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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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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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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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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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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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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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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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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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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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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