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  • Search: subject:"Consistent loss function"
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Year of publication
Subject
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Consistent loss function 5 Elicitability 4 Estimation theory 4 Schätztheorie 4 Forecasting 3 Forecasting model 3 Prognoseverfahren 3 Recursive least squares 3 Analysis of variance 2 Generalized autoregressivescore 2 Nonlinear shrinkage 2 Portfolio selection 2 Portfolio-Management 2 Varianzanalyse 2 Bregman divergence 1 Conditional tail expectation 1 Expectile 1 Extremal consistent loss function 1 Forecast 1 Generalized autoregressive score 1 Neural network regression 1 Neural networks 1 Neuronale Netze 1 Proper scoring rule 1 Quantile 1 Quantile and expected shortfall regression 1 Regression analysis 1 Regressionsanalyse 1 Risikomaß 1 Risk measure 1 Shrinkage 1 Splicing model 1 Statistical test 1 Statistischer Test 1
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Online availability
All
Undetermined 3 Free 2
Type of publication
All
Article 3 Book / Working Paper 2
Type of publication (narrower categories)
All
Article in journal 3 Aufsatz in Zeitschrift 3 Working Paper 2 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1
Language
All
English 5
Author
All
Krüger, Fabian 3 Liesenfeld, Roman 3 Reh, Laura 3 Fissler, Tobias 1 Merz, Michael 1 Wüthrich, Mario V. 1 Yen, Tso-Jung 1 Yen, Yu-min 1
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Published in...
All
Insurance 1 International journal of forecasting 1 Journal of business & economic statistics : JBES ; a publication of the American Statistical Association 1 KIT Working Paper Series in Economics 1 Working paper series in economics 1
Source
All
ECONIS (ZBW) 4 EconStor 1
Showing 1 - 5 of 5
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Testing forecast accuracy of expectiles and quantiles with the extremal consistent loss functions
Yen, Yu-min; Yen, Tso-Jung - In: International journal of forecasting 37 (2021) 2, pp. 733-758
Persistent link: https://www.econbiz.de/10012792867
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Cover Image
Predicting the global minimum variance portfolio
Reh, Laura; Krüger, Fabian; Liesenfeld, Roman - 2020
representation enables us to derive a consistent loss function from which we can infer the optimal GMVP weights without imposing any …
Persistent link: https://www.econbiz.de/10012243462
Saved in:
Cover Image
Predicting the global minimum variance portfolio
Reh, Laura; Krüger, Fabian; Liesenfeld, Roman - In: Journal of business & economic statistics : JBES ; a … 41 (2023) 2, pp. 440-452
Persistent link: https://www.econbiz.de/10014448239
Saved in:
Cover Image
Predicting the global minimum variance portfolio
Reh, Laura; Krüger, Fabian; Liesenfeld, Roman - 2020
representation enables us to derive a consistent loss function from which we can infer the optimal GMVP weights without imposing any …
Persistent link: https://www.econbiz.de/10012250683
Saved in:
Cover Image
Deep quantile and deep composite triplet regression
Fissler, Tobias; Merz, Michael; Wüthrich, Mario V. - In: Insurance 109 (2023), pp. 94-112
Persistent link: https://www.econbiz.de/10014282471
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