University of Data Science and Artificial Intelligence - PUC-SP - 2nd Semester/2024
Bovespa.Banks.Value.Analysis.Presentation.by.Fabiana.Campanari.mp4
This repository analyzes the distribution of wealth among Brazilian banks, highlighting the disparities between national and foreign institutions. The presentation was developed by Fabiana 🚀 Campanari for the course of Statistics and Probability in the Data Science and Artificial Intelligence program at PUC-SP, under the supervision of Professor Eric Bacconi Gonçalves
- Presentation Overview
- Analysis of Value Added and Its Distribution in Bovespa Banks
- Objective of the Study
- Methodology
- Key Findings
- Conclusions
- Usage Instructions
- Future Work
- Acknowledgments
- Contact Information
Created by Fabiana Campanari, this project includes a complete video presentation for a Statistics course. In this project, I assumed the roles of art direction, design, and sound remixing 🎶. The focus of the analysis is on the Value Added and Its Distribution in Bovespa Banks.
Statistics need not be tedious. I transformed data into a visual and auditory narrative that captivated the class's attention. The presentation team was responsible for delivering the content, utilizing my video alongside supplementary materials in PowerPoint and PDF formats.
This repository presents an in-depth examination of how Brazilian banks created and distributed value, focusing specifically on their wealth distribution practices. By employing the Demonstration of Value Added (DVA) and statistical methods such as ANOVA, we analyzed the differences in value creation and distribution among national and foreign banks listed on BOVESPA.
The project encompasses a presentation video and supplementary materials, including PowerPoint slides and a detailed PDF report, all designed to engage and inform audiences about significant disparities in wealth allocation among these financial institutions. By translating complex data into a clear and compelling narrative, we aim to illuminate the economic impact and responsibilities of banks in Brazil.
The study investigates how Brazilian banks generated and distributed wealth, focusing on the division of value among employees, government, financiers, and shareholders.
The research employed the Demonstration of Value Added (DVA) and ANOVA analysis to compare value distribution practices among national and foreign banks. A total of 28 banks listed on BOVESPA were analyzed, categorized into groups to facilitate a thorough examination.
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Differences between National and Foreign Banks:
- Foreign banks exhibit distinct differences from national banks concerning value added and compensation policies.
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Concentration of Value Added:
- Itaú, Banco do Brasil, Bradesco, and Santander collectively accounted for 85% of the total value added.
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Distribution Policies:
- Santander and HSBC demonstrate differing practices, particularly in employee compensation and taxes paid to the government.
- Despite differing ownership structures, Itaú (private) and Banco do Brasil (public) display similarities in their value distribution practices.
This study highlights the unequal distribution of value, particularly between foreign and national banks. The Demonstration of Value Added (DVA) serves as a crucial tool for analyzing corporate accountability and the economic impact of banking institutions.
To use the supplementary materials:
- Clone the repository.
- Open the PowerPoint presentation using Microsoft PowerPoint or compatible software.
- View the video presentation using a media player of your choice.
Future analyses could include:
- Expanding the study to cover more recent years.
- Comparing the findings with other financial sectors.
- Utilizing machine learning techniques for more in-depth data analysis.
Special thanks to Professor Eric Bacconi Gonçalves for his guidance and support throughout this project.
For any questions, suggestions, or collaborations, feel free to reach out:
Fabiana Campanari 🚀 Contacts Hub
Fabiana Campanari 🛰️ email
You can watch the presentation video also on You Tube
Copyright 2024 Quantum Software Development. Code released under the MIT license.