Description

Developed and implemented a comprehensive Capital Asset Pricing Model (CAPM) project, leveraging Python and machine learning techniques to analyze and predict asset pricing and market risks. Integrated historical financial data and market risk factors to enhance the accuracy of return predictions and risk assessments.

Deployed the CAPM application on Streamlit, creating an interactive and user-friendly interface for stakeholders. The deployment allows for seamless exploration and analysis of asset pricing and risk factors, providing valuable insights for informed decision-making in the financial domain.