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Non-Linear Models: Where Do We...
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1
Forecasting
South African inflation using non-linearmodels : a weighted loss-based evaluation
Kanda, Patrick T.
;
Balcilar, Mehmet
;
Bahramian, Pejman
; …
- In:
Applied economics
48
(
2016
)
25/27
,
pp. 2412-2427
Persistent link: https://www.econbiz.de/10011591098
Saved in:
2
Forecasting
electricity spot prices using time-series models with a double temporal segmentation
Bessec, Marie
;
Fouquau, Julien
;
Meritet, Sophie
- In:
Applied economics
48
(
2016
)
4/6
,
pp. 361-378
Persistent link: https://www.econbiz.de/10011412836
Saved in:
3
Do commercial real estate prices have predictive content for GDP?
Franses, Philip Hans
;
Groot, Bert de
- In:
Applied economics
45
(
2013
)
31/33
,
pp. 4379-4384
Persistent link: https://www.econbiz.de/10011510560
Saved in:
4
Linear time-varying regression with a DCC-GARCH model for volatility
Kim, Jong-Min
;
Jung, Hojin
;
Qin, Li
- In:
Applied economics
48
(
2016
)
16/18
,
pp. 1573-1582
Persistent link: https://www.econbiz.de/10011456689
Saved in:
5
Would information on consumer confidence have helped to predict UK household expenditure during the recent economic crisis?
Gausden, Robert
;
Hasan, Mohammad S.
- In:
Applied economics
48
(
2016
)
16/18
,
pp. 1695-1709
Persistent link: https://www.econbiz.de/10011456726
Saved in:
6
Forecasting
Bordeaux wine prices using state-space methods
Bazen, Stephen
;
Cardebat, Jean-Marie
- In:
Applied economics
50
(
2018
)
47
,
pp. 5110-5121
Persistent link: https://www.econbiz.de/10012061692
Saved in:
7
The random walk as a
forecasting
benchmark : drift or no drift?
Moosa, Imad A.
;
Burns, Kelly
- In:
Applied economics
48
(
2016
)
43/45
,
pp. 4131-4142
Persistent link: https://www.econbiz.de/10011639995
Saved in:
8
Cointegration as an explanation for the Meese-Rogoff puzzle
Moosa, Imad A.
;
Vaz, John J.
- In:
Applied economics
48
(
2016
)
43/45
,
pp. 4201-4209
Persistent link: https://www.econbiz.de/10011640012
Saved in:
9
Forecasting
US consumer price index : does nonlinearity matter?
Álvarez-Díaz, Marcos
;
Gupta, Rangan
- In:
Applied economics
48
(
2016
)
46/48
,
pp. 4462-4475
Persistent link: https://www.econbiz.de/10011640110
Saved in:
10
Forecasting
Brazilian inflation by its aggregate and disaggregated data : a test of predictive power by forecast horizon
Carlo, Thiago Carlomagno
;
Marçal, Emerson Fernandes
- In:
Applied economics
48
(
2016
)
49/51
,
pp. 4846-4860
Persistent link: https://www.econbiz.de/10011641013
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