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I8KVmKaYl6sd9OO9sCp5kXYSaskD1zZDZZzOB\/MWbuf8uag8DcaGTmr+qGY5yAmoGIHvboA0aL6UiHvqP46gjzVlLYuQ8VWn6bMmoOwC71yGT9qnspunNqs070y4kv1E+wgEMIuEYkVMh8eBJtFYF+tcl9aGYPtSwU0xkxZ7tsC9HUqByzPWQo7hr99TCzbj2a0zuG7fzdXUJKVUDKkCb\/HfkQFZE3QHiR9QV42lcGK25oljzSeAps+T+M5Q4MUtXmi74qdwhcKbmIEq9cRzDzMuVQy2fWDgBefcpvexDaqN\/PhoXrTbBks2joH31fNnlHpuI1bGaCAbXxHFaSQN40LB\/hV1IRMVs9A7hhScS6vuKAUARPDhDWXlSBhgwmbUSZvIMF3xUY8rZPPZUUZ46x3sqo6Z6J0Lp\/sZlb115nAQ+cVD51XPHQub3RuTylLZKZdqsRkO2BWisKMgqQl5Ds5oB9kTrpFZA9vYUZavNtyxqwKteJbpOTWglUV+kmV1JtnMP33VkjQgIh\/AHjKsjxOmVjxnH439zfd73fb494aqU0QNlozxhp\/1p3\/k9s4BLZgUeygrcwV\/+RFdsfcL8dtGW1BWBUvceH2UPG4ASb7oBB8DOM49\/xodh1Z04A5nAYw2UmtJWoM4kvZJi9BQXgJ2sFLeaWO6k94Wyt9tKEEVkQO7OjqRWTkA7F7qMHhoXHl8fDmrIsWsL\/0h\/dnZWhpt2ddFk90+tM7UPW9NGIWxFMruETDsHx20q6CpvYdILXcbY2fJ+00Jz\/vVgVIr+YS7VOPu4zJu3WcdevgBTleYVaAozebgidVCC75Fulk77aG52hPrf+3VSMgY\/TFBp5WtwJShf4v35FzIEwp+1awLL+M\/BDMq9FrsIiIBWstjI5sRX6IdIO\/itL3C\/LzwV+eNFJnthWAgTpk9JfJLztAvxroEubOR3GRU4HDmr9Wxrv1viJw5qT1LRv\/cve5Z790CW5jtPtF5oZrvl86No6IvgGxkYCCSYLaPoQ2nvr9yBy1yRLIGcCduIKZ0A8yiOJiIJEpvWOiqiqHCdg2OurXdJBIetMDLiH4rhgyaRuyrksbFacXVJ18FCXZ9VfMEadEkbTupyqBXDUPBRjdmknbNauOd7g2iPKW0PGV8FmFlzt83PxoHpuCjIFWMQetL5JXZA3WBa7hRfKGqMQB9fCfOA4fHs64Jpf+iJfowEmgQ20rGePSNGeMU\/pGhA+dKxyoYW8G0W5r5B40gUPI2+iMiduVNgXjtxhwq8E9WWtTQzVHYsINB\/dkU3YatXFonGM9raXXJ+dAkVmU\/zUKZBBBSZ3w9yiQ8zjpMP5PrHeo4MiJb88n\/IHD\/FBZmJsSG9ZTxyaR7PjhUNCEYST7jiYIlRXjanLV5FxVOVcUBYLkGaVTnNtI2loyqhwi1kOgDiKEViJU7LHJho2Ff6pcv2IFEVYUQEW5n1zmYkAieJPKpgLfYZ\/8BPTr+li1SLM4pdFESGIfZUhNENohfkVkXxuRXGXfOCbFGUAP0QXoXXc858pK8iKFBdaASpV\/50baVibJD9N\/mZ3Lc7bOxGskakElXFNKVWl7SbeJhvUT2wq17UrLcPlm8rokoKpW3hRcF22LjutZuDYCQzFBAYI31TR1qNKPbE\/DPe2tkzhHg8FoWlsNRlO0nmy0TN6Q0Hc0AwGGUzSwjIkIQMMppx9m1Q0gRd0d962zLDmCfFfsI+4RIgMYxWXd9ce4uZSx5zityaPBwhATHOwG31QTTq46o8Rthfo77idU4nV+oPVGvJRD34E8\/gJZsN8tJl7Km8H9YWvCUkjdj92tXOlsoNgD7fiC27iumO\/mT0hNvuB+rlvi2\/oTEJSatuAS7hB2tAIr5uhSRttODp8q\/1TNniTtssofr7L6XhxJ20u0alTi1a5zA7IrJ7VmzTEozgIvUmt39ZAuZdsK5dXIZYe\/4Uh4wnqUQ0JnAEALiiCQcCQ1i8JNWU\/4p3XCQO3N48L2GlescsPET0yEwZIAl2HUoXX3u4uKJPRyUvWV7wTdYQHL2UF\/aQGK+uupXT4KbDPsdFw5AOzFDqLlWUPbe51EXRLoTIY8XZwixZq2FEv\/3shr8hSRaYc8cdHFDnx7fh0m+Rok2vZL7LG3VzVfvJS2NeY72e9ZRQufiZFs52nwlq0fHiI5ZLn1lq2lBvmRnKQg7uavmGsVQS7WqhDfwcDfZIcFufU3nCPIRyeaeggP0qKibfXDIwqA5TPPd\/O3bD2BomeaKp\/tLf2lUzqCSSMJPVUOZ1z0CwB\/Q+HhAV+oIG0zJqryCamlnwaFCDCqIb9WkIdPwyo17Js4BBdBxsTbHZDLNI2Xt2DBwWxOlUcJp8ucbpb7ityjhadTZvjjMn8m3QIcfJR8p8CreBk9LjLsF3l6wsuFbDnONaTd+lnOIpaKNS90oGrylaGjxFNAsIEE8u37QEUikPvvg9hWZLNAIF2z8P69\/XO797uNBcyCXr96oktLj0FX3jOyTaws8xesYrv7wZ1pgDtVIB+eqHDO1hyZXxjfYlO2q25cBkFHmbDs\/H+psInjcATaRKspvOztE7tIUxbln6x0xjCaZRcZvCqh3URYpR\/VO+j0iV2BYHGRt\/tnB7LaJ2VtLPwIxsKP7HzaGGU\/orVwyoyPzNyDkgpjLxk\/7HizFyFCg5DQSgrfFFrX+Gto8Jqdv2kavMYG3zDjmpk9fQUbWDFauejcMzAKf5hmLF2wdALnCP2k7sk7nIlx9lzpbL4rrpi0XTE55uDiQioRai+nDXxYaLXDUdFyx+0n7QNJGajUms9IynKPhaxrb69djrymC8QN1p\/iHVt+zaGqU6FWpagUCbLRkoeHRp4BIW8sn0hg4nf9\/GW8euqMCcqiQwDByo0j+BybtYLTSB0oZyUIeN9NVSG1lbmas7Xu8V3npHAzEIOHB1U+liTSOdXrgty3IPVA+6LqWusJq2SjdUp\/kfixRh\/LfB2TJJr1TqRAvPflPH4ZxNN2PQTSFv6UtWSP3xX7JeAZGme9ym9ahflO2nISt6O53kn6HVXKdlk5fmbHUYR6XLmoiNyPCfT34Lo0+ntwLZn+HlSPeO4FbOjnkxC7JHMvUI9q1vs+oooedchMVFGZyNxfSYfO+K7oQzAei\/L3sQOnDZ2vnjOoL5VPsRfc0LWc1GW5FcOtz+qCklSGyt664noqyNZRZWqIKlNDJG9Qosad3pX2\/moiRrgj8c84Uy5+7DaZc\/NB360lBZoDfpgQPqYQRhVSUIV4XJfgkVo\/6\/T4Mx6YTs8Dc9FhdOvq4PSaOk9aOfwnPA2uG18E9iRE44uweOyL4A9sSH\/si8AGdkdmDZsuurKVJczOyQ31yRX1D69hy19dMGl7RZl+Q9ngutLvgGb5o5uKWrHRFbwttRviaVedSV+K0raojmG8RmDP+we9Nh702tzFJt852fAJ7Bpus81JKEok7fR9VWkQBTSz36a27OoUoEPhYG++Mx+V1em6sTrdcKvTdWN1utmxOt221UIL5Iq63PDEH+IN8LEb4ERgxm048FVrLULbErnq6F61fnVNrrh+9V3zkd41C7Udm4vSzxVpPav\/P4ZS6ZGPxlKWzo8k71vcRD8QdOffBQKyf8dJ2uV\/JSStRUlf9USkS7BC1AKSI5Xrn5OPlq14VIlGq32SUUulsNk+877mzHvxiHnfSNtr8aZl3vj9Hebttcy7eIJ5F1JZD7bHtp2fYMc4cT\/BZ+c\/gqumz3fFRY+7LZ7ibosfcreKh6G99zEbk7Zd9nSzw576TgQLqkCsacWtR2N9ce42\/gR0QRaNj05KXWNhEh8eQ9UkjLpGbpICHkNu9fIv4meUFhcxD+w7F9kolQZiPPKlQ7EY+dIQDgLpM6dsnL6dtqN\/9OIcLTmqAq57EdJuHdK+m5p3AnVdiaQ4QohvT89dPa0dI3waQxivlRupSSw5iGZGakq6Y6QmhfARfcHfVLOKszVarxYg98X5qV7UlXlYGThCGSnEOReDMVTaS0BvpsqTB6JFCEaHlNA+ZS3LcchaWxCPrbScJFbecdiyeVtrmhu2ScKuW1VYe0etUZtAWb7u7JKO9eW5OtaXOIFh7S+1NpYAuoR+lWHPcbt1DHP9qBM7beNh9pbXOlLJioaDsGkoo4qenbt6VmPlljpGZo5sMqcLeFmTO3o7uB3OB3OUs89X\/LCIYcW5kZlS691WruidvqRZsz6W1fHfJaPbV+N77TO5v9YiRqbrnGXajBGH2ffoihbj+xULgkx7zYjjz\/w80\/5kZB5qbxlJo5n2DyN2YIWJZjGSFaH2OyOhNWd3afyv9o4R9q2wgmsrzT0IPIWabiBCTvuDkSS\/ie7A0+2Gkci32dtQu2OlvusDblHDECBKB2IOX+PTJIbgMQwyfAMP+AYaLhDham0HccTw4gxMd\/0UiO0XP3DwFWGryMQv8DzI8pRlGWaE1gqS4zTLD2L3wAXKYPJlG0M37uPYzeNEIEcKEeI5lvmYp4zlAlFP2rS7OMvtGMId1bGiVLGUkHEb21bg52uBnLIjHlxp1kGEhiH8Ccf5B8cCUcgxgB8f5PHBiUCOySl8nh5YkXMA\/Fkgp+TFC7Pji+aIOUlxFaRgzICRPAq37jqd57K3kRpThg9iVxs97eOVBK5oGb4Jl0lQ2savQkHDN5vVpHSCD8Wce+Jz2oZ0oq4yrarML6hrpCa6RMHnOX6BK1VVX1p2ql4yQ7CyjOWjGYsRoybdhrHT9e7La1raBoPz4eQyFs16o0qHtE43fFNe1PQi03JyqdVZJI9zLQUeyVI0hTWNkW5QsuxZm4eHenUWPATFa0JQfBwihGUF7RvIOzBD2JAAomgVyslzfadS2jqg3qIKwLbrSNMGVs6SwM9FYSRIukfr2FIbLRPNh2o2IcHrLvUNqaKH57l8WWMorAnOkubypRGaZEW9iSMuCYNAViC2k4W4lBf8SzW5jRBPxtBKJG3XnC6HUlnmYKujW2+jMZKxQCsoRdRMFK0gIB8yRyue8TTi+kGueWTOWKKty5IsfLbMtC2QDz9fPzEBjzhJc+tLh6EoxO4sjTVV9HV3zOt6YcqXxtqUv1FKC2nrDeGClCGtUhdlWbuOzjXhmzAsKh\/T2Chgh5CFZhNbM3joMgYx86jlE8E0CpMswDVN84bCQbW+DoRh6yZgE\/S+LCI\/z4SycawFgKmVZuI2skKmCRUuBLKEOzniZaYx4moKvL7R1FMysxJNHZNQM46B7pDxMXl+ZhJr5We32FnhsxUUjFQNkdzPA6YJd3Gau3HgxwcLyD6Yrg+qzXaAcc8HAVuwAPpFQitP\/dWerYdTLXsb4kOIDiMF4ptftnLKL1vxOf4MQyGKSTp\/TU6GOHBnYlg7hTAL4HppnIwc0SOpZBoL0ZMXEuAeZmpfjmoOqScvyvq6m0c9ggS+bI74erFbzdkmvsFg6rgbdCUu4ChhpU5ORu0H9EGAQ3S9M3HAn+qJ42gTSLDUnh8Tm\/\/1tCOF5HGijY\/5ZBon5JgckTFRiWLKoZWIj69agdWXCsOwWn3CRztO2YEwDMsS4vaCTHN3SpJlt6wtDJdV2dBQTCgFO7MzMKh+Z2ia3UtSTe7oUy2fS1zQsGo8a2OlzkGGfQJOVa0nvC7AZkGHZmO3eIiob4QmCFAZBnpMGkvLCVGHnQjdY\/nFixcDADm0JUlTyC09GYW15mRrYFud3F7Q44ngCcNMEzL8y+8qAGsPh8B4COHgP6uXz3tbECoG3x1BIHO21gRvoQnD26EwAoT50VzLsGp+eUE9\/qSdgNuhQKrxCkPXWMLClPP4Nl6Cm0TGRGkoPHBUPQhD3osH3I4Pe7rREgN0S8\/BdfBHu27niiOeB+T00X4qaJtpMJPw\/VWYxKZ8D5F1h2CGVNXD8xPOG9BFy9sYoXmBz7Upbdc0LEu\/po6APKRxGhBJG0XHbaRtc82TI5KFVhBonpwDuoShJ89LsoDMFgWevCCKRLKFBpuXfIPc2PDkb0hnEz8I6s+xyaG+lSTDOjhvtLGwXZKptp1aqWYfnhBbs\/nSOBbgbTyBmyU0uHICAjy2uWYZa9jqVQeFrJrWapA4DZ3NjRNS725O0YV6S+IkH6RsBjprerD0c2+HnsLW4HtFgD1bhFGmGRxzUb8aoSQ8fdGk45oRSFSE3B+lAvjWALyDNpqCbb9wpT4uOG0ABALYwuBrCGKojv8qsGUDxqXjqv+lyWmXD8vUj2Da93NqWGF81WUsAA232ec+OTpVJOLR8Rg4dQFGQuodjkenJKSycnZCllQQyErnmlFT\/WVtiBSEZq3eUEW\/OW84yA3qaddDKt5MhFtBE94JUpftDi+NG3MQElWSU5YEls3EQ3I4IxAcAdcKtKDr0aVxM1SfAK6XxvVQ+Efg91+sKJOjaW0CUPXVBVX01WgkbZdDCvWyQBRAKxXIlpshQkETPLaCO1HwG04BtNUESI3GbUXE0TIRqjVWJph0uGbYILIYyKckNhhsDeippHeasv3UhqteOo0VkV23Na8\/7RXIMWttTdLOlrzdO2huPZtTeygyvA1nxNBXp3MLEkNfnkHnGkRpoKrq0VgZhOSOrkdYUuElIQxXVZWT58eDsNt10LJ7HQ+YhRfNrFTNhjDKNVmNO72d7+stWXdB7p4Y0PcR5sR5jTBb0PhlOV2EHcsnJV9fP1cB3shjr37YdXv9o66TVDvqd\/8R0kAKRJSpY0CXOh6eKDALa1XzRuoY8APPzgCAafaqyPFUaQU1rAH4rCTCiaIchEKv6UflojhnUK4YqQoveUwQamRFtheD\/yGLHKEkwp+RzdLc8qN8rR0Iw2oxP+aknJC2RjtoOlvMxIJ4ZEm2\/NwF6ZWgCZ88xqXuX7OaEDsHaEckB36eHQCPQpqce+wg81cHEZyBTOMCuAnmZvWsufMRXsGJk4f0GU6ULTvP9nLnHsnzQcHnVJ2kcsQZYCrnoNiDXYQcpCyLgwI16TOA8R1uS\/CjHOwA2E+I+gEy3i6IVI5dl8sMIdoYOAMgsZFy5EFL1jQu8p7AU2XX4kYomLsSxElfbrdAHlZNAgIH3DoogIXkRDB7jNEJ4ByxJPPEz74vsHQP2pSdOxE7SoBdCy1rxCea6xxxTVI0\/oYXcPeAP6RreYEO1vK3c\/ApZTylwMcg1HnWBeVxN7wUaHiNqaFiv57f57MHVl6Js8cHcQqWGBTxOtvRB1kFZDVNiN0egnM5j\/OuLEdgH2gWCtHds4Rle9trZWspJUMBXNfMd4bmhV7HmoWcx2jAYjl0cIrBTo97yX6+l3WbIbOifpsjHizIKgn\/cSvFIa9t3GnrpKkwZYu+cJNB31MGiv7jurydHrdLgqMRbh1Ls65EZR14\/syr+5blVs40byJEzAICE8+rNK6IT4R73rAmvIc7rUqzJHHxE9u4VjiErJhqnAZo3d08FA5EdMX1IALPCiQBj7VG8ULoaVmvcREwRzuoRc0dpaurTfSUr330UD64zmwrYQd4HJrJgiZ89Fc5Y9FBtzON8QEOtRxQ2RZcmhRQiKsE2VqOfqRBwMaOI34GvyPmEVYZuHaMWxDyV+X4TmXqaZWQS6MxffmOZEJYEjj7wAVEIOsXKE6Q09r7CkPLuaMACa2k1wVp20ZQ8AuoqpjbI\/lk2LlnU15Ig7F8WskoeIOEfNq5iLOQNyLcxVlNc+X5rKnHpB8azEhBvNoo15C1NcVVMkkfG\/om1VDT2nKnjVRtpJIQrIhxPsG\/TxWBrLbIEm+LrijmCuTKPdreCgjn0uhoeivTRJeGkgvSsKN6pgK4V6emRH+X0k4kczcXZu5vU16M4OV3sI61hyS3VNFvzxub621Nv+c0M25NcofTPjfJJS3kO\/GOz\/QdFxzJNfXFO1JI5IaCpGPDifKcUromX\/EZosj5msbGHWdehyo7GhQ8oofXhXzhNbiEM3nKZn5UncQw2Upt8RLd32FVvSbVBWB3N3BncjdIzuMXmolcQJOVkzq7jma\/9SP2ygKmeESOzN0wsJ3ix1IvIExtA8Ie1QaR+L2guKUxN+EykzEE0H1vNNdPj+YGIpQ8A6wiN6bmydm4O5q2Y1eTsXysfYWbzXYGdDXxZMu2ta8TD6JtNa+6Ka43kF4sHx7yT2CxaV\/5A\/fVxVge8887eXFBn0tbuAFqygLxTs4JjGZ4PTzGEQ2PyRYjnTUeR06AZIHkyZmQdjU5VRTtRFEIjwPmyE5SX7uanChQfwmEAs3MT+zakUrWVGUv\/o\/mcPlOXPJVu6xWbUZ9cUk8aXhEbqnIuJvfoH4ZigX36hvUL4Cd23OaDTIkjbfnazCi3Oo2GFJAjLHP2zvc8TyabyAuANUcyPHDyvYgwLXMNtqjttwoN6850lzOK+OiUVsOOtoGWloazt+THedcdsQDLmBQUNlj0eWu6eYdF11qSlhLMH1GRSrOAopODSlJplmx9DePWJVQ8n9S94acX3YO3619TsCZK0gPD4JAFvQzE4VoxUazYJS5cIkkHGwv4d5H9DRacGeUPTWMUGAQiOBaQTDF2+\/1NlTxWf7fFuxf6v\/f1MIlk50fB1j6aY2Z6hrBXMajMnFBLisfbMYPW5qTKu64wPdDN3gkl\/H8Be7FkHaOTuzewUm7FmbSNsVS4qx1aH\/X4RlYozEzRZ+kMo6NvAP\/LKmURBssiX0vM0SxDIpE70cVZpQndmpJ2y6+o4r+7nxWd\/FdvYHfU+vJIFboFxXmia\/9OpwZ70zAwPBXdEH3XfE9DCtlGGf9HjfPPPFfxs5aBFiJbPEahtpXHuYX68gSK61uD3jzw7YReG\/rbzqtv8HWEbbTBtnaRaq131dFWkr84hZMhK3V\/WUIOS5yEUYbaULTIGlAezE3y2YaQDZ+NA2Q+MQ0HPjRwQwLV6sqSeM8ztcJgx+X+LCM7tI4YWm+lm0rCMQZeSfVfXuHnen1YyXOqiM6fhwrbeu3XvMloMpNWeaJM7xtBJ23BG5C46FaocgdrrCyOLryrGiG1dXvUCHOIgMBgjtk4X2KchyJgo0wnYANabtqUsGAxMG4a1sHrO5+LT3zFvk7tEhmhPvq\/vwIe2PZ6WzdD4+7CuzpxhsehN689jrxRG12GmfZ3tquIKfCIry2tTWFrSfwcVkj47KLibKaIT\/yMRuemGv9H7GEZG7rFKmmkN5GbbDHhWHraf9iQaouLNV7jpJ8X4RWUr+mVobXrHQCAZ+1ewbc8xi9ndyKKcnIguTEl7S60OQvhsn1Ny5CSfuN1cAoqGNi5ZnX3ghRwHCTaEa7yGWQIs54mDdg9x30s3pBRDKp\/BHbSZnlrIXacxBq5Wj4eXZVdj1F+eER+B\/yq6iYtJ2LnUBABq4Q\/K7pOEOZ8uea8x24qaDyaKo98epmr3mzl1zq7HLeD9ErFsL1EfUMXdLai0GMrIU\/s\/I4lSv3Rj+OkBXirR9wx19Tak+NcD7ksUj8zs8EfcwLx4+l7Z5E0SIWT3BB3+46IHKL\/83jxWrUOAF2P8KYIXK1C9aJLULssQTAvoLxrb1D9ylpJERnphnfLu++XzXAdqOW3lNFf3\/+rubJ74EnvzPem\/t85RNwxYKb6RFgr1zH+wIOKLMJPxfRBJx14ec2\/iMCl8osBBcaPkb0LtJm3esHfq\/oFVCYOLkLrDXwqvpdlMqvrd+A0v6GxVVz+kNm0q6IctUTUSC6mVL6VdpeISN\/jJgq6g2cS3LW3A+A0I+8WnsFOO8Cng+moWgEXnOVGP51qEp8Rt\/TK+PrU\/hGSw7K0m\/gmPl97XKkC3DPeHpt2V671uGKC6jxXwoXXXBAymPx\/u2Fs0MC\/DIR\/ExF5AjS9g23M\/+LOjxYSXJ8Jwq\/GbiK6WzT\/ey99V6sTCRQlSRN4KF1k6qyFUN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type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-mount\" 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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-ntsn75c8.nxe :where(*,*::before,*::after){box-sizing:inherit}#nxe-ntsn75c8.nxe :where(section,header,footer,nav,aside){display:block;margin:0 0 32px}#nxe-ntsn75c8.nxe :where(h1,h2,h3,h4){line-height:1.2;margin:24px 0 12px;font-weight:600}#nxe-ntsn75c8.nxe :where(p,ul,ol,dl,table,figure,details){margin:0 0 16px}#nxe-ntsn75c8.nxe :where(ul,ol){padding-left:20px}#nxe-ntsn75c8.nxe a{color:inherit;text-decoration:underline;text-underline-offset:2px}#nxe-ntsn75c8.nxe table{border-collapse:collapse;width:100%;display:block;overflow-x:auto}#nxe-ntsn75c8.nxe :where(th,td){padding:6px 8px;text-align:left;vertical-align:top;border-bottom:1px solid;border-color:inherit}#nxe-ntsn75c8.nxe svg{display:none}#nxe-ntsn75c8.nxe svg.nx-i{display:inline-block;width:18px;height:18px;vertical-align:-3px}#nxe-ntsn75c8.nxe :where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-ntsn75c8.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>A01 \u00b7 TOPIC \u00b7 underwriting-and-pricing-ris<\/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\">Insurance Nexus<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">Established<\/span><\/div><div class=\"nx-accent-row\"><span class=\"nx-accent-rule\" aria-hidden=\"true\"><\/span><span>Topic dossier \u00b7 Insurance Nexus<\/span><\/div><h1 id=\"nx-title-1\" class=\"nx-hero-title\">Underwriting and pricing risk<\/h1><p class=\"nx-tagline\">Underwriting decides which risks an insurer accepts and on what terms; pricing sets the premium that should cover expected losses, expenses, the cost of capital and uncertainty. Both depend on risk factors that predict loss, on data that is often incomplete, and on boundaries set by law and professional standards on what may be used. This page sets out how pricing risk arises, how it is measured, and who holds the decisions.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/globalriskalliance.com\/insurance-nexus\/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\/insurance-nexus\/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\">A01 \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\">4<\/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\">7<\/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\">6<\/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 Established \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>Assets on the grid, and the\u2026<\/a><a href=\"#nx-sec-question\"><span>03<\/span>Underwriting and pricing risk: how\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\">Underwriting and pricing risk is the risk that the terms and premiums an insurer accepts do not cover the losses, expenses and cost of capital that follow. It arises from rating factors that predict loss imperfectly, incomplete or drifting data, market pressure on price and limits that law and professional standards set on what may be used.<\/p><\/div><\/div><\/section><section id=\"nx-sec-field\" class=\"nx-section\" data-hue=\"climate\" 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\">Assets on the grid, and the portfolio they make.<\/h2><p class=\"nx-lede\">Where a portfolio's assets sit, and how much of its value is most exposed. Hypothetical assets, not an assessment.