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https://github.com/quantum-software-development/bovespa-banks-value-analysis

This repository analyzes wealth distribution among Brazilian banks, highlighting disparities between national and foreign institutions.
https://github.com/quantum-software-development/bovespa-banks-value-analysis

anova-test art-direction artificial-intelligence data-science design python3 sound-design sounds-remix statics-measures statistical-analysis statistics video-creator

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This repository analyzes wealth distribution among Brazilian banks, highlighting disparities between national and foreign institutions.

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README 

        




 \[[🇧🇷 Português](README.pt_BR.md)\] \[**[🇺🇸 English](README.md)**\]



 



     



  # 
 🏦 Bovespa Banks Value Analysis

  #### 
 [University of Data Science and Artificial Intelligence]() - PUC-SP - 2nd Semester/2024




  



https://github.com/user-attachments/assets/a5be1c12-73c1-4515-869b-9adf116f1d73



#### 
 📺 For better resolution, watch the video on [YouTube.](https://youtu.be/_ytC6S4oDbM)








#### 
 [![Sponsor Quantum Software Development](https://img.shields.io/badge/Sponsor-Quantum%20Software%20Development-brightgreen?logo=GitHub)](https://github.com/sponsors/Quantum-Software-Development)








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](https://github.com/FabianaCampanari) 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](https://www.linkedin.com/in/eric-bacconi-423137/)







## Table of Contents

- [Presentation Overview](#presentation-overview)

- [Analysis of Value Added and Its Distribution in Bovespa Banks](#analysis-of-value-added-and-its-distribution-in-bovespa-banks)

- [Objective of the Study](#objective-of-the-study)

- [Methodology](#methodology)

- [Key Findings](#key-findings)

- [Conclusions](#conclusions)

- [Usage Instructions](#usage-instructions)

- [Supplementary Materials](#supplementary-materials)

- [Future Work](#future-work)

- [Acknowledgments](#acknowledgments)

- [Contact Information](#contact-information)



  





## [Presentation Overview]()



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.







## [Analysis of Value Added and Its Distribution in Bovespa Banks]()



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.







## [Objective of the Study]()



The study investigates how Brazilian banks generated and distributed wealth, focusing on the division of value among employees, government, financiers, and shareholders.



## [Methodology]()

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.







## [Key Findings]()



1. **Differences between National and Foreign Banks**:

   - Foreign banks exhibit distinct differences from national banks concerning value added and compensation policies.

   

2. **Concentration of Value Added**:

   - Itaú, Banco do Brasil, Bradesco, and Santander collectively accounted for 85% of the total value added.

   

3. **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.







## [Conclusions]()



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.







## [Usage Instructions]()



To use the supplementary materials:

1. Clone the repository.

2. Open the PowerPoint presentation using Microsoft PowerPoint or compatible software.

3. View the video presentation using a media player of your choice.







## [Supplementary Materials]()



- [PowerPoint Presentation](https://github.com/Quantum-Software-Development/Bovespa-Banks-Value-Analysis/blame/b6e8861aa08935ff40088c202279190a967ff235/Bovespa%20Presentation/English/Bovespa%20Presentation%20PP.pptx)

  

- [PDF Report](https://github.com/Quantum-Software-Development/Bovespa-Banks-Value-Analysis/blob/b5c9d2cd30893b2630feca4917742c4499526b40/Bovespa%20Presentation/English/Bovespa%20Presentation.pdf)







## [Future Work]()



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.







## [Acknowledgments]()



Special thanks to **Professor Eric Bacconi Gonçalves** for his guidance and support throughout this project.







## [Contact Information]()



For any questions, suggestions, or collaborations, feel free to reach out:



Fabiana Campanari 🚀 [Contacts Hub](https://linktr.ee/fabianacampanari)



Fabiana Campanari 🛰️ [email](mailto:[email protected])



  



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###### 
 Copyright 2024 Quantum Software Development. Code released under the [MIT license.](https://github.com/Quantum-Software-Development/README/blob/161b677c5a791f0ca8219b8e934f1cf353d5b85d/LICENSE)