Summary
Gustavo Xavier is a Professor of Finance and PhD candidate at the Federal University of Paraíba with 11 years of experience blending academic research and practical finance. His work focuses on time-series forecasting, text-regression, machine learning, asset pricing and firm investment decisions, informed by a six-month research stint at the University of Tennessee where he built a comprehensive firm-level database combining CRSP, Compustat and SEC EDGAR texts. He teaches and advises while contributing machine-learning research through the mecaplab GitHub community. Gustavo’s background spans academia, consulting and hands-on financial operations, giving him a rare mix of rigorous empirical methods and operational finance experience. He is adept at scalable data pipelines (SAS and R) for large financial and textual datasets, enabling reproducible asset-pricing and investment-growth studies. Based in Paraíba, Brazil, he brings a pragmatic, data-driven approach to bridging text analytics and traditional financial economics.
11 years of coding experience
5 years of employment as a software developer
Master of Science (M.Sc.), Finance, Master of Science (M.Sc.), Finance at Federal University of Paraíba
Master of Business Administration (M.B.A.), Business Administration and Management, Master of Business Administration (M.B.A.), Business Administration and Management at Fundação Getulio Vargas / FGV
Bachelor of Business Administration (B.B.A.), Business, Bachelor of Business Administration (B.B.A.), Business at Federal University of Campina Grande