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~isPartOf:"Quantitative finance"
~subject:"Portfolio-Management"
~subject:"Prognoseverfahren"
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Search: subject_exact:"Neuronale Netze"
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Portfolio-Management
Prognoseverfahren
Neural networks
26
Neuronale Netze
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12
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Quantitative finance
International journal of forecasting
68
Journal of forecasting
46
Computational economics
37
Journal of risk and financial management : JRFM
24
Risks : open access journal
24
European journal of operational research : EJOR
19
International journal of production research
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Decision analytics journal
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Technological forecasting & social change : an international journal
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International journal of business information systems : IJBIS
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Intelligent systems in accounting finance and management : international journal
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International Journal of Energy Economics and Policy : IJEEP
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International journal of networking and virtual organisations : IJNVO
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Journal of the Operational Research Society
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Applied economics letters
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Cogent economics & finance
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Digital finance : smart data analytics, investment innovation, and financial technology
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Finanzmarktanalyse und -prognose mit innovativen quantitativen Verfahren : Ergebnisse des 5. Karlsruher Ökonometrie-Workshops
7
International review of financial analysis
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Investment management and financial innovations
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Journal of information & knowledge management : JIKM
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Tourism economics : the business and finance of tourism and recreation
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Advances in business and management forecasting
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1
A generative model of a limit order book using recurrent neural networks
Hultin, Hanna
;
Hult, Henrik
;
Proutiere, Alexandre
; …
- In:
Quantitative finance
23
(
2023
)
6
,
pp. 931-958
Persistent link: https://www.econbiz.de/10014304400
Saved in:
2
Learning a functional control for high-frequency finance
Leal, Laura
;
Lauriere, Mathieu
;
Lehalle, Charles-Albert
- In:
Quantitative finance
22
(
2022
)
11
,
pp. 1973-1987
Persistent link: https://www.econbiz.de/10013490928
Saved in:
3
Integrating prediction in mean-variance portfolio optimization
Butler, Andrew
;
Kwon, Roy H.
- In:
Quantitative finance
23
(
2023
)
3
,
pp. 429-452
Persistent link: https://www.econbiz.de/10014232664
Saved in:
4
What is the value of the cross-sectional approach to deep reinforcement learning?
Aboussalah, Amine Mohamed
;
Xu, Ziyun
;
Lee, Chi-Guhn
- In:
Quantitative finance
22
(
2022
)
6
,
pp. 1091-1111
Persistent link: https://www.econbiz.de/10013367887
Saved in:
5
Optimal asset allocation for outperforming a stochastic benchmark target
Ni, Chendi
;
Li, Yuying
;
Forsyth, Peter A.
;
Carroll, Ray
- In:
Quantitative finance
22
(
2022
)
9
,
pp. 1595-1626
Persistent link: https://www.econbiz.de/10013367937
Saved in:
6
Deep learning volatility : a deep neural network perspective on pricing and calibration in (rough) volatility models
Horvath, Blanka Nora
;
Muguruza, Aitor
;
Tomas, Mehdi
- In:
Quantitative finance
21
(
2021
)
1
,
pp. 11-27
Persistent link: https://www.econbiz.de/10012424629
Saved in:
7
A neural network enhanced volatility component model
Zhai, Jia
;
Cao, Yi
;
Liu, Xiaoquan
- In:
Quantitative finance
20
(
2020
)
5
,
pp. 783-797
Persistent link: https://www.econbiz.de/10012262620
Saved in:
8
Optimizing a portfolio of mean-reverting assets with transaction costs via a feedforward neural network
Mulvey, John M.
;
Sun, Yifan
;
Wang, Mengdi
;
Ye, Jing
- In:
Quantitative finance
20
(
2020
)
8
,
pp. 1239-1261
Persistent link: https://www.econbiz.de/10012262660
Saved in:
9
Bayesian regularized artificial neural networks for the estimation of the probability of default
Sariev, Eduard
;
Germano, Guido
- In:
Quantitative finance
20
(
2020
)
2
,
pp. 311-328
Persistent link: https://www.econbiz.de/10012194868
Saved in:
10
Encoding of high-frequency order information and prediction of short-term stock price by deep learning
Tashiro, Daigo
;
Matsushima, Hiroyasu
;
Izumi, Kiyoshi
; …
- In:
Quantitative finance
19
(
2019
)
9
,
pp. 1499-1506
Persistent link: https://www.econbiz.de/10012194801
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