March 2012 Central limit theorems for law-invariant coherent risk measures
Denis Belomestny, Volker Krätschmer
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J. Appl. Probab. 49(1): 1-21 (March 2012). DOI: 10.1239/jap/1331216831

Abstract

In this paper we study the asymptotic properties of the canonical plugin estimates for law-invariant coherent risk measures. Under rather mild conditions not relying on the explicit representation of the risk measure under consideration, we first prove a central limit theorem for independent and identically distributed data, and then extend it to the case of weakly dependent data. Finally, a number of illustrating examples is presented.

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Denis Belomestny. Volker Krätschmer. "Central limit theorems for law-invariant coherent risk measures." J. Appl. Probab. 49 (1) 1 - 21, March 2012. https://doi.org/10.1239/jap/1331216831

Information

Published: March 2012
First available in Project Euclid: 8 March 2012

zbMATH: 1245.60026
MathSciNet: MR2952879
Digital Object Identifier: 10.1239/jap/1331216831

Subjects:
Primary: 60F05 , 62F12
Secondary: 60F17 , 62G30 , 91B30

Keywords: canonical plugin estimate , functional central limit theorem , Law-invariant coherent risk measure , Weak dependence

Rights: Copyright © 2012 Applied Probability Trust

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Vol.49 • No. 1 • March 2012
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