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~isPartOf:"Applied economics"
~isPartOf:"Computational economics"
~isPartOf:"Discussion paper / Tinbergen Institute"
~isPartOf:"International journal of forecasting"
~isPartOf:"Journal of international money and finance"
~person:"Allen, David E."
~person:"Burns, Kelly"
~person:"Chen, Yi-Ting"
~person:"Gooijer, Jan G. de"
~person:"Rubaszek, Michał"
~subject:"Estimation"
~subject:"Nationaleinkommen"
~subject:"Prognoseverfahren"
~subject:"VAR-Modell"
~subject:"World"
~subject:"Zeitreihenanalyse"
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Indian Economic Outlook 2008-0...
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Allen, David E.
Burns, Kelly
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Gooijer, Jan G. de
Rubaszek, Michał
Koopman, Siem Jan
15
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12
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10
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9
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3
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ECONIS (ZBW)
14
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1
Asymmetries in conditional mean and variance : modelling stock returns by asMA-asQGARCH
Brännäs, Kurt
;
Gooijer, Jan G. de
-
2000
variancefunctions. In a genuine out-of-sample
forecasting
experiment theperformance of the best fitted asMA-asQGARCH model is compared … topure asMA and no-change forecasts. This is done both in terms ofconditional mean
forecasting
as well as in terms of risk …
forecasting
. …
Persistent link: https://www.econbiz.de/10011303289
Saved in:
2
Forecasting
using DSGE models with financial frictions
Kolasa, Marcin
;
Rubaszek, Michał
- In:
International journal of forecasting
31
(
2015
)
1
,
pp. 1-19
Persistent link: https://www.econbiz.de/10011327140
Saved in:
3
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:
4
Realized volatility risk
Allen, David E.
;
McAleer, Michael
;
Scharth, Marcel
-
2013
Persistent link: https://www.econbiz.de/10009784942
Saved in:
5
Asymmetric realized volatility risk
Allen, David E.
;
McAleer, Michael
;
Scharth, Marcel
-
2014
-
This version: June 2014
forecasting
errors in realized volatility are substantive. Even though returns standardized by ex post quadratic variation …
Persistent link: https://www.econbiz.de/10010366935
Saved in:
6
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:
7
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:
8
Exchange rate
forecasting
on a napkin
Ca'Zorzi, Michele
;
Rubaszek, Michał
- In:
Journal of international money and finance
104
(
2020
),
pp. 1-13
Persistent link: https://www.econbiz.de/10012395198
Saved in:
9
Semiparametric quantile averaging in the presence of high-dimensional predictors
Gooijer, Jan G. de
;
Zerom Godefay, Dawit
- In:
International journal of forecasting
35
(
2019
)
3
,
pp. 891-909
Persistent link: https://www.econbiz.de/10012305189
Saved in:
10
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:
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