The third edition of Analyzing Financial and Economic Data with R provides a total of 98 end-of-chapter exercises. All activities are freely available in the exams format, meaning that any R tutor can export the same exercises and solutions to use in their own class. In this post I’ll show how to compile exercises to pdf, html, Moodle and blackboard. Installation The first step is to install package afedR3 with devtools: if (!require(devtools)) install.packages('devtools') devtools::install_github('msperlin/afedR3') Another requirement is a working Latex instalation. For that, use tinytex: tinytex::install_tinytex() Compiling Exercises How it works?

Every end of year I write about what happened during the yearly cycle and what’s to come. This year was very special and impactful for me. I learned a lot about myself, about what I do and why. Here are the highlights. Highlights of 2022 and 2021 Academic Papers I published and co-authored several academic papers during this period: What drives the release of material facts for Brazilian stocks? The Academic Inbreeding Controversy: Analysis and Evidence from Brazil Board gender diversity: performance and risk of Brazilian firms O Impacto da Titulação Acadêmica de Conselheiros e Diretores sobre a Performance de Empresas Negociadas na B3 Books The first edition of book Visualização de Dados com o R was published in October 2022.

It is with great pleasure that I officially announce the publication of my book Visualização de Dados com o R. The content of the book is an extension of chapter 10 of afedR. The book is written in portuguese and available at Amazon and online: ebook paperback hardcover Online version (chapters 01-03) You can find more details in its own blog page.

Back in 2020 I started to compile and share financial data in dataverse. The data covers corporate finance events from the DFP and FRE systems. The available tables are the same I use for my research and teaching material, and will be updated once a year. Today I updated all datasets. The available data are: R Package Source of Data Description Direct Link Last Update GetTDData Tesouro Nacional Prices and yields of brazilian sovereign bonds Link 2022-04-06 GetFREData CVM Corporate dataset from FRE systems Link 2022-04-06 GetDFPData2 CVM Annual Financial Reports from DFP system Link 2022-04-06

Package BatchGetSymbols facilitates importation of Yahoo Finance data directly into R and is one of my most popular R packages, with over 100k installations since conception (around 2500 downloads per month). However, I developed BatchGetSymbols back in 2016, with many bad structural choices from my part. For years I wanted to improved the code but always restrained myself because I did not want to mess up the execution of other people’s code that was based on BatchGetSymbols. In order to implement all the breaking changes and move forward with the package, I decided to develop a new (and fresh) package called yfR.

Description This book introduces the reader to the use of R and RStudio as a platform for analyzing financial and economic data. The book covers all necessary knowledge for using R, from its installation in your computer to the organization and development of scripts. For every chapter, the book presents practical and replicable examples of R code, providing context and facilitating the learning process. This is what you’ll learn from this book: 01 - Using R and RStudio 02 - Importing financial and economic data from local files and the internet

Descrição Este livro é uma extensão da minha outra obra, Análise de Dados Financeiros e Econômicos com o R. Aqui escrevo sobre tudo aquilo que aprendi sobre visualização de dados em mais de doze anos de carreira como professor, pesquisador e consultor da área de finanças e economia. O conteúdo do livro percorre sobre os seguintes pontos: Princípios e componentes: Nos capítulos e 02 discutiremos princípios e componentes visuais de um gráfico de dados. Discutiremos elementos centrais e independentes da plataforma de programação, ou seja, podes aplicar os mesmos princípios para gráficos produzidos em Python/matplotlib, por exemplo.

This paper presents an embracing quantitative inbreeding analyses in the Brazilian higher education system (HES). Several studies were conducted about …

In this study we look at the determinants of material facts (Fatos Relevantes) in the Brazilian Market. Following local legislation, material facts …

Purpose: This study aims to intend to check if female board representation affects performance and risk and to analyse the evolution of the …