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  1. Finance-with-big-data---PCLab-1 Finance-with-big-data---PCLab-1 Public

    In this simple project we were tasked with manipulating and visualizing portfolio data, create portfolios and compute basics statistics, draw the efficient frontier and find the best portfolio, and…

    Jupyter Notebook

  2. Finance-with-big-data---PCLab-2 Finance-with-big-data---PCLab-2 Public

    In this project we were tasked with manipulating and visualizing stock data, web-scrap market data, apply the CAPM theory to compute beta and alpha, and test the CAPM theory to see if the predictio…

    Jupyter Notebook

  3. Finance-with-big-data---PCLab-3 Finance-with-big-data---PCLab-3 Public

    In this project we were tasked with manipulating and visualizing financial tweets, cleaning text data, perform sentiment analysis on tweets, and creating a custom media-attention score to check for…

    Jupyter Notebook

  4. Finance-with-big-data---PCLab-4 Finance-with-big-data---PCLab-4 Public

    In this project we were tasked with manipulating and visualizing prices and volume of stocks, train a ML model to predict stocks' returns, and use the prediction to build a ML-driven portfolio

    Jupyter Notebook

  5. Finance-with-big-data---PCLab-5-Hackathon Finance-with-big-data---PCLab-5-Hackathon Public

    In this project we were tasked to NGOs' banks related campaigns using the Sigwatch dataset, and then to simulate the paper by Krueger "Corporate goodness and shareholder wealth" (2015).

    Jupyter Notebook

  6. Finance-with-big-data---PCLab-6 Finance-with-big-data---PCLab-6 Public

    In this project we were tasked with manipulating and visualizing balance sheet data, understanding which are the most important variables in determining a firm's credit score, and predicting credit…

    Jupyter Notebook