Cornell Financial Engineering Manhattan 2023 Future of Finance Conference

Francesco Fabozzi is a doctoral candidate at Stevens Institute of Technology and serves as the research director for Yale’s International Center for Finance (ICF). His primary research focuses on the integration of machine learning and finance, with a specific interest in using Natural Language Processing (NLP) for equity return forecasting. In addition, Fabozzi is also the managing editor for the Journal of Financial Data Science and holds the position of Director of Data Science at the CFA Institute Research Foundation.

Fabozzi has coauthored several books on investment management and quantitative methods and has had his research published in prestigious journals including the Journal of Financial Econometrics, Journal of Derivatives, Review of Quantitative Finance and Accounting, and Journal of Portfolio Management, among others. He holds a Bachelor of Arts degree in economics from Princeton University and a Master of Science degree in financial analytics from Stevens Institute of Technology.

His areas of research interest include machine learning/artificial intelligence, natural language processing (NLP), and equity forecasting and equity factor models.

Francesco Fabozzi’s expertise and research contributions have earned him recognition in the finance industry, particularly in the field of integrating machine learning and finance. As the research director of Yale’s International Center for Finance, Fabozzi continues to push the boundaries of knowledge and explore innovative approaches to equity return forecasting using NLP. His work serves as a valuable contribution to the field and contributes to the ongoing advancement of financial research and analysis.

Overall, the Cornell Financial Engineering Manhattan 2023 Future of Finance Conference will provide an opportunity for industry professionals to learn from experts like Francesco Fabozzi and gain insight into the future of finance.