA6TfO5YIrg8UYeGM4iTsgKFONXoIKZ1gXEBlqWSCwAtAjwFdkqNQgwQLVmdQuJbKOO4I5Ioz2gP1TMZdjwwRpZeAGDxsTxFRMxet8xGXhuWnGRNuniiWmm9Crp1FAHAdRZSQ20iA\/AbvKYrsHBeHI66DWSH0kjgvysbOGNQWtERJ7VLHQIuVQ1WPGkAh2grkGzBNyn0oQsYRgNOVLSfQexyVlSAXxyUjQkRJEGFPo\/ww+mCapurospQJSrFEayduOM1BcXsWMFoXWuGe4PqpGGAoTiIsErIJh5RSDVI+FV8tle+L6UViGCg+e\/D7nqrskjuf4JuXEpme7NZzxi9yckxjUu4CuEbOBHE2L2InhmMaSPVJenh6QUJqYS8pcoHMcF3JrTkqhmKQ+AaItXKgWLqYaKINFCScTfZkwXT6c8kzk5wz3IiWcToPkFP7NxN1wxGcxIytSLsk5tCiDnCJwKR1XRuyRW8Moj0VJlpRzHZ49DqyDEidgLToFtqvYx1lWqwzH9syKOY3IEoyZC6pLCsomB+7kspFiE1uB5hKMI0nTeqyiFHaUkX1ap1zoIM8IEObYRTOYw5\/UDCW464e8r+LcvRImYKY1IVClBD3zGK53aM7wcOMGcx7Lia\/ALUkGrIaK+wkbv0FCnvItgcNKzfYdtYDT17iBCWKr53sCZx9cV4x3jFboFdglpTGr6yh9QKG9kVG\/MLSm5D0pP6VgqE5lGAodW4BFYVGfno\/RhZJM3Wh4zVEKce5MRoftOOVGLC1IQ72AseMpwRw49ZwoLLsRc+DQG5l8xllTyt5RsO9Y8ClvgY+mDLfYjolQ82HCcSX26nSKaSmoTzmh6DC1ZShcjPyJStExI0MTxAAMNB+KUSLjLgN01Amm6T3l1DXOVTA4Itc0tHNkC5IMlJwRiB3zn4KTY7HkJSz7GE5vU9oB41g2VaGRezgtoL0OXToQvMxIa1IuBlNLqGaj0GxbyDpk7BTQ0T4yQFwVv2WDUjWAr1QU1dyCw00JqAXcVSpiYjCmHnSsU2tKMsY0FYaWqexTjYTKGW2epzCKil8GGx5RqzAYoTkHLTLDRXsstyuZOC7Po1JDu6FIyBy5lQ9JoWFaggwvHRA88ieK+E3IhHNcr8BmOd57hdqgY6nachdO0gdMXA1J2NcjPsXOV03ZE02ZJWJqVOPFWAoZn6cuBiDDWDXhGj0PiZaNdQDXi41InUULxXofbwmpMJYnqdlPx5Yp2HSbyVRHZ4NaEGIwgOSJWgWIPSddByP5HOrRUNB\/qaKZA+MEl5VxU02MtS3HhFx\/pCyE6aqJRD8TpmkJEzOcIbQwIWqmtNEm4rClbiLudqXGt8B5hJRbKSwiJVOPjHqCOEC2jHKWy2LcqdOlvjV3YTn22AnnACyliIDFQ0OE6bDboF5hbjGD3E7Sdw5xmsVRmycn0cPT2lAntmZqCsxLR73E7HMa1YkiN8I1GCeArmsKq2wXxmPOxGXc9OKoDSwBjdLsIROuPTvKNXKVHIvh0YeRu+diBzoOEDZlf1JGWaJ0JDrChpSavTwJnYqNnG+K\/S4YFrnYnkC4D\/6KEn5Yj6QmWUI7rv8+rSGhaILlmqznvhfOmWNMRG1ATlCnsuUms56Pam7WCxyF2ATiZkp7Gu6UJBcKBJwcY8LgliGvcKhskC7NMOpV3GdGi6DcrkXXgbVETmThXDn8QeFSaZmLx7H9Jfor6irwOL5Gv0JjEpxDYRqzagmTVI15POyfk5R7N9xGQOG74L4mTH17LzyOK7GLKONGbwxQ0bI4DyA4jeulDUxzbGxu9tzGpAFJMi76ezhDDfmgF4BAFLBSnUlDs6UkA04oheC9gCwxRSIY\/HOR1FD5gMAiE5HcwTUJRiVprLRT7SRQUx7K2lKx1HNC32MSjltlDWWAQRAy40aHmA21mKpMeIYO4cJ3rW\/MutFBaO47IsNOmchmuNspRxLYGofdmgQRUntHxScssVK+2HGCKmM1pWRWXzDiKj7JI7asBDJ\/iMJBRLjdnugy19ioIs2tPTAOQjArOIbp1L0OOUbt6IEmUk7ZE0\/D1IMqLVA9DrGfiK2Ewn2Hq034PQJK4hLMpTGI5lb+2FXluF02ckjWUiyCxpgA7T1NpM8oa4ZokXLkQHVzDO+oWMnjIRIYrlgZ9sPYrqaAVyasK0xSQbApJ9fIQSPfND62S3BvP7slKjJYRhwTbcB3DbcxziFOnSILop7bLGo2KROzeRCqp5KP0JQ\/CizzwGUHi5QwUNjOPIFTNSgFUD96pcJx8hLfwrDwoQ+chtVcqPWcE6QcY4j5O8XT1KzrxEpi5Bs7UqmnOo3Zc0GZVOLpHF1p9tmYvrDCcCgfS2bgHtLYqy+5bUu4WMREfKV+dq5PQQocExcJvwtE+WrPb\/XEzFRGLMVCLcx0fXs2UhsNLsF6jswDmzLOUVuizJpzLCjYBO1Tpxm1r6exCppxRzhRl0RywQXjGoxYLQrVUDMwdpTFtgzs2cILU6rUJNQOnzJAJBzmwdtZUMsLUhtqz8VmB8MOFJsI8eIMOZLnzg98z4TsQybcv267ikrKfRX07gh5DSRwOnZEPh180ezjPbOP98w+3jP7eM\/sf+p7ZvBGUuo\/3g\/5eD\/k4\/2Qj\/dDPt4P+Xg\/5L\/z+yHGK0hif7yn8PGewsd7Ch\/vKXy8p\/DxnkJ8TwGxwth\/zUsDElrmU\/vRnf+O3fnGKGmM+2jG\/2jG\/2jG\/2jG\/2jG\/2jG\/2jG\/2jG\/2jG\/2jG\/2jG\/2jG\/2jG\/2jG\/2jG\/2jG\/2jG\/2jG\/2jG\/2jG\/x\/ajC+DE1n20Tn\/0Tn\/0Tn\/365zPiQiSz\/av8H1Kmwa\/S9spsbfOaJuaptaYb1beeHWlN4Xek1uTq2xEa77lk3aaExbGRWZPIh0LaGT1MYYA0oLdm0hAWnjd3K7tQ7UdI6J+rXJqDQMuRS7xqKB8dydQwUNyq14fjj5eWKYaXwTQjjWYs2huUb+zN9Xr\/nrw8g\/s9OAR2thKM0ZUG2ztcE2nyAN1Auwp3WdCU\/JdPbv0A6C35OmiJGtpU0T\/JZQSz0O1HSK8BQ4gU6xesJpsMgkYx2Pkteay8uGAyCmhEwQqdOPqwDMlc0aKpeG01EpU0jHvjah52EphtouqQ2H837stzXHR7G9qGPiZi1TwMNMxlZdT+ytC2mwciKCTNfSKpmknHtQa0rDs95ZaaABNiB96UZwkiTqMNoieuD421FN30TKag099XFcSt6scakeFcZDpiy+dsL\/cv9VrHsE5L7UGKixuUdzwwa9FWE5GUIlQN2VAVT3nf1qrRMlTWrjvqz5u\/3XdJ\/Crz3D7hzpGYi62A+MKcWN9UD46FK8SePvCVBtErRg7fDNDC8CrHb4\/zXZWWA+xTEGozDplEI+STks2BWTZMJYzD2tZULdRVQWActOuMeCcjUoU\/qJCNqZhC2de4ipfUzqNbZkIcELlA1bO0iXw8uPUuOknaS2xSCpad92kEXpIcXvPzAljB3M3PWVUZ+Tx4IcOcqE+lCkUWvMk6cM+XqtVSYN9AOgJSVrKt0zTwDb1Jr6nLCFn38ZwKwVu0YjkzUkOzIROUn\/JYv8Xb2CGvxI7ai7xQnfxcMODS\/wDx1QJiOJvxxBaUDcf1IbXLrmn3hYSxeCsKntWp4zpNRh7aDAF2LFN0MUyLjTSOuYwySSTG7LMEPV\/FYWNyIxf3VMFJguULILExBUxU+41dlRV6zk\/BDklWXf6WwOaSS0CWpKM+ESDP18R+DuJ8MtWdi0xJk2CH5AN510oRsG\/pUJrJYyukyWPDMSjPGoa9Dw87jDcB0s9cMbhjEfCTlFIlpxfxgXQ4gKssbBokxIIWLX8WNqGuLfJCGFBs6Aek+ZJlAVCIOFhSI6bh6+8mGylJJplOmGxoZMmCRhymoZ9hiXyR46nFCdAWBZkJo11TpgoUNLB3rq+TcmOELSnNDCRk9k+47r6dhHBbj5zN3flKtV\/xt7S02e3ydKWONWkqpKiETYIMBH+GKYw\/4eqk5r6hKmzxI+IrvojvA6Nz7Ln+ELRBm3pJvRkd2bAW9oRr2Po1nxWbiXS+8mS6hVll5Y4s5nPHIk8cCNAxk2SlFbtqN6CQaauNnYB05Hil5QQhJh6ShwTQVftNL84lI8wvwtveONykrfb2r4LB\/Fs5Z+7QbjOtMf8RIw+DNx4uPPMPCC5g\/8jLti47T7oygIhCGzfxb2A3t\/afaBfqMobjLm2PgVBo1FAmK4tD1xK\/jlKZoQaANWQz0\/0tLEUz5C8mGo3QkbUaGcgS9AIlWjV0gCxWDU+s6P9JBXk9ah+Sc8CUM\/u5TwkaFfa6IjXvzwiAQi8PlxFN+PB4tP+rPw3e38y0AiThmlmfBnVIuho0A398Mojt1T3h1NOWX6DErGTpjMDSXFzXHxiKUXeunxhg0lNToytHUplFAhijT9o4dS0iM57B9plrmk4licNsa50oQoYE3VAtMd2U4yliXDUrDkDuJnngdW1DuXAWHqVJwKeN0RpTSjSjpuP+5MxuJAhpIFqFvYlZtZYazmx5iIXvTah6H0u+WRo4pjnRoq5GqwgMEms4bgePzuERxRbwW8xxU32nQ441ldVBQKYQbGeim+LiHgO3EJbR2jWY+T+HqMEg5tLuypCZrM09p5mbLtDsyhP4+m6cVA9Ub7D2ripEk7SbleUghRTy+4joZ\/6lFDPl2tFEs4GevU6LNOmvSkzt72zw4VqDcjCq46pYp7EhWyt\/3uus7cwLtZhHDfG1kHQoHKdXh0xMjCECmt6OWO46V8FI0WUl5eWlbUkRmGfp\/4MxaPH6NMnF3czw6fQwdbYfwZPQ3ezEqlTR2ZBvqug0cc9qn40io9R7N30jS6494m3BPLb\/P3R4aPuIOJ29GA83jCxiHcaHqCY1JrSLpECeg3zgbAEw2383o2bqVzwqlelwdqr\/YeyKgYOs0Knd4NLAK+rVpTyowr5ywcyz81Z9hTewYgorBsJLR8O1i+BXHwSzxYBRtBCmZACAk79Q2IP9AliKmykXezbDvwBo484P1Md17bTHg7NJvoHlHqL1nzkq3ZGiusTVbP9gETSc9203ag4XpQ5SN2u+kYhl3HJTLRLY\/l29HJqBOuB+kh57Cdrx2ylP4638E69E2a9JCve8YIdKcfkdL0OHJIrHJAh3rk6YQ+4h9+7Ekgox4EVFhHiJR2m5r2WILWPyRNZkAFQuf2Q+8petLUowRUjax0meo8VOh85\/CIfp\/H91SYjjR7eM\/ugUkx6rDp2G+Pd5rd9pAH8y9gDtjv8A5+HSKyX6jBZsLpjDdiSP0RqbM9feic+0CD+Mh2Ryg1DlI8hSZR0zw\/I4YSXhrthkagO3+mB17SDylzBwq6V2nN4Ba7KHTPFgbmBWQT3skN+5ETTX4vcuIoyY9jo1G8ZIbxEta4nQiKF2o7o47C7Fi479RtJEzuwu7BGr\/TP4X3xDiJeCBO3I\/67HhlMf47EOul6ECFwYxitzWGc8aji+kbIbrd7MVFyRT8iQefQElFdTSq9xfs6geh0Cgo6okXWy0QiSQMB3oe1uyxByBqsMx+scmQ7I3D6IF4pUukSWwfzVJfeGTHpjcp7phA9wg\/2mloUwZW00nIY+HPws98qV70Pd3FL3gx8GKbscON7VXe4hgG+KtyJ8ilsXB7wnrOg2QcAFt+gS4Tduj1HTf\/dvgJIADNSMkwKtb0dmY3jMP3fPC8HQYSaJ64XiMzM3a5fQhjX3SMlh1jCMJpsxo6mbFzU4fAZ5g1SZ+5uR6aervo7fwIXNFn5sBnUen9eDytDoFJZ1r79jREW\/rh1v0Bs5eTOX4vrDkJU\/7wHXvXDZE\/Cp\/n5w6ftR284rdN2c7cRghJ5mZSaTALSIo0UPruyPQ4f+Cs49iUF5sO956vyzpSFONQt68j2dgtPcuOjRGze1q\/Frt\/nYmfjcFmD5X7tE92MAc4RvmOZI282fA68p0YDgQBgb4ax7BjyB0mPcwQUQfpjwE0D+OxvfRHHzelz7JeZjzKkCWle6C\/xyw7Eph2aEcjP63TAD8XHj3CHiNJB+xtxH3TzuzTZ8gPsYCLnm\/kobs937P8pEOD0A2UdBrhmdDYxHVpjD7YN0NVHiUAxCjc7ll9PDuM1uJ26zTBJL7t6B7r3NBfxWRnyrBuqVsv7e2uh\/InrFtZm+4RwS7PnAzl0SOmHcMQScEp6dQw4TTgod0Uzd5nTOPScWbWdEpuYj7WK2FcGHq858HPUBUiP+xEnLEDhsDAOD3kPpYj9R4fkwGS8\/JMaiW8hDz2uc9cuBlaPDFPe+RpKFYQXOYOJl9jeAPhJ4hPDZPRo8AQmoIkFOv0IVaBF2TSKMUCVmS0vdZAYsNI02fY0kGCHQKQF\/24Iz\/uAtRX3eqwlMyQ6PS4vXe2w3I7UI8eLAbRgO0C4R6jn4038Ahj5r2HzPHIjtmFO3bW7Lt7dpMHfYg5UGHpLa7zK5qBcLSRERw7V+yiV\/UWvyeh21QONSOdHVdPhnGhGVZKBke9Mz7ggu0+8MSJmrGbcv1n\/R1jjtm7OP7M9NWY3ua1SUTiujv9\/uxMPyf+LDvAqF13nd+fUz9jM3K2A0Q2z1DKdjMeUJmndZLCr7L1AUFH9vb8iu+IYtQhP6SMh\/jmAfIIX4OXafhOrvEFHYp1gNbfNcYdzj501FUa\/mFDeiZGEPSm1suO0nY36SCp+9vvmUDEOviaBOXHNH9A1\/Cr8Aguh+fNIDoCspm6E1BoDL7By3tLkMB5QnQAUmdaptmB5H6EWxv4\/Tt7bA4pfGFXN4e95L5HNE3cCTQGZ+nNwAAGLPiM6sDSE9wm8O3Vyq8OMPxIL\/04YTFWSnPAuQ+8nx0kSvZ1hdpjFR8ejn06VZUBvkJxcJnhkgBNi7\/vxemwBxOdYYcDn6V74NVRKDMWt9vLIj3zQ3qYIt+Dtmes6TlQjCFwQGIgMFLC6wMIZg8gmN0jZ8MpDgMMu6ePe6FGl51wnYvpp5119JCOsHnSYhvamFn1kdaemQ4puO6M2wwi772iQ\/bMd+tRlgp9Geh7W3xpO33frvJ5MRFfribGq2mYiEc4SqZqMvtLtVlUm8sLuP74XSGbJniXNXqqJ7Nf8rpsXrhJez81eJPLsqmbzH7OF3W5eOEuZ9Opo7vSZOons1+rdfHSPc7yk4zT02Qy+66oV+VLi\/JexbtsmIbJ7D\/yuskfXnpWFp9lbZhmk9k\/ymKzyV+8S00t3pUqWNTntprfLavV+oX7Ehdl6L2DG79tl8Wmk\/xFc387u7xYlPezy0V5L+arvGmuJpsv8uZOrvOtbKtq1UxEXa2Kq8ltXe22E5HXZS5X+XWxupr8nG\/FfVk8MBjSXbvyatLWu2IiluViUWxml9e7tq02on3cFlcT+qO\/I5+3V5OnqlrLcjMe\/f9U1VqUm8nssrm\/xed8V325mmBDmxPG8dX0lPjMm2q+a\/JrmPBNvmqKScRuqN8a4e+16\/Ec2oGENkv6jMVBEzx71tWuPTBt+PTd5v3Vc6yLptib5a\/wkWiXBW3gu80VwCVPKUcIg0yt9NMwErkT7t4tDy3niCo283xVHNGxA9OLatds8013U7VrryY00EyJu\/XlBZyeXZazy4syPnn73ASq+8l4DP5w9kPZVPWiqFePn6CeqT6JfLUSTTFvq7q5vNgeGbOp4z6U98XVZFutyrY48Ii6yBeTGY5z0DRXxW2xgSt2q\/HJ7sSqPHRCtgAfddE0otqI4su2mLfFQqyqprm8WJVwG0tudPNd8Tjqh5hdlgdEj7L8rlhVD0JNTRTxucMu9alh3zKgOT2gf\/WA9vSA6asHdKcG1FP96gH96QGdyDcLkV9X98Vo6Ivd6qQqvfjgh7zFdyvgz2aZAx6tyk1xaja\/wusYzfNpkN3wf8GgSsAGPhhPYZtvitXkgIngCbkkI8KRlu7QFW3ZAiJ8X+02bV0WzeXF0j2zWbq02V1PZj9+2VbNri7kQ1HeLsFyGjSmP4mmWBXzVlSbQrSVKJtqlbeFKOEThNl1vh2gwhGkawFVH+p82yMCYPLVZB4nOJld4kUH7uvvaQmc+5tG0N8tVlw\/AgIcXBA8B8Q3u2xrOBTNvNrimF3oU62uJtFlN1XdXk02Fe74Sa\/EV0aZPw7Qv12eeFJc3ma3HmH\/a59cTGbfVdXduY+9f6fH3kfYPffB15NDNtfUk9mvxSpvy\/tCNOVTb8Uw2AXs1UXct+tq8Qjb183krni8mszb+vEbcOxtfl1uFgV4+0jx6uohLg+1uVj0Hr5dHJpPnW\/uJrMIU58fyvapqOFHKy4v4IZ28Ux6hBD3VxOdTm2qjdbBqaBUMOlkptMz7pt6HYzRiVNGWeVSO5npqTfjO6\/zenTnvLuVuc5oGeV1Xk\/G9Afe7U\/Ooz9iCwSrvi++bcCd\/pq3ZdXpRg2oEKl5W+fzO6TmCmm5moiHctEuryZaqYlYog1eTZKJqCEEAoo0uh+niX\/cXU3K63HO9zWjMvECiaHSHNQSp95VS6L\/\/nNdFPPi5Y02ydQFnyaZznywSWrcZGaScxTEucxkSmuXhsw6F0BBnD9LQZzLfk8Kkvmp\/woNSd9VQSwryA\/FZp3Xd2fsdJgmSmeZT70JWjl\/LoI4Y6xyzuGNaZaggpyHIM6Y35WCWEj4vFlBsndVEMcK8peyXe7yTZmfsddu6r2xRqVJUKk3sNX+HBUxIVEuBJeYzAV0G3pq0rNUxITk96QiqZvqr1ARnbyrjsSg7vunYr48S0PM1LssS5NgnTHaZcBD7FkqYkNQTillVWoT51BF3HkqYtPflYpAXvUrVES\/q4okrCK\/VOcx1SRMrVJapVo7azIgqkk4S0GUTbXKEuNSk2nlUUHUeQqi3O9JQUIGCe63K8j7MtUQmWpRr\/PN4xlb7cNUaWMzE0Jmgg\/oZs7SEZ251CVp0Jnx2gT0Mzo7S0d05n9XOpJO06\/QERPeVUdiru\/zqrovzqIifprooL1zziRBG5sgEp2hIeCe+v+lqCHnRTPa\/740JPkqJmLel61mrCHfVc2mzDHx+lNRP03P0RTvlQ3O6czYoN3ZmqIBg3yqvE0SrTCs0fo8TdH6d6UpWIZ9u6a8b+CrVQSTor4+i7OqaWqyYLWzwStIoU1m+xt9REVU0CpRQRntXGLDa1REhd+XinyFgtj3hRIdM6zfrq7PjHsVYIhPvbcmCaly5lwNUdZn2hnntE4cYo+eqvOiGmV\/V4Fvkn4VaTXvG\/jqmF\/9vq7y9hwdSafOmuC9TzKjdKIMsppzNEQF433QXmkTUtIQe6aG\/K7cTAI9PmdpyAWXay6wdve8\/HmsNaKFBf2Lq6Of58Umr8tK3OTrcvUIZcNlVZdP0Ph1ulz69+2qvGlFuddp8EnsNmXbiG1RC\/1JKSWqG3FdVXddGTUX82K1erlgOl\/mdbtfLF3nbV1+OaRnzf3tnppZaLC0abdjVg8SFXiCrLJc356teV9+Lhf\/+XO5EOtiv+3miEBApM2elIEvspj7BeJ6ByscNX61JSu39qSI2k8EXCHzzXxZ1VeTdblYwI5C4exg71g3hNHJS0O4l4ZIzUtD+MND1CgtWoqmpbhkbxDsTPgbdeDEQW67EZagPpM90C1Wq2+4Z0eCBAYF83J7Nflb385j1T+P7NQ\/zTR1pL49EixlHPYRx91DjcFc+DVLXFjKPYc9Wrhe9SyDhXnWjXmfr0ab\/EwynXihH4U7\/W5fKRx3QjjulHASe1I47kzhpO7rhBPV94RwkjcLx58Qjj8lHGdOCsefJxzDG\/924bBhnhCOGwrnJduEzXpum32D3CvMc9HddMhCxz13J4xUT5P0uagHg59jp2Zkp4n5Sjt9JqUobT0Nr1TFkZTcaSmdsFY7teolKb1osG5ksG+TEv5Rbu6gZ+x22Y4s+KjY7NR+jdj8abGdsGM3zexLYutGn+\/qruftlBj9yLTfUYxs60fF6KbZa2xdG3PI2H+qWrGsdk0hHqp6tXiFxS+rFm88ZO97o75o9N4\/35du\/NebPMYEX2Xzz6XVG71\/pfYOBOXOENRpL+1OC+qVbvrtgupo5lFBvd5RDwTlzxCUPwWQ4QVB+fPgMdr1GwV1yrCPS86O\/crwbY\/\/T221v1R1e1Otykpge\/BNDiHd6Yjxu7wpoHEYmmipE7VY7MVKOb23MF9WTbHpwqY3xordxM4LF51Twth+E50bpA3wxLuGi\/+7rtbi+kWRPIsPh6vqLSb\/gv3DOFb87LYuFxPxRcNSJuKLgVeoQFf11URncGDo4OJYlGcZKzM79Yc8g5qqLsg7+8nW8ZOte\/nJNhx+sn\/Dk0NKDw7pi89N9eHH6resGIwYnmvMi881\/shzh+sdjdB7ccd4vQ8ZTQumAd3tz5I0Qwg5ngt7kINkWLm5I0fqMf1FIDXtcywO3ufrs2JhioseiWpebTaD0ecwPAhOqwA51y+oGx6qfagvNDxqDB4+Q1EWQTfgPQ54NUkNv5modQJDHATSZCDYm6ouytvN367\/L8hiINIs6SsHYVhcso6R9Mt6tWmuJsu23X5zcfHw8DB9sNOqvr3QWZZdfFm269VkjD8PNO0OFCO+jSZxeltu+m2Za3LaLDdYM9rswV2BfowXN+WGNyWFlwtxU4w2+Kai7kbHTcHDMzblhtlTNo0M7Lltx135NzVN7dFt0Ubzq4\/\/0p3Bd1jEzaqqFm\/YnOVgcwzzIcNvemqVHdkaR7I8vTVL2hqTaOjfxK1JM9wPzWPjxqjsnG1Z0txs4JnZ41vijluKzuK7uf\/SLfmpyNs37EU72IuEGRYJDCEqObYZ+hxDaWk3rE0BEGE3bJLgm9Q6jg7bgUdn7AcxQKsdq3iC7XWHt8ROk+zolpjgI\/79K7fktzrfNCXwzDdsTDNyLLRyFt7JnQFP4M6RZkNjZpq184Q0tZpmxzHHehNx618pzc\/MAY\/I8r+A53\/Gt15FU+Au35ft40s0\/4eiKW83Yrt8bMp5vsJiR9tpyXCkQUmIXq7taTC8XZevKvCLb+L+\/LLumYUiBd9b3KdcrRrsKp54V+b\/XKQHa0SjUOhYtahf55FykX2h1rNXZjlS7lEvlHueJ4SPDJSkpwfqgviXikcZFwEOpqx+3BT17Zm5aZLgN\/vZBBrik2D5\/PNzv1v\/VNPg\/vkL6\/engXL\/U00T9UnoaaKGWYVGxVLA6YxCw6kXdbJCAg1KL6So7BHhRCnDAs7PvLwgoX7vR0LS02BfKaQ+z\/qCnCijqoP6CjkdTLywnrvjqb1g301wewmrfRV7rfRi7uosHTOsIm\/WsWjJp3TMnpN9ZkMOBw357225Klt8efsVtqz3BN6NctSc9TFZZyhr40ey1m8yZ\/+15hxOiFq\/WitPCOmoRXv1Sjm90aL9u1t0OJGsV+8pu9NGnaWvFOCbjNp\/rVGf0LQsfYVRa3XQqjFm2FZ1+yqrNntC70Y5ZtXJUatOUdhqLGxzplWbkVWnX2vVz2XUCzt5vVmfkNJRszbpKwV1tlm7kVmn727Wx4XHb3S+m\/BO23UaXinBN9l1+rV2fUrX0vAaw7YHDfvXIl+JomnztniVads9uQ\/GOWbcPjssccDQT0Lt0yP7JuPW+qut2x6XuM9eraAnBXXUvpV+pazOtm87su+3i6uzZ3vcnpV+X3GdsmiQzCtldqZFu5FFv1FiByEx2vgJERr\/GhtPDtr4t7d1Od+t2l39Oht3e3sxGOe1tBy6QWAPwngP3JtouXZfbePJuxLzk4I67sNfK6s3+vA3iuukE09OaOw7y++00Xv3SiGeafR+bPTu\/Y3+hAi9e43RZweN\/ud8s7vJ5+2uLje3rzJ7v7cbo5GOMvej6bXUA53S433wb3Pu4asNPztB3V+fYHtBVEdN375WWm81\/fD+pp8d11v77hJ8ITY3rxTjmzj827Wus\/UTWpeZl9vCRt\/BOCysFG1erppBsaS5keuiXVZQKWp263VeP85+qh5EuywbcVPe7mqU5B180SOfvtzOvhULqgCtqnyDr\/7A9yT+ZPG1n0ZUUFX\/cVdX20I8lPC9sXQ1Fto\/iWWRt8dLRmXRTMX4nSX4ssN5XtePcaBjhSf6FsRm8IrTn7DCssnXRSNuqhV8t+lf\/\/y\/P4u8EQiM8D2q0DKM09xUdBK2ZSo+H+5fKxscsm\/rKmFs+OLI7WpH56i+NRVcJrvPVzvIG22qNpa+2qJpRV00u1XbTLH+tZ19rnb1vGi+EX\/N212dr8SPed0uxR+2u+tVOReLap2Xmz\/+Sfycb5+KjfitqOu83IjfylXRiLpYlcWN+MPnX3\/7+ZP488+\/\/fiDUVp9Ej\/+9rdf\/qb\/KP6Qt21dXu9QTnkjcNRmWSxAWDTkH\/8UZ9wVqmjqcAms68+r6jpfiV\/L5q4R365WZb6ZF+IP5Wq1a9oav9WQVgkC\/OOU63qkc4e+LrPcnvwGYNTZ\/wc=\"><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-P10\/topics\/stress-scenario-methods\/#map\" data-nxf-title=\"Private Credit live map\" data-nxf-height=\"560\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-question\" class=\"nx-section\" data-hue=\"finance\" data-variant=\"split\" aria-labelledby=\"nx-s-4\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">03<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">The question<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">Stress scenario methods: how the risk develops.<\/h2><p class=\"nx-lede\">Private-market sensitivity and uncertainty. 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\">Borrower-level stress<\/h3><p class=\"nx-p nx-mt-1\">Earnings and interest rate shocks are applied to borrowers to estimate coverage, defaults and recoveries, using portfolio data that may be partial.<\/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\">Fund liquidity stress<\/h3><p class=\"nx-p nx-mt-1\">Scenarios combine redemption requests, capital calls, margin on fund leverage and loan cash flows to test whether funds meet obligations.