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STUDY OF THE IMPACT OF FINANCIAL INDICATORS ON MARKET CAPITALIZATION THROUGH ADVANCED STATISTICAL MODELLING

dc.contributor.authorPurroy Cànaves, Sergi
dc.date.accessioned2024-10-25T08:00:02Z
dc.date.available2024-10-25T08:00:02Z
dc.date.issued2024-10-24
dc.identifier.urihttps://hdl.handle.net/10115/40661
dc.descriptionTrabajo Fin de Grado leído en la Universidad Rey Juan Carlos en el curso académico 2024/2025. Directores/as: Juan Enrique Jiménez Fernández-Villamil
dc.description.abstractThe 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.
dc.language.isoeng
dc.publisherUniversidad Rey Juan Carlos
dc.rights
dc.rights.uri
dc.subjectmarket capitalization
dc.subjectfinancial indicators
dc.subjectprincipal component analysis
dc.subjectmachine learning
dc.subjectexploratory data analysis
dc.subjectinvestment
dc.subjectfinancial prediction
dc.subjectfinancial analysis
dc.subjectBig Data
dc.subjectlinear regression
dc.subjectclustering analysis
dc.subjectunsupervised learning
dc.subjectsupervised learning
dc.subjectpredictive models
dc.subjectinvesting
dc.subjectR-Studio
dc.subjectPredictive models
dc.subjectFinancial model
dc.titleSTUDY OF THE IMPACT OF FINANCIAL INDICATORS ON MARKET CAPITALIZATION THROUGH ADVANCED STATISTICAL MODELLING
dc.typeinfo:eu-repo/semantics/studentThesis
dc.rights.accessRightsinfo:eu-repo/semantics/embargoedAccess


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