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><figure class=\"nx-fk nx-sf\" data-fk=\"asset-geocode\" data-gl=\"sf:asset-geocode\" data-sf=\"asset-geocode\" data-sx-credit=\"Natural Earth (public domain) | hypothetical assets and design scores\" data-sx-src=\"Natural Earth ~ public domain ~ https:\/\/www.naturalearthdata.com\/ | Design scenario values by the Global Risks Alliance ~ illustrative, not data\" data-sf-learn-views=\"quality\" aria-label=\"Interactive map: sixteen hypothetical assets at real towns, coloured by a design hazard score. The panel chooses a hazard or an asset.\" 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\"><figcaption class=\"nx-fk-cap\"><span>Sixteen assets at real towns, and the share of portfolio value in the most exposed places.<\/span><span data-honesty=\"true\">Hypothetical assets and design scores, not advice.<\/span><\/figcaption><\/figure><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"map\" data-nxf-kind=\"map\" data-nxf-resource=\"nexus:\/\/gra\/A01\/topics\/underwriting-and-pricing-risk\/#map\" data-nxf-title=\"Insurance Nexus live map\" data-nxf-height=\"560\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-question\" class=\"nx-section\" data-hue=\"health\" 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\">Underwriting and pricing risk: how the risk develops.<\/h2><p class=\"nx-lede\">Risk factors, data limits and role boundaries. 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=\"M14 2v4a2 2 0 0 0 2 2h4\"\/><path d=\"M4.268 21a2 2 0 0 0 1.727 1H18a2 2 0 0 0 2-2V7l-5-5H6a2 2 0 0 0-2 2v3\"\/><path d=\"m9 18-1.5-1.5\"\/><circle cx=\"5\" cy=\"14\" r=\"3\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Risk factors and classification<\/h3><p class=\"nx-p nx-mt-1\">Rating variables group policyholders by expected loss. A variable can predict well yet be unlawful, unfair or a proxy for a protected characteristic, so classification is a legal and ethical question as well as a statistical one.<\/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\">Data limits and drift<\/h3><p class=\"nx-p nx-mt-1\">Pricing relies on past claims for exposures that change: inflation in repair and medical costs, new building stock, litigation trends, a changing climate. Experience that is too old or too thin misprices the next year.<\/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\"><circle cx=\"12\" cy=\"12\" r=\"3\"\/><circle cx=\"19\" cy=\"5\" r=\"2\"\/><circle cx=\"5\" cy=\"19\" r=\"2\"\/><path d=\"M10.4 21.9a10 10 0 0 0 9.941-15.416\"\/><path d=\"M13.5 2.1a10 10 0 0 0-9.841 15.416\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Market and capital pressure<\/h3><p class=\"nx-p nx-mt-1\">Competition, distribution costs and the underwriting cycle push charged premiums away from the technical price. The gap between the two is itself a risk, and it becomes visible only when the losses arrive.<\/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=\"m14.5 12.5-8 8a2.119 2.119 0 1 1-3-3l8-8\"\/><path d=\"m16 16 6-6\"\/><path d=\"m8 8 6-6\"\/><path d=\"m9 7 8 8\"\/><path d=\"m21 11-8-8\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Role boundaries<\/h3><p class=\"nx-p nx-mt-1\">Rate filings, prior approval regimes, unfair discrimination rules and fair value obligations constrain what may be charged. Actuaries, underwriters, boards and supervisors each hold a distinct part of the judgment.<\/p><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-terms\" class=\"nx-section\" data-hue=\"finance\" data-tone=\"alt\" data-variant=\"split\" 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\">Loss ratio<\/td><td data-label=\"Definition\">Incurred claims divided by earned premium for a period or a line of business.<\/td><\/tr><tr><td data-label=\"Term\">Combined ratio<\/td><td data-label=\"Definition\">The loss ratio plus the expense ratio; below one hundred percent means underwriting income exceeds claims and expenses before investment income.<\/td><\/tr><tr><td data-label=\"Term\">Technical price<\/td><td data-label=\"Definition\">The premium that would cover expected loss, expenses, the cost of capital and a margin for uncertainty, before commercial adjustment.<\/td><\/tr><tr><td data-label=\"Term\">Claims inflation<\/td><td data-label=\"Definition\">The rise in the average cost of claims over time from prices, wages, repair costs, medical costs and legal awards.