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subject:"Portfolio-Management"
subject:"United States"
~isPartOf:"Applied economics"
~isPartOf:"Journal of forecasting"
~language:"afr"
~language:"eng"
~person:"Gupta, Rangan"
~person:"Taylor, James W."
~subject:"Estimation theory"
~subject:"Hurst exponent"
~subject:"Mathematische Optimierung"
~type_genre:"Article in journal"
~type_genre:"Collection of articles written by one author"
~type_genre:"Hochschulschrift"
~type_genre:"Multi-volume publication"
~type_genre:"Systematic review"
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Portfolio-Management
United States
Estimation theory
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Mathematische Optimierung
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14
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9
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9
forecasting
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Gupta, Rangan
Taylor, James W.
Fabozzi, Frank J.
4
Johnson, Paul A.
3
Li, Daye
3
McAleer, Michael
3
Ravishanker, Nalini
3
Sengupta, Jati K.
3
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Applied economics
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1
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ECONIS (ZBW)
6
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1
Forecasting key US macroeconomic variables with a factor‐augmented Qual VAR
Gupta, Rangan
;
Olson, Eric
;
Wohar, Mark E.
- In:
Journal of forecasting
36
(
2017
)
6
,
pp. 640-650
Persistent link: https://www.econbiz.de/10011861401
Saved in:
2
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:
3
US inflation dynamics on long-range data
Plakandaras, Vasilios
;
Gkonkas, Periklēs
;
Gupta, Rangan
; …
- In:
Applied economics
47
(
2015
)
34/36
,
pp. 3874-3890
Persistent link: https://www.econbiz.de/10011294308
Saved in:
4
Forecasting house prices for the four census regions and the aggregate US economy in a data-rich environment
Gupta, Rangan
- In:
Applied economics
45
(
2013
)
31/33
,
pp. 4677-4697
Persistent link: https://www.econbiz.de/10010225005
Saved in:
5
A quantile regression neural network approach to estimating the conditional density of multiperiod returns
Taylor, James W.
- In:
Journal of forecasting
19
(
2000
)
4
,
pp. 299-311
Persistent link: https://www.econbiz.de/10001504631
Saved in:
6
Evaluating volatility and interval forecasts
Taylor, James W.
- In:
Journal of forecasting
18
(
1999
)
2
,
pp. 111-128
Persistent link: https://www.econbiz.de/10001368220
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