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Forecasting model
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Newbold, Paul
17
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13
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10
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7
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3
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2
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1
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1
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1
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1
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1
Artificial neural networks
Kuan, Chung-ming
(
contributor
)
-
2006
Persistent link: https://www.econbiz.de/10003371580
Saved in:
2
Forecasting euro area aggregates with Bayesian VAR and VECM models
Félix, Ricardo Mourinho
;
Nunes, Luis C.
-
2003
Persistent link: https://www.econbiz.de/10001739196
Saved in:
3
Forecasting exchange rates using feedforward and recurrent neural networks
Kuan, Chung-ming
;
Liu, Tung
-
1993
-
Rev
Persistent link: https://www.econbiz.de/10000911654
Saved in:
4
Forecasting exchange rates using feedforward and recurrent neural networks
Kuan, Chung-ming
- In:
Journal of applied econometrics
10
(
1995
)
4
,
pp. 347-364
Persistent link: https://www.econbiz.de/10001189127
Saved in:
5
Forecasting exchange rates using feedforward and recurrent neural networks
Kuan, Chung-ming
;
Liu, Tung
-
1994
-
2. rev
Persistent link: https://www.econbiz.de/10000891688
Saved in:
6
Special section: Forecasting with artificial neural networks and computational intelligence
Crone, Sven F.
(
contributor
); …
- In:
International journal of forecasting
27
(
2011
)
3
,
pp. 633-816
Persistent link: https://www.econbiz.de/10009248258
Saved in:
7
Testing the predictive ability of technical analysis using a new stepwise test without data snooping bias
Hsu, Po-hsuan
;
Hsu, Yu-Chin
;
Kuan, Chung-ming
- In:
Journal of empirical finance
17
(
2010
)
3
,
pp. 471-484
Persistent link: https://www.econbiz.de/10009267287
Saved in:
8
Testing the predictive power of the term structure without data snooping bias
Kao, Yi-cheng
;
Kuan, Chung-ming
;
Chen, Shikuan
- In:
Economics letters
121
(
2013
)
3
,
pp. 546-549
Persistent link: https://www.econbiz.de/10010394211
Saved in:
9
Improved HAC covariance matrix estimation based on forecast errors
Kuan, Chung-ming
(
contributor
);
Hsieh, Yu-wei
(
contributor
)
-
2006
Persistent link: https://www.econbiz.de/10003371590
Saved in:
10
Economic prediction with the FOMC minutes : an application of text mining
Huang, Yu-lieh
;
Kuan, Chung-ming
- In:
International review of economics & finance : IREF
71
(
2021
),
pp. 751-761
Persistent link: https://www.econbiz.de/10012630697
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