<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-indicators\" class=\"nx-section\" data-hue=\"climate\" 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\">Loss ratio<\/td><td data-label=\"Unit\">incurred losses as a percent of earned premium<\/td><td data-label=\"Cadence\">quarterly<\/td><td data-label=\"Source type\">Statutory financial statements<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OFFICIAL<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Combined ratio<\/td><td data-label=\"Unit\">losses and expenses as a percent of earned premium<\/td><td data-label=\"Cadence\">quarterly<\/td><td data-label=\"Source type\">Statutory financial statements<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OFFICIAL<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Commercial rate change index<\/td><td data-label=\"Unit\">index of renewal rate movement<\/td><td data-label=\"Cadence\">quarterly<\/td><td data-label=\"Source type\">Broker market surveys<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Technical price adequacy<\/td><td data-label=\"Unit\">charged premium over technical premium, ratio<\/td><td data-label=\"Cadence\">annual, by portfolio<\/td><td data-label=\"Source type\">Insurer pricing systems<\/td><td data-label=\"Label\"><span class=\"nx-chip\">MODELLED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Claims inflation<\/td><td data-label=\"Unit\">annual change in average claim cost, percent<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Claims records and price indices<\/td><td data-label=\"Label\"><span class=\"nx-chip\">ESTIMATED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Rate filing outcomes<\/td><td data-label=\"Unit\">count of filings approved, modified or withdrawn<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Supervisory filing systems<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OFFICIAL<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Actual-to-expected claims ratio<\/td><td data-label=\"Unit\">ratio<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Experience studies<\/td><td data-label=\"Label\"><span class=\"nx-chip\">ESTIMATED<\/span><\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"indicators\" data-nxf-kind=\"indicator\" data-nxf-resource=\"nexus:\/\/gra\/A01\/topics\/underwriting-and-pricing-risk\/#indicators\" data-nxf-title=\"Indicators\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-pipeline\" class=\"nx-section\" data-hue=\"health\" 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 Underwriting and pricing risk 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-a01-topics-underwriting-and-pricing-risk--t nx-dag-a01-topics-underwriting-and-pricing-risk--d\" data-nx-z=\"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\"><title id=\"nx-dag-a01-topics-underwriting-and-pricing-risk--t\">Underwriting and pricing risk: catastrophe model pipeline<\/title><desc id=\"nx-dag-a01-topics-underwriting-and-pricing-risk--d\">A stochastic event catalogue drives the hazard module; exposure and vulnerability turn intensity into damage; the financial module applies policy terms; event and year loss tables give exceedance curves, PML and TVaR. 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=\"split\" 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\">NAIC System for Electronic Rates and Forms Filing (SERFF) public access<\/td><td data-label=\"What it gives\">Rate and rule filings with supporting actuarial memoranda, by state<\/td><td data-label=\"Licence class\">Public records, terms per state<\/td><\/tr><tr><td data-label=\"Source\">Marsh Global Insurance Market Index<\/td><td data-label=\"What it gives\">Commercial insurance rate movement by region and line<\/td><td data-label=\"Licence class\">Proprietary, published summary free to read<\/td><\/tr><tr><td data-label=\"Source\">Gallagher Re 1st View<\/td><td data-label=\"What it gives\">Reinsurance renewal pricing and terms at the main renewal dates<\/td><td data-label=\"Licence class\">Proprietary, published report free to read<\/td><\/tr><tr><td data-label=\"Source\">EIOPA consumer trends report<\/td><td data-label=\"What it gives\">Pricing practices, fair value and conduct concerns across EU markets<\/td><td data-label=\"Licence class\">Public, EU reuse terms<\/td><\/tr><tr><td data-label=\"Source\">National statistics offices<\/td><td data-label=\"What it gives\">Price indices for repair, construction, medical and legal costs<\/td><td data-label=\"Licence class\">Public, terms per office<\/td><\/tr><tr><td data-label=\"Source\">Casualty Actuarial Society and Society of Actuaries research<\/td><td data-label=\"What it gives\">Ratemaking methods, experience studies and practice notes<\/td><td data-label=\"Licence class\">Public research, terms per