Abstract
We derive a one-sided Vysochanskii-Petunin inequality, providing probability bounds for random variables analogous to those given by Cantelli's inequality under the additional assumption of unimodality, potentially relevant for applied statistical practice across a wide range of disciplines. As a possible application of this inequality in a financial context, we examine refined bounds for the individual risk measure of Value-at-Risk, providing a potentially useful alternative benchmark with interesting regulatory implications for the Basel multiplier.
Original language | English |
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Pages (from-to) | 374-377 |
Journal | European Journal of Operational Research |
Volume | 295 |
Issue number | 1 |
Early online date | 24 Feb 2021 |
DOIs | |
Publication status | Published - 16 Nov 2021 |
Keywords
- Risk analysis
- Risk management
- Finance
- OR in banking
ASJC Scopus subject areas
- Information Systems and Management
- General Computer Science
- Modelling and Simulation
- Management Science and Operations Research