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~institution:"European University Institute / Department of Economics"
~subject:"Capital income"
~subject:"Mathematische Optimierung"
~subject:"Portfolio-Management"
~subject:"Prognoseverfahren"
~subject:"USA"
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Capital income
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Lanne, Markku
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Marcellino, Massimiliano
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European University Institute / Department of Economics
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899
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50
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ECONIS (ZBW)
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Forecasting with VARMA models
Lütkepohl, Helmut
(
contributor
)
-
2004
-
[Elektronische Ressource]
Persistent link: https://www.econbiz.de/10002233744
Saved in:
2
Use and misuse of unobserved components in economic forecasting
Maravall Herrero, Agustín
-
1993
Persistent link: https://www.econbiz.de/10000865572
Saved in:
3
Forecasting macroeconomic variables using diffusion indexes in short samples with structural change
Banerjee, Anindya
(
contributor
); …
-
2008
Persistent link: https://www.econbiz.de/10003652053
Saved in:
4
Unobserved components in economic time series
Maravall Herrero, Agustín
-
1993
Persistent link: https://www.econbiz.de/10000889047
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5
Predicting excess returns in financial markets
Canova, Fabio
;
Marrinan, Jane Ellen
-
1993
Persistent link: https://www.econbiz.de/10000865568
Saved in:
6
Predicting the signs of forecast errors
Waldmann, Robert
-
1995
Persistent link: https://www.econbiz.de/10013420264
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7
Some reflections on trend-cycle decompositions with correlated components
Proietti, Tommaso
(
contributor
)
-
2002
-
[Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001725655
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8
Are there any reliable leading indicators for US inflation and GDP growth?
Banerjee, Anindya
(
contributor
); …
-
2002
-
[Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001725649
Saved in:
9
Forecasting euro-area variables with German pre-EMU data
Brüggemann, Ralf
(
contributor
); …
-
2006
Persistent link: https://www.econbiz.de/10003397952
Saved in:
10
Factor-MIDAS for now- and forecasting with ragged-edge data : a model comparison for German GDP
Marcellino, Massimiliano
(
contributor
); …
-
2008
Persistent link: https://www.econbiz.de/10003651975
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