Summary
Fahiz Yara is an Assistant Professor of Finance at Indiana University's Kelley School of Business with nine years of experience bridging asset-pricing theory and machine learning. His research focuses on return predictability, factor portfolios, and financial econometrics, using ML tools to probe why securities with particular characteristics earn their returns. Trained in Ghana, Norway, and Portugal, he brings a global perspective—from a BSc in Accounting and Finance at the University of Ghana to an MSc at NHH and doctoral work at NOVA SBE. Prior roles include a hands-on accounting systems implementation at the University of Ghana, reflecting a practical bent alongside rigorous academic research. Based in Bloomington, Indiana, he combines empirical rigor with computational methods to translate complex econometric findings into actionable insights for asset pricing.
9 years of coding experience
MSc in Economics and Business Administration, Energy, Natural Resources and the Environment, MSc in Economics and Business Administration, Energy, Natural Resources and the Environment at Norwegian School of Economics (NHH)
Ph.D. Candidate, Finance, Ph.D. Candidate, Finance at Nova School of Business and Economics
Bachelor of Science (B.Sc.), Accounting and Finance, Pretty Good, I would say., Bachelor of Science (B.Sc.), Accounting and Finance, Pretty Good, I would say. at University of Ghana
twi, English, French