货币效用高于连贯风险比率

IF 1.3 Q2 STATISTICS & PROBABILITY Statistics & Risk Modeling Pub Date : 2006-07-01 DOI:10.1524/STND.2006.24.1.173
Johannes Leitner
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引用次数: 1

摘要

对于在Lq中具有紧场景集的货币效用函数U和连贯风险测度ρ,在(无套利)线性子空间V≠Lp, 1≤p≤∞上,我们优化了不完全市场模型中可获得收益的比值α(V): = U(V)/ρ(V),使得ρ >在V \{0}上为0。如果存在一个解V∈V,且α(V) = α¯V: = sup V∈Vα(V)∈[0,∞],则一阶最优性条件允许构造V的绝对连续鞅测度Q¯+α¯VQ/1+α¯V的两个概率测度Q¯,Q的凸组合。相反,如果α¯V∈[0,∞),则α¯V等于最小的a∈[0,∞),使得Q¯+aQ/1+a是V的绝对连续鞅测度,对于某些概率测度Q¯,定义U, ρ和α¯V =∞的场景集中的Q成立,如果这样的凸组合不存在。
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Monetary utility over coherent risk ratios
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.
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来源期刊
Statistics & Risk Modeling
Statistics & Risk Modeling STATISTICS & PROBABILITY-
CiteScore
1.80
自引率
6.70%
发文量
6
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.
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