<\/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\"><rect x=\"16\" y=\"16\" width=\"6\" height=\"6\" rx=\"1\"\/><rect x=\"2\" y=\"16\" width=\"6\" height=\"6\" rx=\"1\"\/><rect x=\"9\" y=\"2\" width=\"6\" height=\"6\" rx=\"1\"\/><path d=\"M5 16v-3a1 1 0 0 1 1-1h12a1 1 0 0 1 1 1v3\"\/><path d=\"M12 12V8\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">System-wide interaction<\/h3><p class=\"nx-p nx-mt-1\">Exercises that include banks, insurers and funds trace how private credit stress reaches other parts of the system and markets.<\/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\">History offers little guide<\/h3><p class=\"nx-p nx-mt-1\">Few stress episodes involve today's private credit market, so scenarios lean on public credit history and judgement.<\/p><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-terms\" class=\"nx-section\" data-hue=\"finance\" data-tone=\"alt\" data-variant=\"band\" 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\">Key terms<\/span><\/div><h2 id=\"nx-s-5\" 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\">Recovery rate<\/td><td data-label=\"Definition\">The share of a defaulted loan's value that the lender eventually recovers.<\/td><\/tr><tr><td data-label=\"Term\">Rate shock<\/td><td data-label=\"Definition\">A scenario in which interest rates rise sharply, raising borrowers' interest costs.<\/td><\/tr><tr><td data-label=\"Term\">Second-round effect<\/td><td data-label=\"Definition\">A loss caused by institutions' reactions to an initial shock rather than the shock itself.<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-indicators\" class=\"nx-section\" data-hue=\"finance\" 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\">Indicators<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">What is measured, and how well.<\/h2><p class=\"nx-lede\">Each indicator carries its unit, its cadence, the kind of source behind it and the evidence label a value would carry. No values are shown: a programme supplies them under its own authority.<\/p><\/div><div class=\"nx-section-body\" data-lv=\"register\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Indicator<\/th><th scope=\"col\">Unit<\/th><th scope=\"col\">Cadence<\/th><th scope=\"col\">Source type<\/th><th scope=\"col\">Label<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Indicator\">Projected default rate under stress<\/td><td data-label=\"Unit\">percent<\/td><td data-label=\"Cadence\">per exercise<\/td><td data-label=\"Source type\">Scenario analysis<\/td><td data-label=\"Label\"><span class=\"nx-chip\">MODELLED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Projected recovery rate<\/td><td data-label=\"Unit\">percent<\/td><td data-label=\"Cadence\">per exercise<\/td><td data-label=\"Source type\">Scenario analysis<\/td><td data-label=\"Label\"><span class=\"nx-chip\">MODELLED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Interest coverage below one under rate shock<\/td><td data-label=\"Unit\">share of borrowers<\/td><td data-label=\"Cadence\">per exercise<\/td><td data-label=\"Source type\">Scenario analysis<\/td><td data-label=\"Label\"><span class=\"nx-chip\">MODELLED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Fund liquidity shortfall under stress<\/td><td data-label=\"Unit\">currency<\/td><td data-label=\"Cadence\">per exercise<\/td><td data-label=\"Source type\">Fund stress tests<\/td><td data-label=\"Label\"><span class=\"nx-chip\">MODELLED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Bank and insurer losses from private credit links<\/td><td data-label=\"Unit\">currency<\/td><td data-label=\"Cadence\">per exercise<\/td><td data-label=\"Source type\">System-wide exercises<\/td><td data-label=\"Label\"><span class=\"nx-chip\">MODELLED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Stress exercises including private credit<\/td><td data-label=\"Unit\">count by authority<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Authority publications<\/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-P10\/topics\/stress-scenario-methods\/#indicators\" data-nxf-title=\"Indicators\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-pipeline\" class=\"nx-section\" data-hue=\"finance\" data-tone=\"alt\" 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\">Canvas<\/span><\/div><h2 id=\"nx-s-7\" 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 Stress scenario methods 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-p10-topics-stress-scenario-methods-ngfs-t nx-dag-a-p10-topics-stress-scenario-methods-ngfs-d\" data-nx-z=\"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\"><title id=\"nx-dag-a-p10-topics-stress-scenario-methods-ngfs-t\">Stress scenario methods: climate scenario analysis pipeline<\/title><desc id=\"nx-dag-a-p10-topics-stress-scenario-methods-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=\"finance\" data-variant=\"band\" 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\">Sources<\/span><\/div><h2 id=\"nx-s-8\" class=\"nx-section-title\">Where the evidence comes from.