Abstract
We obtain a number of new general properties, related to the closedness of the class of long-tailed distributions under convolutions, that are of interest themselves and may be applied in many models that deal with “plus” and/or “max” operations on heavy-tailed random variables. We analyse the closedness property under convolution roots for these distributions. Namely, we introduce two classes of heavy-tailed distributions that are not long-tailed and study their properties. These examples help to provide further insights and, in particular, to show that the properties to be both long-tailed and so-called “generalised subexponential” are not preserved under the convolution roots. This leads to a negative answer to a conjecture of Embrechts and Goldie (J. Austral. Math. Soc. (Ser. A) 29, 243–256 1980, Stoch. Process. Appl. 13, 263–278 1982) for the class of long-tailed and generalised subexponential distributions. In particular, our examples show that the following is possible: an infinitely divisible distribution belongs to both classes, while its Lévy measure is neither long-tailed nor generalised subexponential.
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Sergey Foss, Research supported by EPSRC grant No. EP/I017054/1
Yuebao Wang, Research supported by National Science Foundation of China, Grant No.11071182
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Xu, H., Foss, S. & Wang, Y. Convolution and convolution-root properties of long-tailed distributions. Extremes 18, 605–628 (2015). https://doi.org/10.1007/s10687-015-0224-2
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DOI: https://doi.org/10.1007/s10687-015-0224-2
Keywords
- Long-Tailed distribution
- Generalised subexponential distribution
- Closedness
- Convolution
- Convolution root
- Random sum
- Infinitely divisible distribution
- Lévy measure