AFMF Master Case Study: Machine Learning-Based Financial Simulation and Volatility Modelling (Alba & Alcoa)

This deposit contains all files used in the AFMF Master Case Study on financial ratios and simulation and volatility modeling, focusing on Alba and Alcoa. Included are: Machine learning simulation notebooks and code (.ipynb) Random Forest model file (.pkl) Supporting Excel data for ROA, ROE, SD, mean calculations Full case study manuscript in PDF format A structured README explaining the project files The case study applies the Alaali Financial Models Framework (AFMF) to capital structure and earnings volatility in ESG-sensitive industries.