<\/h2><p class=\"nx-lede\">Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.<\/p><\/div><div class=\"nx-section-body\" data-lv=\"register\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Source<\/th><th scope=\"col\">What it gives<\/th><th scope=\"col\">Licence class<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Source\">Bank of England system-wide exploratory scenario report<\/td><td data-label=\"What it gives\">System-wide stress including private markets<\/td><td data-label=\"Licence class\">Free, Bank of England terms<\/td><\/tr><tr><td data-label=\"Source\">IMF Global Financial Stability Report stress analysis<\/td><td data-label=\"What it gives\">Private credit borrower stress<\/td><td data-label=\"Licence class\">Free, IMF terms<\/td><\/tr><tr><td data-label=\"Source\">ECB Financial Stability Review scenario analysis<\/td><td data-label=\"What it gives\">Euro area private markets stress<\/td><td data-label=\"Licence class\">Free, ECB terms<\/td><\/tr><tr><td data-label=\"Source\">Rating agency default studies<\/td><td data-label=\"What it gives\">Historical default and recovery rates<\/td><td data-label=\"Licence class\">Proprietary, summaries free to read<\/td><\/tr><tr><td data-label=\"Source\">Federal Reserve Financial Stability Report<\/td><td data-label=\"What it gives\">Monitoring of leveraged lending and private credit vulnerabilities<\/td><td data-label=\"Licence class\">Public domain<\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/gra\/A-P10\/topics\/stress-scenario-methods\/#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\" 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\">Decisions<\/span><\/div><h2 id=\"nx-s-9\" class=\"nx-section-title\">Who decides, and what the evidence serves.<\/h2><p class=\"nx-lede\">Private Credit prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Who decides<\/th><th scope=\"col\">The question<\/th><th scope=\"col\">Evidence this page serves<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Who decides\">Fund managers and boards<\/td><td data-label=\"The question\">Whether portfolios and liquidity withstand severe scenarios<\/td><td data-label=\"Evidence this page serves\">Borrower and fund stress results<\/td><\/tr><tr><td data-label=\"Who decides\">Institutional investors<\/td><td data-label=\"The question\">How private credit behaves in their portfolio stress tests<\/td><td data-label=\"Evidence this page serves\">Scenario evidence and assumptions<\/td><\/tr><tr><td data-label=\"Who decides\">Supervisors and central banks<\/td><td data-label=\"The question\">Whether private credit poses system risk<\/td><td data-label=\"Evidence this page serves\">System-wide exercise findings<\/td><\/tr><tr><td data-label=\"Who decides\">Bank and insurer risk functions<\/td><td data-label=\"The question\">How to stress their private credit exposures<\/td><td data-label=\"Evidence this page serves\">Scenario methods and data<\/td><\/tr><\/tbody><\/table><\/div><h3 class=\"nx-h4 nx-mt-4\">Outputs this topic produces<\/h3><ul class=\"nx-list\"><li>Guide to stress methods for private credit<\/li><li>Method note on borrower-level rate and earnings shocks<\/li><li>Brief on fund liquidity stress testing<\/li><li>Questions for boards on scenario severity<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-core-questions\" class=\"nx-section\" data-hue=\"finance\" 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\">Core questions<\/span><\/div><h2 id=\"nx-s-10\" class=\"nx-section-title\">Shared questions the industry asks.<\/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\">What scenarios are relevant?<\/h3><p class=\"nx-p nx-mt-1\">Rate, recession, sector and refinancing scenarios suited to private credit.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">02<\/span><div><h3 class=\"nx-h4\">How do losses flow?<\/h3><p class=\"nx-p nx-mt-1\">From borrower cash flows to defaults, recoveries, valuations and vehicle outcomes.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">03<\/span><div><h3 class=\"nx-h4\">How are second-round effects captured?<\/h3><p class=\"nx-p nx-mt-1\">Redemptions, fund-level leverage and links to banks and insurers.