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Backtesting Systemic Risk Forecasts Using Multi-Objective Elicitability

Bibliographic Data

ID19418458
AuthorsTobias Fissler (0000-0002-6541-7347, Department of Finance, Accounting and Statistics, Vienna University of Economics and Business (WU), Vienna, Austria), Yannick Hoga (0000-0002-6332-5561, University of Duisburg-Essen, corresponding author)
Year2024
Volume42
Issue2
Pages485-498
Publication date2024-04-02
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueJournal of Business and Economic Statistics (JOURNAL)
Journal identifiersISSN: 0735-0015 • E-ISSN: 1537-2707
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/07350015.2023.2200514
OpenAlexW3155606525
LanguageEN
Citations received4
References cited38

Systemic risk measures such as CoVaR, CoES, and MES are widely-used in finance, macroeconomics and by regulatory bodies. Despite their importance, we show that they fail to be elicitable and identifiable. This renders forecast comparison and validation, commonly summarized as “backtesting,” impossible. The novel notion of multi-objective elicitability solves this problem by relying on bivariate scores equipped with the lexicographic order. Based on this concept, we propose Diebold–Mariano type tests with suitable bivariate scores to compare systemic risk forecasts. We illustrate the test decisions by an easy-to-apply traffic-light approach. Finally, we apply our traffic-light approach to DAX 30 and S&P 500 returns, and infer some recommendations for regulators

Actuarial science · Econometrics · Economics · Financial crisis · Lexicographical order · Macroeconomics · Systemic risk · Computer Science · Financial Risk and Volatility Modeling · Market Dynamics and Volatility · Mathematics · Monetary Policy and Economic Impact · Finance

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Unique citing works4
Citations per year2
Citation span2024 - 2026 (3)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 3

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