Narrow search
Showing 1 - 10 of 42
Cover Image
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
Cover Image
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
Cover Image
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
Cover Image
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
Cover Image
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
Cover Image
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
Cover Image
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
Cover Image
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
Cover Image
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
Cover Image
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