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WiWi
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Universitätsstr. 12
45141 Essen
45141 Essen
Raum
R12 R06 A32
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Funktionen
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Universitätsprofessor/in, Finanzmarktökonometrie
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Gruppe der Hochschullehrerinnen und Hochschullehrer, Fakultätsrat
Aktuelle Veranstaltungen
Vergangene Veranstaltungen (max. 10)
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WiSe 2025
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SoSe 2025
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WiSe 2024
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SoSe 2024
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WiSe 2023
Die folgenden Publikationen sind in der Online-Universitätsbibliographie der Universität Duisburg-Essen verzeichnet. Weitere Informationen finden Sie gegebenenfalls auch auf den persönlichen Webseiten der Person.
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Dynamic CoVaR Modeling and EstimationIn: Journal of Business & Economic Statistics: JBES, 2026, in pressDOI, Online Volltext (Open Access)
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Regressions under Adverse ConditionsIn: Journal of Business & Economic Statistics: JBES, Jg. 44, 2026, Nr. 1, S. 227 – 241DOI (Open Access)
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The Estimation Risk in Extreme Systemic Risk ForecastsIn: Econometric Theory, Jg. 41, 2025, Nr. 2, S. 341 – 390DOI, Online Volltext (Open Access)
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Backtesting Systemic Risk Forecasts using Multi-Objective ElicitabilityIn: Journal of Business & Economic Statistics: JBES, Jg. 42, 2024, Nr. 2, S. 485 – 498DOI, Online Volltext (Open Access)
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Monitoring Value-at-Risk and Expected Shortfall ForecastsIn: Management Science, Jg. 69, 2023, Nr. 5, S. 2954 – 2971
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On Testing Equal Conditional Predictive Ability Under Measurement ErrorIn: Journal of Business & Economic Statistics: JBES, Jg. 41, 2023, Nr. 2, S. 364 – 376DOI, Online Volltext (Open Access)
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Extremal Dependence-Based Specification Testing of Time SeriesIn: Journal of Business & Economic Statistics: JBES, Jg. 41, 2022, Nr. 4, S. 1274 – 1287DOI, Online Volltext (Open Access)
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Limit Theory for Forecasts of Extreme Distortion Risk Measures and ExpectilesIn: Journal of Financial Econometrics, Jg. 20, 2022, Nr. 1, S. 18 – 44
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Modeling Time-Varying Tail Dependence, with Application to Systemic Risk ForecastingIn: Journal of Financial Econometrics, Jg. 20, 2022, Nr. 5, S. 1007 – 1037
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Quantifying the data-dredging bias in structural break testsIn: Statistical Papers, Jg. 63, 2022, Nr. 1, S. 143 – 155DOI (Open Access)
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The uncertainty in extreme risk forecasts from covariate-augmented volatility modelsIn: International Journal of Forecasting, Jg. 37, 2021, Nr. 2, S. 675 – 686
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Where does the tail begin? : An approach based on scoring rulesIn: Econometric Reviews, Jg. 39, 2020, Nr. 6, S. 579 – 601DOI, Online Volltext (Open Access)
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Confidence Intervals for Conditional Tail Risk Measures in ARMA–GARCH ModelsIn: Journal of Business & Economic Statistics: JBES, Jg. 37, 2019, Nr. 4, S. 613 – 624
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Extending the Limits of Backtesting via the ‘Vanishing p’-ApproachIn: Journal of Time Series Analysis, Jg. 40, 2019, Nr. 5, S. 858 – 866
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Extreme Conditional Tail Moment Estimation under Serial DependenceIn: Journal of Financial Econometrics, Jg. 17, 2019, Nr. 4, S. 587 – 615
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A structural break test for extremal dependence in β-mixing random vectorsIn: Biometrika, Jg. 105, 2018, Nr. 3, S. 627 – 643DOI, Online Volltext (Open Access)
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Detecting Tail Risk Differences in Multivariate Time SeriesIn: Journal of Time Series Analysis, Jg. 39, 2018, Nr. 5, S. 665 – 689
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Change point tests for the tail index of β-mixing random variablesIn: Econometric Theory, Jg. 33, 2017, Nr. 4, S. 915 – 954
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Monitoring multivariate time seriesIn: Journal of Multivariate Analysis, Jg. 155, 2017, S. 105 – 121
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Sequential monitoring of the tail behavior of dependent dataIn: Journal of Statistical Planning and Inference, Jg. 182, 2017, S. 29 – 49DOI (Open Access)
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Testing for changes in (extreme) VaRIn: The Econometrics Journal, Jg. 20, 2017, Nr. 1, S. 23 – 51
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Extremal Expected Shortfall Regressions : Inference and an Application to Health Care Spending2026
(CINCH working paper series ; 2026/02)DOI, Online Volltext (Open Access)