{"title":"货币效用高于连贯风险比率","authors":"Johannes Leitner","doi":"10.1524/STND.2006.24.1.173","DOIUrl":null,"url":null,"abstract":"SUMMARY For a monetary utility functional U and a coherent risk measure ρ, both with compact scenario sets in Lq, we optimize the ratio α(V): = U(V)/ρ(V) over an (arbitrage-free) linear sub-space V⊆Lp, 1 ≤ p ≤ ∞, of attainable returns in an incomplete market model such that ρ > 0 on V \\ {0}. If a solution Vˆ ∈ V with α(Vˆ) = α¯ V: = sup V∈Vα(V)∈[0,∞) exists, then the first order optimality condition allows to construct an absolutely continuous martingale measure for V as a convex combination Q¯+α¯VQ/1+α¯V of two probability measures Q¯, Q from the respective scenario sets defining U and ρ. Conversely, if α¯V ∈ [0,∞), then α¯V equals the smallest a∈[0,∞) such that Q¯+aQ/1+a is an absolutely continuous martingale measure for V for some probability measures Q¯, Q from the scenario sets defining U, ρ, and α¯V = ∞ holds iff such a convex combination does not exist.","PeriodicalId":44159,"journal":{"name":"Statistics & Risk Modeling","volume":null,"pages":null},"PeriodicalIF":1.3000,"publicationDate":"2006-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1524/STND.2006.24.1.173","citationCount":"1","resultStr":"{\"title\":\"Monetary utility over coherent risk ratios\",\"authors\":\"Johannes Leitner\",\"doi\":\"10.1524/STND.2006.24.1.173\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"SUMMARY For a monetary utility functional U and a coherent risk measure ρ, both with compact scenario sets in Lq, we optimize the ratio α(V): = U(V)/ρ(V) over an (arbitrage-free) linear sub-space V⊆Lp, 1 ≤ p ≤ ∞, of attainable returns in an incomplete market model such that ρ > 0 on V \\\\ {0}. If a solution Vˆ ∈ V with α(Vˆ) = α¯ V: = sup V∈Vα(V)∈[0,∞) exists, then the first order optimality condition allows to construct an absolutely continuous martingale measure for V as a convex combination Q¯+α¯VQ/1+α¯V of two probability measures Q¯, Q from the respective scenario sets defining U and ρ. Conversely, if α¯V ∈ [0,∞), then α¯V equals the smallest a∈[0,∞) such that Q¯+aQ/1+a is an absolutely continuous martingale measure for V for some probability measures Q¯, Q from the scenario sets defining U, ρ, and α¯V = ∞ holds iff such a convex combination does not exist.\",\"PeriodicalId\":44159,\"journal\":{\"name\":\"Statistics & Risk Modeling\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2006-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1524/STND.2006.24.1.173\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Statistics & Risk Modeling\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1524/STND.2006.24.1.173\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"STATISTICS & PROBABILITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Statistics & Risk Modeling","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1524/STND.2006.24.1.173","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
SUMMARY For a monetary utility functional U and a coherent risk measure ρ, both with compact scenario sets in Lq, we optimize the ratio α(V): = U(V)/ρ(V) over an (arbitrage-free) linear sub-space V⊆Lp, 1 ≤ p ≤ ∞, of attainable returns in an incomplete market model such that ρ > 0 on V \ {0}. If a solution Vˆ ∈ V with α(Vˆ) = α¯ V: = sup V∈Vα(V)∈[0,∞) exists, then the first order optimality condition allows to construct an absolutely continuous martingale measure for V as a convex combination Q¯+α¯VQ/1+α¯V of two probability measures Q¯, Q from the respective scenario sets defining U and ρ. Conversely, if α¯V ∈ [0,∞), then α¯V equals the smallest a∈[0,∞) such that Q¯+aQ/1+a is an absolutely continuous martingale measure for V for some probability measures Q¯, Q from the scenario sets defining U, ρ, and α¯V = ∞ holds iff such a convex combination does not exist.
期刊介绍:
Statistics & Risk Modeling (STRM) aims at covering modern methods of statistics and probabilistic modeling, and their applications to risk management in finance, insurance and related areas. The journal also welcomes articles related to nonparametric statistical methods and stochastic processes. Papers on innovative applications of statistical modeling and inference in risk management are also encouraged. Topics Statistical analysis for models in finance and insurance Credit-, market- and operational risk models Models for systemic risk Risk management Nonparametric statistical inference Statistical analysis of stochastic processes Stochastics in finance and insurance Decision making under uncertainty.