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">04<\/span><div><h3 class=\"nx-h4\">How should uncertainty be shown?<\/h3><p class=\"nx-p nx-mt-1\">Ranges, assumptions and sensitivity rather than single estimates.<\/p><\/div><\/li><\/ol><\/div><\/div><\/section><section id=\"nx-sec-mechanisms\" class=\"nx-section\" data-hue=\"finance\" data-tone=\"alt\" data-variant=\"band\" 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\">Mechanisms<\/span><\/div><h2 id=\"nx-s-11\" class=\"nx-section-title\">How the risk arises and transmits.<\/h2><\/div><div class=\"nx-section-body\"><p class=\"nx-p\">Borrower-level stress begins with cash flows: how earnings and interest costs change under a scenario, and which borrowers breach coverage thresholds or face refinancing gaps.<\/p><p class=\"nx-p\">Recovery assumptions matter greatly. Private credit has limited public data on recoveries in severe downturns, so results are sensitive to assumptions about collateral, seniority and workout outcomes.<\/p><p class=\"nx-p\">Vehicle-level effects depend on structure: closed-end funds face different pressures from semi-liquid vehicles or leveraged funds. Scenarios need to reflect these differences.<\/p><p class=\"nx-p\">System-level effects require network data on links to banks, insurers and pensions. Without it, second-round effects are estimated with wide uncertainty.<\/p><p class=\"nx-p\">Because history is short, reverse stress testing and expert judgement play a larger role, asking what conditions would produce severe outcomes rather than relying only on past episodes.<\/p><p class=\"nx-p\">Communicating results honestly is part of the method. Ranges, stated assumptions and sensitivity to key inputs tell readers far more than a single loss estimate that hides its uncertainty.<\/p><\/div><\/div><\/section><section id=\"nx-sec-methods-and-limits\" class=\"nx-section\" data-hue=\"finance\" 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\">Methods and limits<\/span><\/div><h2 id=\"nx-s-12\" class=\"nx-section-title\">How evidence is gathered, and where it stops.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Method or data<\/th><th scope=\"col\">What it shows<\/th><th scope=\"col\">Its limit<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Method or data\">Borrower cash-flow stress<\/td><td data-label=\"What it shows\">Coverage and default under scenarios<\/td><td data-label=\"Its limit\">Depends on earnings assumptions<\/td><\/tr><tr><td data-label=\"Method or data\">Recovery analysis<\/td><td data-label=\"What it shows\">Loss severity<\/td><td data-label=\"Its limit\">Limited downturn data<\/td><\/tr><tr><td data-label=\"Method or data\">Vehicle simulation<\/td><td data-label=\"What it shows\">Liquidity and leverage effects<\/td><td data-label=\"Its limit\">Behavioural assumptions<\/td><\/tr><tr><td data-label=\"Method or data\">Reverse stress testing<\/td><td data-label=\"What it shows\">Conditions for severe outcomes<\/td><td data-label=\"Its limit\">Judgement-based<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-methods\" class=\"nx-section\" data-hue=\"finance\" data-tone=\"alt\" 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<\/span><\/div><h2 id=\"nx-s-13\" class=\"nx-section-title\">How it is studied, and what the methods cannot say.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-methods\" data-limits=\"true\"><ol class=\"nx-mledger\" aria-label=\"Methods\"><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskalliance.com\/private-credit\/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\">Rate and earnings shocks \u00b7 Fund liquidity scenarios \u00b7 System-wide exercises<\/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\/private-credit\/stem\/financial-engineering\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">02<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Financial and risk engineering<\/span><span class=\"nx-mledger-role\">Loan valuation models \u00b7 Fund leverage structures \u00b7 Synthetic risk transfer<\/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\/engineering\/financial-engineering\/\" aria-label=\"Financial and risk engineering: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskalliance.com\/private-credit\/stem\/network-science\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">03<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Network science and contagion<\/span><span class=\"nx-mledger-role\">Shared loan networks \u00b7 Funding dependencies \u00b7 Stress