Implementation of the vanilla Deep Hedging engine
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Updated
Apr 24, 2023 - Jupyter Notebook
Implementation of the vanilla Deep Hedging engine
A curated list of resources dedicated to Deep Hedging
Coding assignments of the "Machine Learning in Finance & Insurance" course at ETH Zürich (Fall 2024).
A package to learn optimal hedges by a deep feed forward neural network, to minimise the terminal error
Deep Hedging under market frictions.
LightGBM-based hedging strategy under Merton's jump diffusion with custom loss and delta approximation
Deep Hedging neural network for dynamically pricing and managing derivatives risk under realistic market frictions
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