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~isPartOf:"Quantitative finance"
~subject:"Bayesian inference"
~subject:"Limit order book"
~subject:"Prognoseverfahren"
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Search: subject_exact:"Neuronale Netze"
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Bayesian inference
Limit order book
Prognoseverfahren
Neural networks
31
Neuronale Netze
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Quantitative finance
International journal of forecasting
74
Journal of forecasting
45
Computational economics
40
Risks : open access journal
26
Journal of risk and financial management : JRFM
25
European journal of operational research : EJOR
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Decision analytics journal
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International journal of production research
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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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Tourism economics : the business and finance of tourism and recreation
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Transportation research / E : an international journal
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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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International journal of economics and finance
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Advances in business and management forecasting
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Applications of artificial intelligence in finance and economics
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European research studies
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Finanzmarktanalyse und -prognose mit innovativen quantitativen Verfahren : Ergebnisse des 5. Karlsruher Ökonometrie-Workshops
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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
Physics-informed convolutional transformer for predicting volatility surface
Kim, Soohan
;
Yun, Seok-Bae
;
Bae, Hyeong-Ohk
;
Lee, Muhyun
; …
- In:
Quantitative finance
24
(
2024
)
2
,
pp. 203-220
Persistent link: https://www.econbiz.de/10014551964
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
A deep learning approach to estimating fill probabilities in a limit order book
Maglaras, Costis
;
Moallemi, Ciamac C.
;
Wang, Muye
- In:
Quantitative finance
22
(
2022
)
11
,
pp. 1989-2003
Persistent link: https://www.econbiz.de/10013490915
Saved in:
5
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:
6
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:
7
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:
8
Generative Bayesian neural network model for risk-neutral pricing of American index options
Jang, Huisu
;
Lee, Jaewook
- In:
Quantitative finance
19
(
2019
)
4
,
pp. 587-603
Persistent link: https://www.econbiz.de/10012194699
Saved in:
9
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
Saved in:
10
Learning multi-market microstructure from order book data
Ju, Geonhwan
;
Kim, Kyoung-Kuk
;
Lim, Dong-Young
- In:
Quantitative finance
19
(
2019
)
9
,
pp. 1517-1529
Persistent link: https://www.econbiz.de/10012194803
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