society<\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/gra\/A01\/topics\/underwriting-and-pricing-risk\/#evidence\" data-nxf-title=\"Sources\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-decisions\" class=\"nx-section\" data-hue=\"climate\" 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\">Insurance Nexus 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\">Appointed and pricing actuaries<\/td><td data-label=\"The question\">Whether proposed rates are adequate, not excessive and not unfairly discriminatory<\/td><td data-label=\"Evidence this page serves\">Experience data, trend selection and the effect of each rating variable, with the assumptions behind each<\/td><\/tr><tr><td data-label=\"Who decides\">Insurance supervisors and rate regulators<\/td><td data-label=\"The question\">Whether to approve, modify or disapprove a filing, and how to supervise fair value<\/td><td data-label=\"Evidence this page serves\">Filing evidence read against actuarial standards and conduct rules<\/td><\/tr><tr><td data-label=\"Who decides\">Underwriting committees<\/td><td data-label=\"The question\">Which risks to accept, at what price and with what terms and exclusions<\/td><td data-label=\"Evidence this page serves\">Technical price against market price, exposure data quality and model limits<\/td><\/tr><tr><td data-label=\"Who decides\">Legislators and equality bodies<\/td><td data-label=\"The question\">Which rating factors are lawful to use<\/td><td data-label=\"Evidence this page serves\">Evidence on predictive power, proxy effects and the distributional impact of each factor<\/td><\/tr><\/tbody><\/table><\/div><h3 class=\"nx-h4 nx-mt-4\">Outputs this topic produces<\/h3><ul class=\"nx-list\"><li>Guide to the components of a technical premium and where uncertainty enters<\/li><li>Method note on testing rating variables for proxy discrimination<\/li><li>Brief on the drivers of claims inflation by line<\/li><li>Evidence-to-diligence checklist for pricing model review<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-core-questions\" class=\"nx-section\" data-hue=\"health\" 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\">What professionals ask.<\/h2><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\"><li>Which risk factors predict loss, and how stable are they over time?<\/li><li>How should pricing respond when past loss experience is a poor guide to the future?<\/li><li>How do data gaps affect the price and availability of cover in different regions?<\/li><li>Where does granular pricing raise fairness or affordability concerns?<\/li><li>How should uncertainty in models be reflected in pricing and capital?<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-mechanisms\" class=\"nx-section\" data-hue=\"finance\" data-tone=\"alt\" data-variant=\"split\" 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\">Drivers and dynamics.<\/h2><\/div><div class=\"nx-section-body\"><p class=\"nx-p\">Traditional pricing relies on historical loss experience, adjusted for trends and exposures. Actuarial methods estimate expected losses and add loadings for expenses, uncertainty and the cost of capital. For catastrophe risks, where history is short and events rare, insurers use catastrophe models that simulate many possible events. When climate, technology or social change alters risk, historical data becomes less reliable and model uncertainty grows.<\/p><p class=\"nx-p\">Better data allows more granular pricing, which can reward risk reduction but can also make cover unaffordable for high-risk groups and raise concerns about discrimination. Many jurisdictions regulate which factors may be used. Where data is scarce, as in many developing markets, uncertainty leads to higher prices or no cover at all, contributing to protection gaps.<\/p><\/div><\/div><\/section><section id=\"nx-sec-methods-and-limits\" class=\"nx-section\" data-hue=\"climate\" 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 it is studied.<\/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\">Actuarial analysis<\/h3><p class=\"nx-p nx-mt-1\">Loss experience studies and pricing methods from <a class=\"nx-link\" href=\"https:\/\/globalriskalliance.com\/insurance-nexus\/stem\/actuarial-math\/\">actuarial mathematics<\/a>.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">02<\/span><div><h3 class=\"nx-h4\">Catastrophe modelling<\/h3><p class=\"nx-p nx-mt-1\">Simulation of hazard, exposure and vulnerability, drawing on <a class=\"nx-link\" href=\"https:\/\/globalriskalliance.com\/insurance-nexus\/stem\/extreme-value\/\">extreme value theory and tail risk<\/a> and climate and atmospheric science.