{"title":"稳健的凸风险度量","authors":"Marcelo Righi","doi":"arxiv-2406.12999","DOIUrl":null,"url":null,"abstract":"We study the general properties of robust convex risk measures as worst-case\nvalues under uncertainty on random variables. We establish general concrete\nresults regarding convex conjugates and sub-differentials. We refine some\nresults for closed forms of worstcase law invariant convex risk measures under\ntwo concrete cases of uncertainty sets for random variables: based on the first\ntwo moments and Wasserstein balls.","PeriodicalId":501128,"journal":{"name":"arXiv - QuantFin - Risk Management","volume":"188 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Robust convex risk measures\",\"authors\":\"Marcelo Righi\",\"doi\":\"arxiv-2406.12999\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We study the general properties of robust convex risk measures as worst-case\\nvalues under uncertainty on random variables. We establish general concrete\\nresults regarding convex conjugates and sub-differentials. We refine some\\nresults for closed forms of worstcase law invariant convex risk measures under\\ntwo concrete cases of uncertainty sets for random variables: based on the first\\ntwo moments and Wasserstein balls.\",\"PeriodicalId\":501128,\"journal\":{\"name\":\"arXiv - QuantFin - Risk Management\",\"volume\":\"188 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-06-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - QuantFin - Risk Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2406.12999\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - QuantFin - Risk Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2406.12999","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We study the general properties of robust convex risk measures as worst-case
values under uncertainty on random variables. We establish general concrete
results regarding convex conjugates and sub-differentials. We refine some
results for closed forms of worstcase law invariant convex risk measures under
two concrete cases of uncertainty sets for random variables: based on the first
two moments and Wasserstein balls.