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Year of publication
Subject
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central bank communication 3 central bank independence 3 financial forecasts 3 forward guidance 3 inflation targeting 3 macroeconomic forecasts 3 panel data models with truncated data 3 Central bank 2 Central bank independence 2 Central bank transparency 2 EM algorithm 2 Economic forecast 2 Forecasting model 2 Geldpolitik 2 Inflation targeting 2 Inflationssteuerung 2 M-estimators 2 Monetary policy 2 Panel 2 Panel study 2 Political communication 2 Politische Kommunikation 2 Prognoseverfahren 2 Theorie 2 Theory 2 Welt 2 Wirtschaftsprognose 2 World 2 Zentralbank 2 Zentralbankunabhängigkeit 2 influence function 2 truncated data 2 Expectation maximization algorithm 1 General insurance 1 Individual claim features 1 Loss Distribution 1 Loss distribution 1 Loss reserving 1 Mixture distribution 1 Natural Catastrophe 1
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Online availability
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Free 8
Type of publication
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Book / Working Paper 7 Article 1
Type of publication (narrower categories)
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Working Paper 3 Arbeitspapier 2 Graue Literatur 2 Non-commercial literature 2 Article 1
Language
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English 5 Undetermined 3
Author
All
Lustenberger, Thomas 3 Rossi, Enzo 3 Burnecki, Krzysztof 2 Chernobai, Anna 2 Rachev, Svetlozar 2 Trueck, Stefan 2 Victoria-Feser, Maria-Pia 2 Weron, Rafal 2 Bücher, Axel 1 Rosenstock, Alexander 1
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Institution
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Hugo Steinhaus Center for Stochastic Methods, Politechnika Wrocławska 1 London School of Economics (LSE) 1 Suntory and Toyota International Centres for Economics and Related Disciplines, LSE 1 Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 1
Published in...
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European Actuarial Journal 1 HSC Research Reports 1 LSE Research Online Documents on Economics 1 MPRA Paper 1 SNB working papers 1 STICERD - Distributional Analysis Research Programme Papers 1 WWZ Working Paper 1 WWZ working paper 1
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Source
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RePEc 4 ECONIS (ZBW) 2 EconStor 2
Showing 1 - 8 of 8
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Micro-level prediction of outstanding claim counts based on novel mixture models and neural networks
Bücher, Axel; Rosenstock, Alexander - In: European Actuarial Journal 13 (2022) 1, pp. 55-90
Predicting the number of outstanding claims (IBNR) is a central problem in actuarial loss reserving. Classical approaches like the Chain Ladder method rely on aggregating the available data in form of loss triangles, thereby wasting potentially useful additional claims information. A new...
Persistent link: https://www.econbiz.de/10015202773
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Does central bank transparency and communication affect financial and macroeconomic forecasts?
Lustenberger, Thomas; Rossi, Enzo - 2018
In a large sample of countries across different geographic regions and over a long period of time, we find limited country- and variable-specific effects of central bank transparency on forecast accuracy and their dispersion among a large set of professional forecasts of financial and...
Persistent link: https://www.econbiz.de/10011933021
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Cover Image
Does central bank transparency and communication affect financial and macroeconomic forecasts?
Lustenberger, Thomas; Rossi, Enzo - 2018
In a large sample of countries across different geographic regions and over a long period of time, we find limited country- and variable-specific effects of central bank transparency on forecast accuracy and their dispersion among a large set of professional forecasts of financial and...
Persistent link: https://www.econbiz.de/10011790688
Saved in:
Cover Image
Does central bank transparency and communication affect financial and macroeconomic forecasts?
Lustenberger, Thomas; Rossi, Enzo - 2017
Persistent link: https://www.econbiz.de/10011735810
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Modelling catastrophe claims with left-truncated severity distributions (extended version)
Chernobai, Anna; Burnecki, Krzysztof; Rachev, Svetlozar; … - Volkswirtschaftliche Fakultät, … - 2005
In this paper, we present a procedure for consistent estimation of the severity and frequency distributions based on incomplete insurance data and demonstrate that ignoring the thresholds leads to a serious underestimation of the ruin probabilities. The event frequency is modelled with a...
Persistent link: https://www.econbiz.de/10005789976
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Cover Image
Modeling catastrophe claims with left-truncated severity distributions (extended version)
Chernobai, Anna; Burnecki, Krzysztof; Rachev, Svetlozar; … - Hugo Steinhaus Center for Stochastic Methods, … - 2005
In this paper, we present a procedure for consistent estimation of the severity and frequency distributions based on incomplete insurance data and demonstrate that ignoring the thresholds leads to a serious underestimation of the ruin probabilities. The event frequency is modelled with a...
Persistent link: https://www.econbiz.de/10009003621
Saved in:
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Robust income distribution estimation with missing data
Victoria-Feser, Maria-Pia - London School of Economics (LSE) - 2001
this paper, we propose a robust alternative to the ML estimator with truncated data, namely one based on M-estimators that …-robust estimators (OBRE) is compared to a more conservative approach based on marginal density (MD) for truncated data, and show that …
Persistent link: https://www.econbiz.de/10010928590
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Cover Image
Robust Income Distribution Estimation with Missing Data
Victoria-Feser, Maria-Pia - Suntory and Toyota International Centres for Economics … - 2001
this paper, we propose a robust alternative to the ML estimator with truncated data, namely one based on M-estimators that …-robust estimators (OBRE) is compared to a more conservative approach based on marginal density (MD) for truncated data, and show that …
Persistent link: https://www.econbiz.de/10005310320
Saved in:
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