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">03<\/span><div><h3 class=\"nx-h4\">Model risk assessment<\/h3><p class=\"nx-p nx-mt-1\">Comparing models and testing sensitivity to assumptions.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">04<\/span><div><h3 class=\"nx-h4\">Limits<\/h3><p class=\"nx-p nx-mt-1\">Models embed assumptions about hazards and behaviour, data quality varies widely, and no model captures every source of loss.<\/p><\/div><\/li><\/ol><\/div><\/div><\/section><section id=\"nx-sec-methods\" class=\"nx-section\" data-hue=\"health\" 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\/insurance-nexus\/stem\/actuarial-math\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">01<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Actuarial mathematics<\/span><span class=\"nx-mledger-role\">Loss reserving with development triangles \u00b7 Experience rating and credibility<\/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\/actuarial-math\/\" aria-label=\"Actuarial mathematics: canonical page on the STEM Commons\" target=\"_blank\" rel=\"noopener\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskalliance.com\/insurance-nexus\/stem\/probability-statistics\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">02<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Probability and statistics<\/span><span class=\"nx-mledger-role\">Frequency and severity modelling \u00b7 Bayesian updating of assumptions<\/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\/probability-statistics\/\" aria-label=\"Probability and statistics: canonical page on the STEM Commons\" target=\"_blank\" rel=\"noopener\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskalliance.com\/insurance-nexus\/stem\/ai-ml\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">03<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Artificial intelligence and machine learning<\/span><span class=\"nx-mledger-role\">Exposure enrichment from imagery \u00b7 Fraud and claims triage \u00b7 Fairness testing of pricing models<\/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\/technology\/ai-ml\/\" aria-label=\"Artificial intelligence and machine learning: canonical page on the STEM Commons\" target=\"_blank\" rel=\"noopener\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/globalriskalliance.com\/insurance-nexus\/stem\/extreme-value\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">04<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Extreme value theory and tail risk<\/span><span class=\"nx-mledger-role\">Large-loss pricing for excess layers \u00b7 Tail measures for solvency capital<\/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\/extreme-value\/\" aria-label=\"Extreme value theory and tail risk: canonical page on the STEM Commons\" target=\"_blank\" rel=\"noopener\">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\">Pricing models are fitted to past experience and can be wrong when conditions change. Data on many risk factors are incomplete, self-reported or unverifiable at the point of sale. Fairness criteria compete and cannot all be met at once, so the choice between them is a policy decision. Insurance Nexus explains methods and boundaries; it does not compute premiums, review any insurer's rates or give underwriting advice.<\/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>What is a technical premium?<\/summary><div class=\"nx-answer\">The premium that covers expected claims, expenses, reinsurance cost, the cost of holding capital and a margin for uncertainty. The premium actually charged can sit above or below it because of competition and strategy.<\/div><\/details><details><summary>Why can a predictive factor still be prohibited?<\/summary><div class=\"nx-answer\">Because law and policy set limits that statistics does not. A factor may be a protected characteristic, act as a proxy for one, or produce outcomes judged unfair, whatever its predictive power.<\/div><\/details><details><summary>Who checks that rates are fair?<\/summary><div class=\"nx-answer\">Depending on the jurisdiction, rate regulators approve or review filings, conduct supervisors test fair value, and actuaries certify against professional standards. Courts, ombudsman services and equality bodies decide disputes.<\/div><\/details><details><summary>Does GRA price or underwrite risks?<\/summary><div class=\"nx-answer\">No. Underwriting and pricing are decisions of licensed insurers. GRA's research is shared sector-level knowledge.