Quotation Fissler, Tobias, Frongillo, Rafael, Hlavinova, Jana, Rudloff, Birgit. 2021. Forecast evaluation of quantiles, prediction intervals, and other set-valued functionals. Electronic Journal of Statistics. 15 (1), 1034-1084.




We introduce a theoretical framework of elicitability and identifiability of set-valued functionals, such as quantiles, prediction intervals, and systemic risk measures. A functional is elicitable if it is the unique minimiser of an expected scoring function, and identifiable if it is the unique zero of an expected identification function; both notions are essential for forecast ranking and validation, and M- and Z-estimation. Our framework distinguishes between exhaustive forecasts, being set-valued and aiming at correctly specifying the entire functional, and selective forecasts, content with solely specifying a single point in the correct functional. We establish a mutual exclusivity result: A set-valued functional can be either selectively elicitable or exhaustively elicitable or not elicitable at all. Notably, since quantiles are well known to be selectively elicitable, they fail to be exhaustively elicitable. We further show that the classes of prediction intervals and Vorob’ev quantiles turn out to be exhaustively elicitable, hence not selectively elicitable, but still selectively identifiable. In particular, we provide a mixture representation of elementary exhaustive scores, leading the way to Murphy diagrams. We establish that the shortest prediction interval and those specified by an endpoint or midpoint in general fail to be elicitable with respect to either notion, unless an endpoint is given via a quantile. We end with a comprehensive literature review on common practice in forecast evaluation of set-valued functionals.


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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal Electronic Journal of Statistics
Citation Index SCI
WU-Journal-Rating new FIN-A, VW-C
Language English
Title Forecast evaluation of quantiles, prediction intervals, and other set-valued functionals
Volume 15
Number 1
Year 2021
Page from 1034
Page to 1084
Reviewed? Y
URL https://projecteuclid.org/journals/electronic-journal-of-statistics/volume-15/issue-1/Forecast-evaluation-of-quantiles-prediction-intervals-and-other-set-valued/10.1214/21-EJS1808.full
DOI https://doi.org/10.1214/21-EJS1808
Open Access Y
Open Access Link https://projecteuclid.org/journals/electronic-journal-of-statistics/volume-15/issue-1/Forecast-evaluation-of-quantiles-prediction-intervals-and-other-
JEL 62C05, 62F07, 91B06; secondary 62H11


Dynamic measures of systemic risk
Fissler, Tobias (Details)
Hlavinova, Jana (Details)
Rudloff, Birgit (Details)
Frongillo, Rafael (University of Colorado Boulder, United States/USA)
Institute for Statistics and Mathematics IN (Details)
Research areas (ÖSTAT Classification 'Statistik Austria')
1113 Mathematical statistics (Details)
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