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Brent-Oil-VaR-with-Machine-Learning

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This repository contains the analysis and results of a study on the estimation of Value at Risk (VaR) for Brent crude oil. The analysis compares classical VaR methods with advanced Machine Learning models based on Quantile Regression, aiming to evaluate the risk associated with this highly volatile and globally significant commodity.

Creat2025-09-22T23:24:16
Update2025-09-23T07:37:11
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