292 citations · 466 across the 8 of their papers we have counts for
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q-fin.PM2021★ 1 cited
A Universal End-to-End Approach to Portfolio Optimization via Deep Learning
Chao Zhang, Zihao Zhang, Mihai Cucuringu +1
We propose a universal end-to-end framework for portfolio optimization where asset distributions are directly obtained. The designed framework circumvents the traditional forecasti…
q-fin.PM2020★ 150 cited
Deep Learning for Portfolio Optimization
Zihao Zhang, Stefan Zohren, Stephen Roberts
We adopt deep learning models to directly optimise the portfolio Sharpe ratio. The framework we present circumvents the requirements for forecasting expected returns and allows us…