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Asymptotically Stable Dynamic Risk Assessments

Asymptotically stable dynamic risk assessments
Authors: KARL-THEODOR EISELE; MICHAEL KUPPER;

Asymptotically Stable Dynamic Risk Assessments

Abstract

Abstract In this paper we study asymptotically stable risk assessments (or equivalently risk measures) which have the property that an unacceptable position cannot become acceptable by adding a huge cash-flow far in the future. Under an additional continuity assumption, these risk assessments are exactly those which have a robust representation in terms of test probabilities that are supported on a finite time interval. For time-consistent risk assessments we give conditions on their generators which guarantee asymptotic stability.

Keywords

asymptotic stability, [MATH.MATH-PR] Mathematics [math]/Probability [math.PR], asymptotic stability of risk assessments, local test probabilities, asymptotic stability of risk assessments, construction by generators, local test probabilities, robust representation, time-consistency., Limit theorems in probability theory, Risk theory, insurance, [QFIN.RM] Quantitative Finance [q-fin]/Risk Management [q-fin.RM], robust representation, construction by generators, time-consistency, Utility theory, generators, risk assessments

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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Average
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