大的偏差建立在最大稳定性上

M. Kupper, J. M. Zapata
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引用次数: 6

摘要

本文证明了大偏差理论的基本结果对一般货币风险测度是成立的,它满足最大稳定性的关键性质。极大稳定货币风险测度满足格同态性质,并在适当的紧性条件下满足拉普拉斯原理,即允许具有仿射凸共轭的对偶表示。通过用风险的集中代替概率的渐近集中,给出了最大稳定货币风险度量的大偏差原则,并证明了它与LP的等价性。其中,渐近熵风险测度的特殊情况对应于LDP和LP之间的经典Varadhan-Bryc等价。主要结果用渐近短缺风险测度来说明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Large deviations built on max-stability
In this paper, we show that the basic results in large deviations theory hold for general monetary risk measures, which satisfy the crucial property of max-stability. A max-stable monetary risk measure fulfills a lattice homomorphism property, and satisfies under a suitable tightness condition the Laplace Principle (LP), that is, admits a dual representation with affine convex conjugate. By replacing asymptotic concentration of probability by concentration of risk, we formulate a Large Deviation Principle (LDP) for max-stable monetary risk measures, and show its equivalence to the LP. In particular, the special case of the asymptotic entropic risk measure corresponds to the classical Varadhan-Bryc equivalence between the LDP and LP. The main results are illustrated by the asymptotic shortfall risk measure.
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