propagation<\/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\/network-science\/\" aria-label=\"Network science and contagion: 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\/private-credit\/stem\/financial-economics\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">04<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Financial economics and macro-finance<\/span><span class=\"nx-mledger-role\">Bank to nonbank substitution \u00b7 Sponsor and lender incentives \u00b7 Liquidity mismatch<\/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><\/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\">Stress results depend heavily on assumptions about defaults, recoveries and behaviour, with limited history to calibrate them. Borrower data are partial. Results are conditional, not forecasts. Private Credit explains methods; it does not run stress tests for any fund or predict defaults.<\/p><\/aside><\/div><\/div><\/div><\/section><section id=\"nx-s-14-sec\" class=\"nx-section\" data-hue=\"finance\" 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\">Questions<\/span><\/div><h2 id=\"nx-s-14\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>Why is private credit hard to stress test?<\/summary><div class=\"nx-answer\">Because data are partial, valuations are model-based and the market has little history of severe downturns in its current form.<\/div><\/details><details><summary>What is a system-wide exploratory scenario?<\/summary><div class=\"nx-answer\">An exercise run by the Bank of England in which banks and nonbanks responded to a common stress, revealing how their actions interact.<\/div><\/details><details><summary>Are recovery rates in private credit higher?<\/summary><div class=\"nx-answer\">Some studies report higher recoveries due to senior positions and control rights; others caution that looser terms and data limits make this uncertain.<\/div><\/details><details><summary>Are GRA scenarios supervisory stress tests?<\/summary><div class=\"nx-answer\">No. They are research scenarios and set no requirement.<\/div><\/details><details><summary>Why are recoveries so important?<\/summary><div class=\"nx-answer\">Because loss severity drives total losses, and private credit has little recovery data from severe downturns.<\/div><\/details><details><summary>Where are scenarios published?<\/summary><div class=\"nx-answer\">On <a class=\"nx-link\" href=\"https:\/\/globalriskalliance.com\/private-credit\/tools\/scenarios\/\">published scenarios<\/a>, once reviewed, with their assumptions and limits.<\/div><\/details><\/div><\/div><\/div><\/section><section class=\"nx-section\" data-tone=\"alt\" aria-labelledby=\"nx-rel-15\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Related<\/span><h2 id=\"nx-rel-15\" class=\"nx-h3 nx-mt-2\">Around Private Credit.<\/h2><nav class=\"nx-related nx-mt-3\" aria-label=\"Related\"><a href=\"https:\/\/globalriskalliance.com\/private-credit\/topics\/direct-lending\/\">Direct lending <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\/private-credit\/topics\/leverage-and-refinancing\/\">Leverage and refinancing <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\/private-credit\/topics\/valuation-and-data-gaps\/\">Valuation and data gaps <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\/private-credit\/topics\/liquidity-and-redemptions\/\">Liquidity and redemptions <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\/private-credit\/topics\/bank-nonbank-connections\/\">Bank nonbank connections <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\/private-credit\/topics\/insurance-and-private-credit\/\">Insurance and private credit <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\/private-credit\/\">Private Credit 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\/private-credit\/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-16\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Private Credit<\/span><h2 id=\"nx-close-16\" 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=Private%20Credit%3A%20Stress%20scenario%20methods\">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\/private-credit\/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\/private-credit\/topics\/stress-scenario-methods\/#faq\",\"isPartOf\":{\"@id\":\"https:\/\/globalriskalliance.com\/private-credit\/topics\/stress-scenario-methods\/#webpage\"},\"inLanguage\":\"en\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"Why is private credit hard to stress test?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Because data are partial, valuations are model-based and the market has little history of severe downturns in its current form.