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~person:"Sharma, Rajesh"
~subject:"ARMA model"
~subject:"Artificial intelligence"
~subject:"Forecasting model"
~subject:"Volatility"
~subject:"Volatilität"
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Search: subject_exact:"Neuronale Netze"
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generalised autoregressive conditionally heteroscedastic
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Sharma, Rajesh
Medeiros, Marcelo C.
12
Claveria, Oscar
11
Mettenheim, Hans-Jörg von
11
Nijkamp, Peter
11
Reggiani, Aura
11
Torra, Salvador
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9
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White, Halbert
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Xu, Xiaojie
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8
Teräsvirta, Timo
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7
Crone, Sven F.
7
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Karathanasopoulos, Andreas
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Kock, Anders Bredahl
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Yu, Lean
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Erel, Isil
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Jeong, Kiho
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McAleer, Michael
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Richman, Ronald
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Tan, Chenhao
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Weisbach, Michael S.
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Wüthrich, Mario V.
6
Zhang, G. Peter
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Abedin, Mohammad Zoynul
5
Baruník, Jozef
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Predicting company innovativeness by analysing the website data of firms : a comparison across different types of innovation
Sõna, Sander
;
Masso, Jaan
;
Sharma, Shakshi
;
Vahter, Priit
-
2022
Persistent link: https://www.econbiz.de/10013326494
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2
Predicting stock return and volatility with machine learning and econometric models: a comparative case study of the Baltic stock market
Nõu, Anders
;
Lapitskaya, Darya
;
Eratalay, M. Hakan
; …
-
2021
Persistent link: https://www.econbiz.de/10012694117
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3
Predicting stock return and volatility with machine learning and econometric models : a comparative case study of the Baltic stock market
Nõu, Anders
;
Lapitskaya, Darya
;
Eratalay, M. Hakan
; …
- In:
International journal of computational economics and …
13
(
2023
)
4
,
pp. 446-489
Persistent link: https://www.econbiz.de/10014439728
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