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~isPartOf:"Applied economics"
~isPartOf:"Computational economics"
~isPartOf:"Discussion paper / Tinbergen Institute"
~isPartOf:"International journal of forecasting"
~person:"Chen, Yi-Ting"
~person:"Gupta, Rangan"
~subject:"Nationaleinkommen"
~subject:"Prognoseverfahren"
~subject:"VAR-Modell"
~subject:"World"
~subject:"Zeitreihenanalyse"
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Indian Economic Outlook 2008-0...
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Nationaleinkommen
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forecasting
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Chen, Yi-Ting
Gupta, Rangan
Koopman, Siem Jan
15
McAleer, Michael
10
Moosa, Imad A.
10
Blasques, Francisco
5
Balcilar, Mehmet
4
Burns, Kelly
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Dijk, Dick van
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Marcellino, Massimiliano
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Ravazzolo, Francesco
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Asai, Manabu
3
Clements, Michael P.
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3
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Silvestrini, Andrea
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2
Ballini, Rosangela
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Bas, Eren
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Applied economics
Computational economics
Discussion paper / Tinbergen Institute
International journal of forecasting
Department of Economics working paper series
32
Journal of forecasting
8
Finance research letters
7
Energy economics
5
International review of finance : the official journal of the Asia Pacific Finance Association and the Nippon Finance Association
3
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3
The European journal of finance
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ECONIS (ZBW)
14
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1
Forecasting
volatility and co-volatility of crude oil and gold futures : effects of leverage, jumps, spillovers, and geopolitical risks
Asai, Manabu
;
Gupta, Rangan
;
McAleer, Michael
- In:
International journal of forecasting
36
(
2020
)
3
,
pp. 933-948
Persistent link: https://www.econbiz.de/10012497080
Saved in:
2
Forecasting
with second-order approximations and Markov-switching DSGE models
Ivashchenko, Sergey
;
Çekin, Semih Emre
;
Kotzé, Kevin
; …
- In:
Computational economics
56
(
2020
)
4
,
pp. 747-771
Persistent link: https://www.econbiz.de/10012390465
Saved in:
3
Machine learning with parallel neural networks for analyzing and
forecasting
electricity demand
Chen, Yi-Ting
;
Sun, Edward W.
;
Lin, Yi-Bing
- In:
Computational economics
56
(
2020
)
2
,
pp. 569-597
Persistent link: https://www.econbiz.de/10012272048
Saved in:
4
Forecasting
core inflation : the case of South Africa
Ruch, Franz
;
Balcilar, Mehmet
;
Gupta, Rangan
;
Modise, …
- In:
Applied economics
52
(
2020
)
28
,
pp. 3004-3022
Persistent link: https://www.econbiz.de/10012221472
Saved in:
5
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:
6
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:
7
Jump detection and noise separation by a singular wavelet method for predictive analytics of high-frequency data
Chen, Yi-Ting
;
Lai, Wan-Ni
;
Sun, Edward W.
- In:
Computational economics
54
(
2019
)
2
,
pp. 809-844
Persistent link: https://www.econbiz.de/10012134380
Saved in:
8
Forecasting
home sales in the four census regions and the aggregate US economy using singular spectrum analysis
Hassani, Hossein
;
Ghodsi, Zara
;
Gupta, Rangan
;
Segnon, …
- In:
Computational economics
49
(
2017
)
1
,
pp. 83-97
Persistent link: https://www.econbiz.de/10011751817
Saved in:
9
The out-of-sample
forecasting
performance of nonlinear models of regional housing prices in the US
Balcilar, Mehmet
;
Gupta, Rangan
;
Miller, Stephen M.
- In:
Applied economics
47
(
2015
)
22/24
,
pp. 2259-2277
Persistent link: https://www.econbiz.de/10010516653
Saved in:
10
Do we need a global VAR model to forecast inflation and output in South Africa?
Waal, Annari de
;
Van Eyden, Reneé
;
Gupta, Rangan
- In:
Applied economics
47
(
2015
)
25/27
,
pp. 2649-2670
Persistent link: https://www.econbiz.de/10010519635
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