On the extension property of dilatation monotone risk measures

IF 1.3 Q2 STATISTICS & PROBABILITY Statistics & Risk Modeling Pub Date : 2020-02-27 DOI:10.1515/STRM-2020-0006
Massoomeh Rahsepar, F. Xanthos
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引用次数: 9

Abstract

Abstract Let 𝒳 be a subset of L 1 L^{1} that contains the space of simple random variables ℒ and ρ : X → ( - ∞ , ∞ ] \rho\colon\mathcal{X}\to(-\infty,\infty] a dilatation monotone functional with the Fatou property. In this note, we show that 𝜌 extends uniquely to a σ ⁢ ( L 1 , L ) \sigma(L^{1},\mathcal{L}) lower semicontinuous and dilatation monotone functional ρ ¯ : L 1 → ( - ∞ , ∞ ] \overline{\rho}\colon L^{1}\to(-\infty,\infty] . Moreover, ρ ¯ \overline{\rho} preserves monotonicity, (quasi)convexity and cash-additivity of 𝜌. We also study conditions under which ρ ¯ \overline{\rho} preserves finiteness on a larger domain. Our findings complement extension and continuity results for (quasi)convex law-invariant functionals. As an application of our results, we show that transformed norm risk measures on Orlicz hearts admit a natural extension to L 1 L^{1} that retains robust representations.
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扩张单调风险测度的可拓性
摘要:设f (f)是L 1 L^{1}的一个子集,它包含由简单随机变量组成的空间∑和ρ: X→(-∞,∞)\rho\colon\mathcal{X}\to (- \infty, \infty),一个具有Fatou性质的膨胀单调泛函。在这篇文章中,我们证明了𝜌唯一地扩展到σ¹(L 1, L) \sigma (L^{1}, \mathcal{L})下半连续和扩张单调泛函ρ¯:L 1→(-∞,∞)\overline{\rho}\colon L^{1}\to (- \infty, \infty)。并且ρ¯\overline{\rho}保持了𝜌的单调性、(拟)凸性和现金可加性。我们还研究了ρ¯\overline{\rho}在更大的域上保持有限的条件。我们的发现补充了(拟)凸不变泛函的可拓性和连续性结果。作为我们结果的一个应用,我们证明了Orlicz心上的变换范数风险度量可以自然地扩展到L 1 L^{1},并且保留了鲁棒表示。
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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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