\"}},{\"@type\":\"Question\",\"name\":\"What is a system-wide exploratory scenario?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"An exercise run by the Bank of England in which banks and nonbanks responded to a common stress, revealing how their actions interact.\"}},{\"@type\":\"Question\",\"name\":\"Are recovery rates in private credit higher?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Some studies report higher recoveries due to senior positions and control rights; others caution that looser terms and data limits make this uncertain.\"}},{\"@type\":\"Question\",\"name\":\"Are GRA scenarios supervisory stress tests?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"No. They are research scenarios and set no requirement.\"}},{\"@type\":\"Question\",\"name\":\"Why are recoveries so important?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Because loss severity drives total losses, and private credit has little recovery data from severe downturns.\"}},{\"@type\":\"Question\",\"name\":\"Where are scenarios published?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"On published scenarios , once reviewed, with their assumptions and limits.\"}}]},{\"@type\":\"DefinedTermSet\",\"@id\":\"https:\/\/globalriskalliance.com\/private-credit\/topics\/stress-scenario-methods\/#terms\",\"name\":\"Key terms: Stress scenario methods\",\"inLanguage\":\"en\",\"isPartOf\":{\"@id\":\"https:\/\/globalriskalliance.com\/private-credit\/topics\/stress-scenario-methods\/#webpage\"},\"hasDefinedTerm\":[{\"@type\":\"DefinedTerm\",\"name\":\"Recovery rate\",\"description\":\"The share of a defaulted loan's value that the lender eventually recovers.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/globalriskalliance.com\/private-credit\/topics\/stress-scenario-methods\/#terms\"}},{\"@type\":\"DefinedTerm\",\"name\":\"Rate shock\",\"description\":\"A scenario in which interest rates rise sharply, raising borrowers' interest costs.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/globalriskalliance.com\/private-credit\/topics\/stress-scenario-methods\/#terms\"}},{\"@type\":\"DefinedTerm\",\"name\":\"Second-round effect\",\"description\":\"A loss caused by institutions' reactions to an initial shock rather than the shock itself.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/globalriskalliance.com\/private-credit\/topics\/stress-scenario-methods\/#terms\"}}]}]}<\/script>\n\n<!-- nx-rev:f67548a0d1e9a320 -->\n<!-- nx-path:\/topics\/stress-scenario-methods\/ -->","protected":false},"excerpt":{"rendered":"<p>LightDarkAuto A-P10 \u00b7 TOPIC \u00b7 stress-scenario-methodsGRA dossier \u00b7 service level R0 GRA\u00b7Private Credit\u00b7In development Topic dossier \u00b7 Private Credit Stress scenario methods Private credit has grown mostly in a period &hellip; <a href=\"https:\/\/globalriskalliance.com\/private-credit\/topics\/stress-scenario-methods\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Stress scenario methods&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":28,"menu_order":903,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","meta":{"_buddyx_sub_header_visibility":"","_buddyx_sub_header_title_visibility":"","_hide_show_side_panel":"","_buddyxpro_page_sidebar":"","_buddyxpro_page_disable_header":"","_buddyxpro_page_disable_footer":"","_buddyxpro_page_content_width":"","_buddyxpro_page_header_style":"","_buddyxpro_page_color_mode":"","_buddyxpro_page_loader":"","footnotes":""},"class_list":["post-51","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/globalriskalliance.com\/private-credit\/wp-json\/wp\/v2\/pages\/51","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/globalriskalliance.com\/private-credit\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/globalriskalliance.com\/private-credit\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/globalriskalliance.com\/private-credit\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/globalriskalliance.com\/private-credit\/wp-json\/wp\/v2\/comments?post=51"}],"version-history":[{"count":1,"href":"https:\/\/globalriskalliance.com\/private-credit\/wp-json\/wp\/v2\/pages\/51\/revisions"}],"predecessor-version":[{"id":92,"href":"https:\/\/globalriskalliance.com\/private-credit\/wp-json\/wp\/v2\/pages\/51\/revisions\/92"}],"up":[{"embeddable":true,"href":"https:\/\/globalriskalliance.com\/private-credit\/wp-json\/wp\/v2\/pages\/28"}],"wp:attachment":[{"href":"https:\/\/globalriskalliance.com\/private-credit\/wp-json\/wp\/v2\/media?parent=51"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}