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Haezendonck-Goovaerts capital allocation rules
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- This paper deals with the problem of capital allocation for a peculiar class of risk measures, namely the Haezendonck-Goovaerts (HG) ones. We generalize the capital allocation rule (CAR) introduced by Xun et al. for Orlicz risk premia, using firstly an approach based on Orlicz quantiles and secondly a more general one based on the, here introduced, concept of linking functions. Further on, we use the same construction of to extend the CARs previously introduced to HG risk measures. We therefore study the properties of different CARs for HG risk measures, both in the quantile-based setting and in the linking one. Finally, we provide robust versions of the introduced CARs, both considering the case of ambiguity over the probabilistic model and the one of multiple Young functions, following the scheme of.
- Subjects :
- Scheme (programming language)
Statistics and Probability
Economics and Econometrics
Class (set theory)
Ambiguity
Computer science
Capital allocation
media_common.quotation_subject
Risk premium
Orlicz risk premium
Statistical model
Function (mathematics)
Capital allocation line
Econometrics
Statistics, Probability and Uncertainty
Haezendonck-Goovaerts risk measure
Quantile
computer
computer.programming_language
media_common
Mathematics
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....1c1959b8a8d2322f93af87c7538e0b8e