Purroy Cànaves, Sergi2024-10-252024-10-252024-10-24https://hdl.handle.net/10115/40661Trabajo Fin de Grado leído en la Universidad Rey Juan Carlos en el curso académico 2024/2025. Directores/as: Juan Enrique Jiménez Fernández-VillamilThe main objective of this project is to explore the growing need to understand the key factors that drive market capitalisation in today's intricate financial environment. As data, technology and machine learning increasingly shape the financial sector, investors and analysts need more sophisticated tools to better understand the dynamics of successful investments. The project aims to connect conventional financial analysis with modern predictive modeling, establishing a robust framework for assessing the influence of financial indicators on a company's market value. Uhis provides investors valuable insights to inform investment strategies and decision-making.engmarket capitalizationfinancial indicatorsprincipal component analysismachine learningexploratory data analysisinvestmentfinancial predictionfinancial analysisBig Datalinear regressionclustering analysisunsupervised learningsupervised learningpredictive modelsinvestingR-StudioPredictive modelsFinancial modelinfo:eu-repo/semantics/studentThesisinfo:eu-repo/semantics/embargoedAccess