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COHERENCE AND ELICITABILITY
Author(s) -
Ziegel Johanna F.
Publication year - 2016
Publication title -
mathematical finance
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.98
H-Index - 81
eISSN - 1467-9965
pISSN - 0960-1627
DOI - 10.1111/mafi.12080
Subject(s) - expected shortfall , value at risk , coherent risk measure , quantile , risk measure , econometrics , coherence (philosophical gambling strategy) , measure (data warehouse) , actuarial science , financial risk , invariant (physics) , value (mathematics) , economics , risk management , computer science , mathematics , statistics , finance , data mining , portfolio , mathematical physics
The risk of a financial position is usually summarized by a risk measure. As this risk measure has to be estimated from historical data, it is important to be able to verify and compare competing estimation procedures. In statistical decision theory, risk measures for which such verification and comparison is possible, are called elicitable. It is known that quantile‐based risk measures such as value at risk are elicitable. In this paper, the existing result of the nonelicitability of expected shortfall is extended to all law‐invariant spectral risk measures unless they reduce to minus the expected value. Hence, it is unclear how to perform forecast verification or comparison. However, the class of elicitable law‐invariant coherent risk measures does not reduce to minus the expected value. We show that it consists of certain expectiles.