Best- and worst-case Scenarios for GlueVaR distortion risk measure with Incomplete information
Risk Management
2024-10-22 v1
Abstract
This paper derives the best- and worst-case GlueVaR distortion risk measure within a unified framework, based on partial information of the underlying distributions and shape information such as symmetry. In addition, we characterize the extremal distributions of GlueVaR with convex envelopes of the corresponding distortion functions. As examples, extremal cases of VaR, TVaR and RVaR are derived.
Cite
@article{arxiv.2409.19902,
title = {Best- and worst-case Scenarios for GlueVaR distortion risk measure with Incomplete information},
author = {Mengshuo Zhao and Chuancun Yin},
journal= {arXiv preprint arXiv:2409.19902},
year = {2024}
}
Comments
30 pages. arXiv admin note: text overlap with arXiv:2404.13637