Revista de Gestão: Volume 31 Issue 2 , Open Access

Guest editorial: Special issue: Applications of artificial intelligence and machine learning in business, finance and economics

Leandro dos Santos Maciel, Plamen Angelov, Fernando Gomide

Market efficiency assessment for multiple exchanges of cryptocurrencies

Orlando Telles Souza, João Vinícius França Carvalho

This study aims to analyze the efficient market hypothesis (EMH) of cryptocurrencies on multiple platforms by observing whether there is a discrepancy in the levels of efficiency…

Machine learning methods for financial forecasting and trading profitability: Evidence during the Russia–Ukraine war

Yaohao Peng, João Gabriel de Moraes Souza

This study aims to evaluate the effectiveness of machine learning models to yield profitability over the market benchmark, notably in periods of systemic instability, such as the…

Diversification with international assets and cryptocurrencies using Black-Litterman

Daniel Pereira Alves de Abreu, Robert Aldo Iquiapaza

The aim of the study was to analyze the performance of Black-Litterman (BL) portfolios using a views estimation procedure that simulates investor forecasts based on technical…

Sentiment and economic activity in Brazil

Paulo Fernando Marschner, Paulo Sergio Ceretta

The purpose of this study is to analyze how sentiment affects economic activity in Brazil.

Contributions to the segmentation of e-commerce nonusers: clustering the reasons not to shop online

Gabriel Nery-da-Silva, Marcelo Henrique de Araujo, Fernando de Souza Meirelles

The purpose is to investigate whether Brazilian e-commerce nonusers all have the same reasons not to purchase online or whether different behavior patterns might lead them to…

Adaptive markets hypothesis and economic-institutional environment: a cross-country analysis

Marco Aurélio dos Santos, Luiz Paulo Lopes Fávero, Talles Vianna Brugni, Ricardo Goulart Serra

This study’s goal was to identify how several markets have developed over time and what determinants have influenced this process, based on adaptive markets hypothesis (AMH). In…

Users’ trust in black-box machine learning algorithms

Heitor Hoffman Nakashima, Daielly Mantovani, Celso Machado Junior

This paper aims to investigate whether professional data analysts’ trust of black-box systems is increased by explainability artifacts.