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Forecasting model
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International journal of forecasting
Journal of econometrics
15
cemmap working paper
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ECONIS (ZBW)
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1
Sparse estimation of dynamic principal components for forecasting high-dimensional time series
Peña, Daniel
;
Smucler, Ezequiel
;
Yohai, Victor J.
- In:
International journal of forecasting
37
(
2021
)
4
,
pp. 1498-1508
Persistent link: https://www.econbiz.de/10013274304
Saved in:
2
Multivariate volatility forecasts for stock market indices
Wilms, Ines
;
Rombouts, Jeroen V. K.
;
Croux, Christophe
- In:
International journal of forecasting
37
(
2021
)
2
,
pp. 484-499
Persistent link: https://www.econbiz.de/10012792845
Saved in:
3
Sparse structures with
LASSO
through principal components : forecasting GDP components in the short-run
Jokubaitis, Saulius
;
Celov, Dmitrij
;
Leipus, Remigijus
- In:
International journal of forecasting
37
(
2021
)
2
,
pp. 759-776
Persistent link: https://www.econbiz.de/10012792868
Saved in:
4
Quantile forecasting with mixed-frequency data
Lima, Luiz Renato
;
Meng, Fanning
;
Godeiro, Lucas
- In:
International journal of forecasting
36
(
2020
)
3
,
pp. 1149-1162
Persistent link: https://www.econbiz.de/10012498564
Saved in:
5
A novel cluster HAR-type model for forecasting realized volatility
Yao, Xingzhi
;
Izzeldin, Marwan
;
Li, Zhenxiong
- In:
International journal of forecasting
35
(
2019
)
4
,
pp. 1318-1331
Persistent link: https://www.econbiz.de/10012305326
Saved in:
6
Understanding intraday electricity markets : variable selection and very short-term price forecasting using
LASSO
Uniejewski, Bartosz
;
Marcjasz, Grzegorz
;
Weron, Rafał
- In:
International journal of forecasting
35
(
2019
)
4
,
pp. 1533-1547
Persistent link: https://www.econbiz.de/10012305384
Saved in:
7
Machine learning for regularized survey forecast combination : partially-egalitarian
LASSO
and its derivatives
Diebold, Francis X.
;
Shin, Minchul
- In:
International journal of forecasting
35
(
2019
)
4
,
pp. 1679-1691
Persistent link: https://www.econbiz.de/10012305515
Saved in:
8
Google data in bridge equation models for German GDP
Götz, Thomas B.
;
Knetsch, Thomas A.
- In:
International journal of forecasting
35
(
2019
)
1
,
pp. 45-66
Persistent link: https://www.econbiz.de/10012300574
Saved in:
9
Forecasting U.S. money growth using economic uncertainty measures and regularisation techniques
Tarassow, Artur
- In:
International journal of forecasting
35
(
2019
)
2
,
pp. 443-457
Persistent link: https://www.econbiz.de/10012300681
Saved in:
10
Macroeconomic forecasting using penalized regression methods
Smeekes, Stephan
;
Wijler, Etienne
- In:
International journal of forecasting
34
(
2018
)
3
,
pp. 408-430
Persistent link: https://www.econbiz.de/10012030998
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