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Description: Combine multiple machine learning models (e.g., decision trees, neural networks, SVMs) to improve the accuracy and robustness of hedging strategies.
Objectives:
Develop an ensemble of models to predict option prices and hedge ratios.
Test the ensemble approach on historical data.
Compare its performance with individual models.
Description: Combine multiple machine learning models (e.g., decision trees, neural networks, SVMs) to improve the accuracy and robustness of hedging strategies.
Objectives:
Develop an ensemble of models to predict option prices and hedge ratios.
Test the ensemble approach on historical data.
Compare its performance with individual models.
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 Machine & Deep Learning algorithm and python
What is your participant role?: GSSoC-2024 contributor
Can you add the label for GSSoC, i want to work on it
Thanks.
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