Fahiz Yara
Assistant Professor at Indiana University - Kelley School of Business
Bloomington, Indiana, United States
Summary
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Senior🎓
Top SchoolFahiz 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 EconomicsBachelor 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
Github Skills (57)
r8
equinox8
netlify7
rstudio7
julia7
rmarkdown7
deep-learning6
hugo-theme6
hugo6
page-builder6
scientific-computing5
website-template5
quantile5
github-pages5
dplyr5
Programming languages (8)
Github contributions (5)
BabaYara/DSGE_BSDE
Jun 2025 - Sep 2025
A self-contained, progressively expanding GitHub repository that teaches the BSDE method for solving continuous-time DSGE models—from the simplest toy case to state-of-the-art research examples—using a series of well-curated Jupyter notebooks and a clean, modular Python package.
Contributions:107 PRs, 135 pushes, 57 branches in 3 months
BabaYara/starter-academic_New
Sep 2020 - Jan 2024
Contributions:202 pushes, 1 branch in 3 years 4 months
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