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17,564
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3,945
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3,866
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3,849
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3,797
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2,903
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2,711
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2,675
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2,641
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2,513
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Gupta, Rangan
57
Woessmann, Ludger
43
Shleifer, Andrei
37
Bordo, Michael D.
29
Baumeister, Christiane
28
Ma, Feng
28
Galor, Oded
27
McAleer, Michael
25
Pesaran, M. Hashem
25
La Porta, Rafael
24
Pierdzioch, Christian
23
Djankov, Simeon
22
Kilian, Lutz
22
Wang, Yudong
20
Chinn, Menzie David
19
Hanushek, Eric Alan
18
Reinhart, Carmen M.
18
Eichengreen, Barry
17
Rogoff, Kenneth S.
17
Zaremba, Adam
17
Zhang, Yaojie
17
Prasada Rao, D. S.
16
Salisu, Afees A.
16
Timmer, Marcel
16
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15
Bouri, Elie
15
Deaton, Angus
15
Liang, Chao
15
Bloom, Nicholas
14
Cheung, Yin-Wong
14
Freeman, Richard B.
14
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14
López-de-Silanes, Florencio
14
Smith, L. Vanessa
14
Stevenson, Betsey
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Wolfers, Justin
14
Barro, Robert J.
13
Eickmeier, Sandra
13
Hamilton, James D.
13
Hasan, Iftekhar
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9
Bertelsmann Stiftung
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Deutsches Institut für Wirtschaftsforschung
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Österreichisches Institut für Wirtschaftsforschung
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Robert Schuman Centre for Advanced Studies
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2
BAK Basel Economics AG
2
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NBER working paper series
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Working paper / National Bureau of Economic Research, Inc.
119
NBER Working Paper
110
Energy economics
85
International journal of forecasting
82
Discussion paper / Centre for Economic Policy Research
63
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50
Finance research letters
44
Discussion paper series / IZA
43
Applied economics
42
Journal of forecasting
41
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Journal of international money and finance
38
Technological forecasting & social change : an international journal
36
IMF working papers
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Applied economics letters
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International review of financial analysis
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IZA Discussion Paper
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World Bank E-Library Archive
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ECONIS (ZBW)
6,854
EconStor
3
RePEc
3
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1
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1
Data size requirement for forecasting daily crude oil price with neural networks
Aras, Serkan
;
Hamdi, Manel
- In:
Scientific Annals of Economics and Business
66
(
2019
)
3
,
pp. 363-388
Persistent link: https://www.econbiz.de/10012405854
Saved in:
2
Model selection via genetic algorithms illustrated with cross-country growth data
Acosta-González, Eduardo
;
Fernández Rodríguez, Fernando
- In:
Empirical economics : a journal of the Institute for …
33
(
2007
)
2
,
pp. 313-337
Persistent link: https://www.econbiz.de/10003529586
Saved in:
3
A neural network categorization of stock markets
Roy, Jean
;
Suret, Jean-Marie
- In:
Selected international investment portfolios
,
(pp. 27-40)
.
1998
Persistent link: https://www.econbiz.de/10001472282
Saved in:
4
Modelling mobile technology growth using diffusion models and neural networks
Mukhopadhyay, Somnath
;
Bagchi, Kallol
;
Udo, Godwin J.
- In:
International journal of electronic business
7
(
2009
)
6
,
pp. 553-580
Persistent link: https://www.econbiz.de/10003916784
Saved in:
5
Applications in computational finance with a focus on approximation of financial time series by neurocomputing
Spreckelsen, Christian von
-
2014
Persistent link: https://www.econbiz.de/10010511665
Saved in:
6
A compressed sensing based AI learning paradigm for crude oil price forecasting
Yu, Lean
;
Zhao, Yang
;
Tang, Ling
- In:
Energy economics
46
(
2014
),
pp. 236-245
Persistent link: https://www.econbiz.de/10011298594
Saved in:
7
Modeling the Dry Bulk Shipping Market using macroeconomic factors in addition to shipping market parameters via artificial neural networks
Lyridis, Dimitrios V.
;
Manos, Nikolaos D.
; …
- In:
International journal of transport economics : IJTE
41
(
2014
)
2
,
pp. 231-253
Persistent link: https://www.econbiz.de/10010374496
Saved in:
8
The forecast for precious metal indexes and precious metal ETFs : an artificial neural network analysis
Do Thi Van Trang
- In:
International journal of bonds and derivatives
1
(
2015
)
3
,
pp. 237-272
Persistent link: https://www.econbiz.de/10011434917
Saved in:
9
Crude oil prices and kernel-based models
Panella, Massimo
;
D'Ecclesia, Rita L.
;
Stack, David G.
- In:
International journal of financial engineering and risk …
1
(
2014
)
3
,
pp. 214-238
Persistent link: https://www.econbiz.de/10010476935
Saved in:
10
Applications of artificial intelligence in finance and economics
Binner, Jane M.
(
ed.
);
Kendall, Graham
(
ed.
); …
-
2004
-
1. ed
Persistent link: https://www.econbiz.de/10002346905
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