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1
Neural network copula portfolio optimization for exchange traded funds
Zhao, Yang
;
Stasinakis, Charalampos
;
Sermpinis, Georgios
; …
- In:
Quantitative finance
18
(
2018
)
5
,
pp. 761-775
Persistent link: https://www.econbiz.de/10011907933
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2
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
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3
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
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4
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 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
Deep neural network framework based on backward stochastic differential equations for pricing and hedging American options in high dimensions
Chen, Yangang
;
Wan, Justin W. L.
- In:
Quantitative finance
21
(
2021
)
1
,
pp. 45-67
Persistent link: https://www.econbiz.de/10012424632
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7
Deep learning-based least squares forward-backward stochastic differential equation solver for high-dimensional derivative pricing
Liang, Jian
;
Xu, Zhe
;
Li, Peter
- In:
Quantitative finance
21
(
2021
)
8
,
pp. 1309-1323
Persistent link: https://www.econbiz.de/10012608649
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8
A neural network approach to understanding implied volatility movements
Cao, Jay
;
Chen, Jacky
;
Hull, John
- In:
Quantitative finance
20
(
2020
)
9
,
pp. 1405-1413
Persistent link: https://www.econbiz.de/10012295608
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9
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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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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