💡[FEATURE]: Portfolio Hedging using Generative Adversarial Networks (GANs)

[ranamanish674zu]

Description: Use GANs to generate realistic market scenarios and optimize hedging strategies under these simulated conditions.
Objectives:
Train GANs on historical market data to generate new market scenarios.
Develop hedging strategies that perform well across a wide range of generated scenarios.
Evaluate the robustness of these strategies in out-of-sample tests.

Can you assign it to me? @Akshat111111

Full name: Manish Rana
GitHub profile link: https://github.com/ranamanish674zu
Email ID: manish.rana2021@vitbhopal.ac.in
Approach for this project: Will use Generative Adversarial Networks (GANs) python
What is your participant role?: GSSoC-2024 contributor

Can you add the label for GSSoC, i want to work on it
Thanks.