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  • Search: subject:"Mixed-frequency modeling"
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Year of publication
Subject
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mixed-frequency modeling 4 Consumer price index 3 Forecasting model 3 Prognoseverfahren 3 Verbraucherpreisindex 3 Deutschland 2 Estimation 2 Germany 2 Inflation 2 Inflation nowcasting 2 Inflation rate 2 Inflationnowcasting 2 Inflationsrate 2 Mixed-frequency modeling 2 Schätzung 2 machine learning methods 2 machine learningmethods 2 scanner price data 2 scannerprice data 2 ARCH model 1 ARCH-Modell 1 Artificial intelligence 1 Börsenkurs 1 CPI inflation cycle 1 China 1 Dynamic factor model 1 Forecast 1 Index construction 1 Indexberechnung 1 Künstliche Intelligenz 1 Macro shocks 1 Nowcasting 1 Prognose 1 Schock 1 Share price 1 Shock 1 Theorie 1 Theory 1 Time series analysis 1 Time-distance weighting function 1
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Online availability
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Free 4 Undetermined 1
Type of publication
All
Book / Working Paper 4 Article 2
Type of publication (narrower categories)
All
Working Paper 4 Arbeitspapier 2 Article in journal 2 Aufsatz in Zeitschrift 2 Graue Literatur 2 Non-commercial literature 2
Language
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English 6
Author
All
Beck, Günter W. 4 Carstensen, Kai 4 Menz, Jan-Oliver 4 Schnorrenberger, Richard 4 Wieland, Elisabeth 4 Funke, Michael 1 Mehrotra, Aaron N. 1 Mei, Xueting 1 Wang, Xinyu 1 Yu, Hao 1
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Published in...
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Deutsche Bundesbank Discussion Paper 1 Discussion paper 1 ECB Working Paper 1 Empirical economics : a journal of the Institute for Advanced Studies, Vienna, Austria 1 Finance research letters 1 Working paper series / European Central Bank 1
Source
All
ECONIS (ZBW) 4 EconStor 2
Showing 1 - 6 of 6
Cover Image
Nowcasting consumer price inflation using high-frequency scanner data: Evidence from Germany
Beck, Günter W.; Carstensen, Kai; Menz, Jan-Oliver; … - 2024
We study how millions of granular and weekly household scanner data combined with machine learning can help to improve the real-time nowcast of German inflation. Our nowcasting exercise targets three hierarchy levels of inflation: individual products, product groups, and headline inflation. At...
Persistent link: https://www.econbiz.de/10014543640
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Cover Image
Nowcasting consumer price inflation using high-frequency scanner data : evidence from Germany
Beck, Günter W.; Carstensen, Kai; Menz, Jan-Oliver; … - 2024
We study how millions of granular and weekly household scanner data combined with machine learning can help to improve the real-time nowcast of German inflation. Our nowcasting exercise targets three hierarchy levels of inflation: individual products, product groups, and headline inflation. At...
Persistent link: https://www.econbiz.de/10014527067
Saved in:
Cover Image
Nowcasting consumer price inflation using high-frequency scanner data: Evidence from Germany
Beck, Günter W.; Carstensen, Kai; Menz, Jan-Oliver; … - 2023
these indices track their official counterparts extremely well. Within a mixed-frequency modeling framework, we also …
Persistent link: https://www.econbiz.de/10014470252
Saved in:
Cover Image
Nowcasting consumer price inflation using high-frequency scanner data : evidence from Germany
Beck, Günter W.; Carstensen, Kai; Menz, Jan-Oliver; … - 2023
these indices track their official counterparts extremely well. Within a mixed-frequency modeling framework, we also …
Persistent link: https://www.econbiz.de/10014467924
Saved in:
Cover Image
Forecasting stock volatility using time-distance weighting fundamental’s shocks
Mei, Xueting; Wang, Xinyu - In: Finance research letters 65 (2024), pp. 1-10
Persistent link: https://www.econbiz.de/10014564298
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Cover Image
Tracking Chinese CPI inflation in real time
Funke, Michael; Mehrotra, Aaron N.; Yu, Hao - In: Empirical economics : a journal of the Institute for … 48 (2015) 4, pp. 1619-1641
Persistent link: https://www.econbiz.de/10011300691
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