<\/div><\/details><details><summary>Why can better data make insurance less affordable for some?<\/summary><div class=\"nx-answer\">Because more granular pricing reflects higher risk more precisely, which raises premiums for those most exposed.<\/div><\/details><details><summary>What is model risk?<\/summary><div class=\"nx-answer\">The risk of loss from decisions based on models that are wrong, misused or misunderstood.<\/div><\/details><details><summary>Does GRA give advice on this topic?<\/summary><div class=\"nx-answer\">No. GRA does not underwrite, sell, solicit, negotiate, place or broker insurance, and it does not rate, advise on or arrange transactions. Readiness work is not approval. Its analysis is shared, sector-level understanding.<\/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 Insurance Nexus.<\/h2><nav class=\"nx-related nx-mt-3\" aria-label=\"Related\"><a href=\"https:\/\/globalriskalliance.com\/insurance-nexus\/topics\/insurance-market-structure\/\">Insurance market structure <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\/insurance-nexus\/topics\/property-and-casualty\/\">Property and casualty <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\/insurance-nexus\/topics\/health-and-life-insurance\/\">Health and life insurance <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\/insurance-nexus\/topics\/claims-and-operational-resilience\/\">Claims and operational resilience <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\/insurance-nexus\/topics\/insurance-protection-gaps\/\">Insurance protection 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\/insurance-nexus\/topics\/climate-and-nature-risk\/\">Climate and nature 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\/insurance-nexus\/\">Insurance Nexus 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\/insurance-nexus\/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\">Insurance Nexus<\/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=Insurance%20Nexus%3A%20Underwriting%20and%20pricing%20risk\">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\/insurance-nexus\/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\/insurance-nexus\/topics\/underwriting-and-pricing-risk\/#faq\",\"isPartOf\":{\"@id\":\"https:\/\/globalriskalliance.com\/insurance-nexus\/topics\/underwriting-and-pricing-risk\/#webpage\"},\"inLanguage\":\"en\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"What is a technical premium?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"The premium that covers expected claims, expenses, reinsurance cost, the cost of holding capital and a margin for uncertainty. The premium actually charged can sit above or below it because of competition and strategy.\"}},{\"@type\":\"Question\",\"name\":\"Why can a predictive factor still be prohibited?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Because law and policy set limits that statistics does not. A factor may be a protected characteristic, act as a proxy for one, or produce outcomes judged unfair, whatever its predictive power.\"}},{\"@type\":\"Question\",\"name\":\"Who checks that rates are fair?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Depending on the jurisdiction, rate regulators approve or review filings, conduct supervisors test fair value, and actuaries certify against professional standards. Courts, ombudsman services and equality bodies decide disputes.\"}},{\"@type\":\"Question\",\"name\":\"Does GRA price or underwrite risks?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"No. Underwriting and pricing are decisions of licensed insurers. GRA's research is shared sector-level knowledge.\"}},{\"@type\":\"Question\",\"name\":\"Why can better data make insurance less affordable for some?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Because more granular pricing reflects higher risk more precisely, which raises premiums for those most exposed.\"}},{\"@type\":\"Question\",\"name\":\"What is model risk?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"The risk of loss from decisions based on models that are wrong, misused or misunderstood.\"}},{\"@type\":\"Question\",\"name\":\"Does GRA give advice on this topic?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"No. GRA does not underwrite, sell, solicit, negotiate, place or broker insurance, and it does not rate, advise on or arrange transactions. Readiness work is not approval. 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