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~accessRights:"restricted"
~isPartOf:"Applied economics"
~isPartOf:"Computational economics"
~isPartOf:"Discussion paper / Tinbergen Institute"
~isPartOf:"International journal of forecasting"
~person:"Burns, Kelly"
~person:"Chen, Yi-Ting"
~person:"Jung, Hojin"
~person:"Nikolopoulos, Konstantinos"
~person:"Rubaszek, Michał"
~subject:"Canada"
~subject:"Nationaleinkommen"
~subject:"Prognoseverfahren"
~subject:"VAR-Modell"
~subject:"World"
~subject:"Zeitreihenanalyse"
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1
Forecasting
crude oil prices with DSGE models
Rubaszek, Michał
- In:
International journal of forecasting
37
(
2021
)
2
,
pp. 531-546
Persistent link: https://www.econbiz.de/10012792850
Saved in:
2
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:
3
Does the foreign sector help forecast domestic variables in DSGE models?
Kolasa, Marcin
;
Rubaszek, Michał
- In:
International journal of forecasting
34
(
2018
)
4
,
pp. 809-821
Persistent link: https://www.econbiz.de/10012031114
Saved in:
4
Tales from tails : on the empirical distributions of
forecasting
errors and their implication to risk
Spiliotis, Evangelos
;
Nikolopoulos, Konstantinos
; …
- In:
International journal of forecasting
35
(
2019
)
2
,
pp. 687-698
Persistent link: https://www.econbiz.de/10012300716
Saved in:
5
Demystifying the Meese-Rogoff puzzle : structural breaks or measures of
forecasting
accuracy?
Burns, Kelly
;
Moosa, Imad A.
- In:
Applied economics
49
(
2017
)
48
,
pp. 4897-4910
Persistent link: https://www.econbiz.de/10011844813
Saved in:
6
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:
7
Predicting bid prices by using machine learning methods
Kim, Jong-Min
;
Jung, Hojin
- In:
Applied economics
51
(
2019
)
19
,
pp. 2011-2018
Persistent link: https://www.econbiz.de/10012196635
Saved in:
8
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:
9
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:
10
Fathoming empirical
forecasting
competitions' winners
Alroomi, Azzam
;
Karamatzanis, Georgios
;
Nikolopoulos, …
- In:
International journal of forecasting
38
(
2022
)
4
,
pp. 1519-1525
Persistent link: https://www.econbiz.de/10014381148
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