This project compares two hedging strategies in the presence of transaction costs:
- Delta Hedging (Black-Scholes-based)
- Deep Hedging (neural networks trained to minimise hedging risk)
The goal is to evaluate the performance of data-driven hedging under realistic market frictions.
src/: simulation and strategy codenotebooks/: result visualisations