Sparse DNNs with Improved Adversarial Robustness Y Guo*, C Zhang*, C Zhang, Y Chen NeurIPS, 2018 | 178 | 2018 |
Alpha Go Everywhere: Machine Learning and International Stock Returns D Choi, W Jiang, C Zhang Available at SSRN 3489679, 2023 | 32 | 2023 |
Cross-Impact of Order Flow Imbalance in Equity Markets R Cont, M Cucuringu, C Zhang Quantitative Finance 23 (10), 1373-1393, 2023 | 28* | 2023 |
Volatility Forecasting with Machine Learning and Intraday Commonality C Zhang*, Y Zhang*, M Cucuringu, Z Qian Journal of Financial Econometrics 22 (2), 492–530, 2023 | 28 | 2023 |
Tail-GAN: Learning to Simulate Tail Risk Scenarios R Cont, M Cucuringu, R Xu, C Zhang arXiv preprint arXiv:2203.01664, 2022 | 26* | 2022 |
A Universal End-to-End Approach to Portfolio Optimization via Deep Learning C Zhang*, Z Zhang*, M Cucuringu, S Zohren arXiv preprint arXiv:2111.09170, 2021 | 21 | 2021 |
Forecasting Realized Volatility with Spillover Effects: Perspectives from Graph Neural Networks C Zhang*, XS Pu*, M Cucuringu, X Dong Available at SSRN 4375165, 2023 | 18* | 2023 |
Graph-based Methods for Forecasting Realized Covariances C Zhang, XS Pu, M Cucuringu, X Dong Available at SSRN, 2022 | 6 | 2022 |
Cryptocurrency Volatility Forecasting Using Commonality in Intraday Volatility E Djanga, M Cucuringu, C Zhang Proceedings of the Fourth ACM International Conference on AI in Finance, 436-444, 2023 | 1 | 2023 |
Trading Volume Alpha R Goyenko, BT Kelly, TJ Moskowitz, Y Su, C Zhang Available at SSRN 4802345, 2024 | | 2024 |
A Similarity-based Approach to Covariance Forecasting Á Cartea, M Cucuringu, M Jennings, C Zhang Available at SSRN 4652980, 2023 | | 2023 |
Data-driven Methods for Simulation and Forecasting of Financial Time Series C Zhang DPhil thesis, University of Oxford, 2023 | | 2023 |