Robust Utility Optimization via a GAN Approach
By Florian Krach, Josef Teichmann, Hanna Wutte
Rating
1542
Battle Count: 221
Relevance
9/10
Highly relevant for developing robust trading strategies under uncertainty and with transaction costs
Implementation Complexity
7/10
Requires understanding of GANs and robust optimization, but code is provided
Reproducibility
4/5
Code available on GitHub, detailed experimental setup provided
About this paper
Methodology: GAN-based Robust Utility Optimization. Problem types: Portfolio Optimization, Risk Management.
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