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  • Search: subject:"mixed frequency VAR models"
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Year of publication
Subject
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Forecasting model 4 Frühindikator 4 Leading indicator 4 MIDAS models 4 Prognoseverfahren 4 VAR model 4 VAR-Modell 4 Forecasting 3 Density Forecasting 2 Electricity Prices 2 Electricity price 2 Forecast 2 GDP nowcast 2 Mixed-Frequency VAR models 2 Mixed-frequency VAR models 2 Prognose 2 Strompreis 2 Theorie 2 Theory 2 Time series analysis 2 Zeitreihenanalyse 2 consumption nowcast 2 investment nowcast 2 macroeconomic forecasting 2 mixed data sampling regressions 2 mixed-frequency VAR models 2 nowcasting 2 regimes 2 Aggregation 1 Austria 1 Bruttoinlandsprodukt 1 Density forecasting 1 Economic forecast 1 Electricity prices 1 Estimation 1 Euro area 1 Eurozone 1 Gross domestic product 1 MIDAS model 1 Modellierung 1
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Online availability
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Free 5 Undetermined 2 CC license 1
Type of publication
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Book / Working Paper 5 Article 2
Type of publication (narrower categories)
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Working Paper 5 Arbeitspapier 2 Article in journal 2 Aufsatz in Zeitschrift 2 Graue Literatur 2 Non-commercial literature 2
Language
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English 7
Author
All
Foroni, Claudia 5 Ravazzolo, Francesco 3 Rossini, Luca 3 Fortin, Ines 2 Hlouskova, Jaroslava 2 Marcellino, Massimiliano 2 Guérin, Pierre 1 Guérin, Pierre 1
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Published in...
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ECB Working Paper 1 Economic modelling 1 IHS Working Paper 1 IHS working paper 1 International journal of forecasting 1 Working Paper 1 Working paper series / European Central Bank 1
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Source
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ECONIS (ZBW) 4 EconStor 3
Showing 1 - 7 of 7
Cover Image
Regime-dependent nowcasting of the Austrian economy
Fortin, Ines; Hlouskova, Jaroslava - 2023
We nowcast and forecast Austrian economic activity, namely real gross domestic product (GDP), consumption and investment, which are available at a quarterly frequency. While nowcasting uses data up to (and including) the quarter to be predicted, forecasting uses only data up to the previous...
Persistent link: https://www.econbiz.de/10014436331
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Cover Image
Regime-dependent nowcasting of the Austrian economy
Fortin, Ines; Hlouskova, Jaroslava - 2023
We nowcast and forecast Austrian economic activity, namely real gross domestic product (GDP), consumption and investment, which are available at a quarterly frequency. While nowcasting uses data up to (and including) the quarter to be predicted, forecasting uses only data up to the previous...
Persistent link: https://www.econbiz.de/10014432187
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Cover Image
Are low frequency macroeconomic variables important for high frequency electricity prices?
Foroni, Claudia; Ravazzolo, Francesco; Rossini, Luca - In: Economic modelling 120 (2023), pp. 1-11
Persistent link: https://www.econbiz.de/10014384007
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Forecasting daily electricity prices with monthly macroeconomic variables
Foroni, Claudia; Ravazzolo, Francesco; Rossini, Luca - 2019
We analyse the importance of macroeconomic information, such as industrial production index and oil price, for forecasting daily electricity prices in two of the main European markets, Germany and Italy. We do that by means of mixed-frequency models, introducing a Bayesian approach to reverse...
Persistent link: https://www.econbiz.de/10012142094
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Cover Image
Forecasting daily electricity prices with monthly macroeconomic variables
Foroni, Claudia; Ravazzolo, Francesco; Rossini, Luca - 2019
We analyse the importance of macroeconomic information, such as industrial production index and oil price, for forecasting daily electricity prices in two of the main European markets, Germany and Italy. We do that by means of mixed-frequency models, introducing a Bayesian approach to reverse...
Persistent link: https://www.econbiz.de/10011987142
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Cover Image
Using Low Frequency Information for Predicting High Frequency Variables
Foroni, Claudia; Guérin, Pierre; Marcellino, Massimiliano - 2015
We analyze how to incorporate low frequency information in models for predicting high frequency variables. In doing so, we introduce a new model, the reverse unrestricted MIDAS (RU-MIDAS), which has a periodic structure but can be estimated by simple least squares methods and used to produce...
Persistent link: https://www.econbiz.de/10012143869
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Using low frequency information for predicting high frequency variables
Foroni, Claudia; Guérin, Pierre; Marcellino, Massimiliano - In: International journal of forecasting 34 (2018) 4, pp. 774-787
Persistent link: https://www.econbiz.de/10012031105
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