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Option hedging using LSTM-RNN : an empirical analysis
Zhang, Junhuan
;
Huang, Wenjun
- In:
Quantitative finance
21
(
2021
)
10
,
pp. 1753-1772
Persistent link: https://www.econbiz.de/10012653710
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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
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3
Equal risk pricing of derivatives with deep hedging
Carbonneau, Alexandre
;
Godin, Frédéric
- In:
Quantitative finance
21
(
2021
)
4
,
pp. 593-608
Persistent link: https://www.econbiz.de/10012483841
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Accelerated share repurchase and other buyback programs : what neural networks can bring
Guéant, Olivier
;
Manziuk, Iuliia
;
Pu, Jiang
- In:
Quantitative finance
20
(
2020
)
8
,
pp. 1389-1404
Persistent link: https://www.econbiz.de/10012262692
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5
Deep learning for ranking response surfaces with applications to optimal stopping problems
Hu, Ruimeng
- In:
Quantitative finance
20
(
2020
)
9
,
pp. 1567-1581
Persistent link: https://www.econbiz.de/10012295624
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Deep learning for limit order books
Sirignano, Justin A.
- In:
Quantitative finance
19
(
2019
)
4
,
pp. 549-570
Persistent link: https://www.econbiz.de/10012194696
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Enhancing the momentum strategy through deep regression
Kim, Saejoon
- In:
Quantitative finance
19
(
2019
)
7
,
pp. 1121-1133
Persistent link: https://www.econbiz.de/10012194747
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8
Universal features of price formation in financial markets : perspectives from deep learning
Sirignano, Justin
;
Cont, Rama
- In:
Quantitative finance
19
(
2019
)
9
,
pp. 1449-1459
Persistent link: https://www.econbiz.de/10012194797
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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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10
Index tracking through deep latent representation learning
Kim, Saejoon
;
Kim, Soong
- In:
Quantitative finance
20
(
2020
)
4
,
pp. 639-652
Persistent link: https://www.econbiz.de/10012194911
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