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  1. VaR_Using_Monte_Carlo_simulations_and_variance_covariance_method VaR_Using_Monte_Carlo_simulations_and_variance_covariance_method Public

    In this model, we have calculated 1 day VaR using Monte carlo simulations and variance-covaraince method for a 4 stock portfolio.

    Jupyter Notebook 3 1

  2. Stock_Portfolio_Risk_Analysis Stock_Portfolio_Risk_Analysis Public

    Risk analysis of a stock portfolio using Python metrics like Sharpe Ratio, VaR, etc.

    Jupyter Notebook

  3. BAC-Stock-Predictive-Analysis-using-Linear-Regression BAC-Stock-Predictive-Analysis-using-Linear-Regression Public

    This repository contains a predictive modeling project focused on forecasting Bank of America's (BAC) stock prices using linear regression. It includes data preprocessing, feature engineering (incl…

  4. Citi-Bank-Stock-Price-Prediction-Using-Machine-Learning- Citi-Bank-Stock-Price-Prediction-Using-Machine-Learning- Public

    A machine learning project predicting Citi Bank’s stock price using financial and macroeconomic data.

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  5. Volatility-modeling-of-Apple-stock Volatility-modeling-of-Apple-stock Public

    Built ARCH(1) and GARCH(1,1) models to forecast financial market volatility, compare predicted vs. realized 5-day rolling volatility, and visualize volatility clustering for risk analysis.

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  6. ML-based-yield-curve-modelling ML-based-yield-curve-modelling Public

    Machine learning project that models and forecasts the U.S. Treasury yield curve using real FRED data. Combines Gaussian Process Regression for smooth yield curve fitting and Random Forests for nex…