Hyung-Eun CHOI

Finance PhD, Finance
Specialization domain(s):

- Fintech, Machine (Deep) Learning, Cryptocurrency, Empirical Asset Pricing, Commodity, Corporate Bonds


Hyung-Eun is an Assistant Professor of Finance at NEOMA Business School. He earned a PhD in Finance from the Rawls College of Business, Texas Tech University in 2020. He also holds a Master’s Degree in Finance and a BA from Seoul National University. His research agenda focuses on fintech, machine (deep) learning, cryptocurrency, and big-data analysis. Accordingly, he is interested in developing a wide range of coding in Python, R, and Matlab. His ongoing research employs machine learning investing tools, for which he was invited to the J.P. Morgan Center for Commodities Conference in 2019. Another of his papers, currently accepted for publication in Finance Research Letters, focuses on the scraping of millions of hashtag Bitcoin tweets to investigate the real-time effects of investor attention. The other strand of his research studies is corporate bonds and bank-loan markets. He has also worked as a project risk manager in the international commodity market, which took him to Asia (China, Kazakhstan), South America (Bolivia, Chile, Peru), and Africa (the South African Republic and Madagascar).