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  • Search: subject:"multivariate volatility forecasts"
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Year of publication
Subject
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multivariate volatility forecasts 2 ARCH model 1 ARCH-Modell 1 Analysis of variance 1 Correlation 1 Forecasting model 1 HAR 1 Korrelation 1 Multivariate Analyse 1 Multivariate analysis 1 Prognoseverfahren 1 Theorie 1 Theory 1 Varianzanalyse 1 Volatility 1 Volatilität 1 WAR 1 economic loss functions 1 model confidence set 1 multivariate realised volatility 1 portfolio optimisation 1 realized covariance 1 statistical loss functions 1 volatility forecast evaluation 1
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Online availability
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Free 2
Type of publication
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Book / Working Paper 2
Type of publication (narrower categories)
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Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1 Thesis 1 Working Paper 1
Language
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English 1 Undetermined 1
Author
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Bonato, Matteo 1 Caporin, Massimiliano 1 Doolan, Mark Bernard 1 Ranaldo, Angelo 1
Published in...
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Working papers on finance 1
Source
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BASE 1 ECONIS (ZBW) 1
Showing 1 - 2 of 2
Cover Image
Forecasting realized (co)variances with a block structure Wishart autoregressive model
Bonato, Matteo; Caporin, Massimiliano; Ranaldo, Angelo - 2012 - Current Draft: November 2008
The increased availability of high-frequency data provides new tools for forecasting of variances and covariances between assets. However, recent realized (co)variance models may suffer from a 'curse of dimensionality' problem similar to that of multivariate GARCH specifications. As a result,...
Persistent link: https://www.econbiz.de/10010407673
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Cover Image
Evaluating multivariate volatility forecasts : how effective are statistical and economic loss functions?
Doolan, Mark Bernard - 2011
Multivariate volatility forecasts are an important input in many financial applications, in particular portfolio … are at discriminating between competing multivariate volatility forecasts. An analytical investigation of the loss … between multivariate volatility forecasts, while portfolio utility cannot. An examination of the effective loss functions …
Persistent link: https://www.econbiz.de/10009438015
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