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subject:"United States"
~isPartOf:"International journal of forecasting"
~person:"Foroni, Claudia"
~person:"Kolassa, Stephan"
~person:"Ord, John Keith"
~person:"Reade, J. James"
~person:"Ruiz, Esther"
~person:"Willemain, Thomas R."
~subject:"Efficient market hypothesis"
~subject:"Forecasting model"
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United States
Efficient market hypothesis
Forecasting model
Theorie
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30
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29
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5
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Foroni, Claudia
Kolassa, Stephan
Ord, John Keith
Reade, J. James
Ruiz, Esther
Willemain, Thomas R.
Makridakis, Spyros G.
20
Hyndman, Rob J.
13
Armstrong, Jon Scott
9
Assimakopoulos, V.
9
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9
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9
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9
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8
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8
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8
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8
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7
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7
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7
Timmermann, Allan
7
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6
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6
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6
Thomakos, Dimitrios D.
6
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5
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5
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5
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4
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4
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4
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4
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International journal of forecasting
Working paper / Department of Econometrics and Business Statistics, Monash University
5
Working paper series / European Central Bank
3
Discussion paper / Centre for Economic Policy Research
2
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2
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2
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ECONIS (ZBW)
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1
Forecasting : theory and practice
Petropoulos, Fotios
;
Apiletti, Daniele
;
Assimakopoulos, V.
- In:
International journal of forecasting
38
(
2022
)
3
,
pp. 705-871
Persistent link: https://www.econbiz.de/10013349395
Saved in:
2
The uncertainty track : machine learning, statistical modeling, synthesis
Ord, John Keith
- In:
International journal of forecasting
38
(
2022
)
4
,
pp. 1526-1530
Persistent link: https://www.econbiz.de/10014381150
Saved in:
3
Commentary on the M5 forecasting competition
Kolassa, Stephan
- In:
International journal of forecasting
38
(
2022
)
4
,
pp. 1562-1568
Persistent link: https://www.econbiz.de/10014381166
Saved in:
4
Factor extraction using Kalman filter and smoothing : this is not just another survey
Poncela, Pilar
;
Ruiz, Esther
;
Miranda, Karen
- In:
International journal of forecasting
37
(
2021
)
4
,
pp. 1399-1425
Persistent link: https://www.econbiz.de/10013274284
Saved in:
5
Why the "best" point forecast depends on the error or accuracy measure
Kolassa, Stephan
- In:
International journal of forecasting
36
(
2020
)
1
,
pp. 208-211
Persistent link: https://www.econbiz.de/10012414567
Saved in:
6
Polls to probabilities : comparing prediction markets and opinion polls
Reade, J. James
;
Vaughan Williams, Leighton
- In:
International journal of forecasting
35
(
2019
)
1
,
pp. 336-350
Persistent link: https://www.econbiz.de/10012300651
Saved in:
7
When are prediction market prices most informative?
Brown, Alasdair
;
Reade, J. James
;
Vaughan Williams, Leighton
- In:
International journal of forecasting
35
(
2019
)
1
,
pp. 420-428
Persistent link: https://www.econbiz.de/10012300667
Saved in:
8
MGARCH models: trade-off between feasibility and flexibility
Almeida, Daniel de
;
Hotta, Luiz K.
;
Ruiz, Esther
- In:
International journal of forecasting
34
(
2018
)
1
,
pp. 45-63
Persistent link: https://www.econbiz.de/10012030840
Saved in:
9
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
Saved in:
10
Threshold stochastic volatility : properties and forecasting
Mao, Xiuping
;
Ruiz, Esther
;
Veiga, Helena
- In:
International journal of forecasting
33
(
2017
)
4
,
pp. 1105-1123
Persistent link: https://www.econbiz.de/10011746949
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