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~isPartOf:"Applied economics"
~isPartOf:"Computational economics"
~isPartOf:"Discussion paper / Tinbergen Institute"
~isPartOf:"Energy economics"
~isPartOf:"International journal of forecasting"
~isPartOf:"Technological forecasting & social change : an international journal"
~person:"Burns, Kelly"
~person:"Sbrana, Giacomo"
~subject:"Estimation theory"
~subject:"Nationaleinkommen"
~subject:"Prognoseverfahren"
~subject:"VAR-Modell"
~subject:"Welt"
~subject:"World"
~subject:"Zeitreihenanalyse"
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1
Short-term inflation
forecasting
: the M.E.T.A. approach
Sbrana, Giacomo
;
Silvestrini, Andrea
;
Venditti, Fabrizio
- In:
International journal of forecasting
33
(
2017
)
4
,
pp. 1065-1081
Persistent link: https://www.econbiz.de/10011746944
Saved in:
2
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:
3
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:
4
Error correction modelling and dynamic specifications as a conduit to outperforming the random walk in exchange rate
forecasting
Moosa, Imad A.
;
Burns, Kelly
- In:
Applied economics
46
(
2014
)
25/27
,
pp. 3107-3118
Persistent link: https://www.econbiz.de/10010418113
Saved in:
5
A reappraisal of the Meese-Rogoff puzzle
Moosa, Imad A.
;
Burns, Kelly
- In:
Applied economics
46
(
2014
)
1/3
,
pp. 30-40
Persistent link: https://www.econbiz.de/10010354125
Saved in:
6
The RWDAR model : a novel state-space approach to
forecasting
Sbrana, Giacomo
;
Silvestrini, Andrea
- In:
International journal of forecasting
39
(
2023
)
2
,
pp. 922-937
Persistent link: https://www.econbiz.de/10014465165
Saved in:
7
Random coefficient state-space model : estimation and performance in M3-M4 competitions
Sbrana, Giacomo
;
Silvestrini, Andrea
- In:
International journal of forecasting
38
(
2022
)
1
,
pp. 352-366
Persistent link: https://www.econbiz.de/10013347811
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