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subject:"Germany"
subject:"Risiko"
~isPartOf:"Computational economics"
~subject:"Financial market"
~subject:"Prognoseverfahren"
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Germany
Risiko
Financial market
Prognoseverfahren
Theorie
532
Theory
532
Forecasting model
85
Time series analysis
71
Zeitreihenanalyse
71
Portfolio selection
69
Portfolio-Management
69
Mathematical programming
67
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67
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64
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Avdoulas, Christos
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2
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2
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2
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1
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1
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Computational economics
Europäische Hochschulschriften / 5
820
International journal of forecasting
684
NBER working paper series
487
Gabler Edition Wissenschaft
478
Working paper / National Bureau of Economic Research, Inc.
464
SpringerLink / Bücher
460
Journal of forecasting
439
NBER Working Paper
432
European journal of operational research : EJOR
351
Discussion paper / Centre for Economic Policy Research
317
Insurance / Mathematics & economics
298
Economics letters
294
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272
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244
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225
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209
Journal of banking & finance
209
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206
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199
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189
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186
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186
Management science : journal of the Institute for Operations Research and the Management Sciences
181
Journal of econometrics
175
Lehrbuch
171
Journal of business & economic statistics : JBES ; a publication of the American Statistical Association
162
Journal of economic behavior & organization : JEBO
158
Applied economics
153
Finance research letters
153
Risks : open access journal
153
Journal of monetary economics
143
Discussion paper series / IZA
138
Energy economics
130
European economic review : EER
128
Journal of risk and uncertainty : JRU
128
Journal of empirical finance
127
Applied economics letters
120
Berichte aus der Betriebswirtschaft
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ECONIS (ZBW)
120
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1
A new neural network approach for predicting the volatility of stock market
Koo, Eunho
;
Kim, Geonwoo
- In:
Computational economics
61
(
2023
)
4
,
pp. 1665-1679
Persistent link: https://www.econbiz.de/10014327101
Saved in:
2
Reconstructing the emergent organization of information flows in international stock markets : a computational complex systems approach
Buscema, Massimo
;
Della Torre, Francesca
;
Massini, Giulia
; …
- In:
Computational economics
62
(
2023
)
1
,
pp. 49-89
Persistent link: https://www.econbiz.de/10014327224
Saved in:
3
Predict stock prices using supervised learning algorithms and particle swarm optimization algorithm
Bazrkar, Mohammad Javad
;
Hosseini, Soodeh
- In:
Computational economics
62
(
2023
)
1
,
pp. 165-186
Persistent link: https://www.econbiz.de/10014327292
Saved in:
4
Comparison of Value at Risk (VaR) multivariate forecast models
Müller, Fernanda Maria
;
Righi, Marcelo Brutti
- In:
Computational economics
63
(
2024
)
1
,
pp. 75-110
Persistent link: https://www.econbiz.de/10014471980
Saved in:
5
Bayesian inference for mixed Gaussian GARCH-type model by Hamiltonian Monte Carlo algorithm
Liang, Rubing
;
Qin, Binbin
;
Xia, Qiang
- In:
Computational economics
63
(
2024
)
1
,
pp. 193-220
Persistent link: https://www.econbiz.de/10014472071
Saved in:
6
Statistical evaluation of deep learning models for stock return forecasting
Yilmaz, Firat Melih
;
Yildiztepe, Engin
- In:
Computational economics
63
(
2024
)
1
,
pp. 221-244
Persistent link: https://www.econbiz.de/10014472083
Saved in:
7
Forecasting Value at Risk and expected shortfall of foreign exchange rate volatility of major African currencies via GARCH and dynamic conditional correlation analysis
Afuecheta, Emmanuel
;
Okorie, Idika E.
;
Nadarajah, Saralees
- In:
Computational economics
63
(
2024
)
1
,
pp. 271-304
Persistent link: https://www.econbiz.de/10014472109
Saved in:
8
Uncertainty optimization based feature selection model for stock marketing
Sinha, Arvind Kumar
;
Shende, Pradeep
- In:
Computational economics
63
(
2024
)
1
,
pp. 357-389
Persistent link: https://www.econbiz.de/10014472223
Saved in:
9
Stock price ranking by learning pairwise preferences
Tas, Engin
;
Atli, Ayca Hatice
- In:
Computational economics
63
(
2024
)
2
,
pp. 513-528
Persistent link: https://www.econbiz.de/10014472383
Saved in:
10
Predicting natural gas prices based on a novel hybrid model with variational mode decomposition
Lu, Qin
;
Liao, Jingwen
;
Chen, Kechi
;
Liang, Yanhui
;
Lin, Yu
- In:
Computational economics
63
(
2024
)
2
,
pp. 639-678
Persistent link: https://www.econbiz.de/10014472537
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