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Quantitative finance
International journal of production research
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ECONIS (ZBW)
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1
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
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2
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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3
Can machine learning approaches predict corporate bankruptcy? : evidence from a qualitative experimental design
Lahmiri, Salim
;
Bekiros, Stelios
- In:
Quantitative finance
19
(
2019
)
9
,
pp. 1569-1577
Persistent link: https://www.econbiz.de/10012194807
Saved in:
4
Neural network-based automatic factor construction
Fang, Jie
;
Lin, Jianwu
;
Xia, Shutao
;
Xia, Zhikang
;
Hu, …
- In:
Quantitative finance
20
(
2020
)
12
,
pp. 2101-2114
Persistent link: https://www.econbiz.de/10012313587
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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
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6
Artificial neural network for option pricing with and without asymptotic correction
Funahashi, Hideharu
- In:
Quantitative finance
21
(
2021
)
4
,
pp. 575-592
Persistent link: https://www.econbiz.de/10012483840
Saved in:
7
Stock market prediction based on adaptive training algorithm in machine learning
Kim, Hongjoong
;
Jun, Sookyung
;
Moon, Kyoung-Sook
- In:
Quantitative finance
22
(
2022
)
6
,
pp. 1133-1152
Persistent link: https://www.econbiz.de/10013367889
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8
An unsupervised deep learning approach to solving partial integro-differential equations
Fu, Weilong
;
Hirsa, Ali
- In:
Quantitative finance
22
(
2022
)
8
,
pp. 1481-1494
Persistent link: https://www.econbiz.de/10013367923
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9
On parametric optimal execution and machine learning surrogates
Chen, Tao
;
Ludkovski, Mike
;
Voß, Moritz
- In:
Quantitative finance
24
(
2024
)
1
,
pp. 15-34
Persistent link: https://www.econbiz.de/10014551893
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10
A modified CTGAN-plus-features-based method for optimal asset allocation
Peña, José-Manuel
;
Suárez, Fernando
;
Larré, Omar
; …
- In:
Quantitative finance
24
(
2024
)
3/4
,
pp. 465-479
Persistent link: https://www.econbiz.de/10014552083
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