Скачать или смотреть Joseph Simonian: "The Complementary Roles of Data Science and Econometrics in Model Validation"

Abstract: During the webinar, Dr. Simonian will discuss the different roles that traditional econometrics and machine learning play in the model validation process. The talk will draw on Dr. Simonian's almost two decades long experience in building and testing investment models, and so should appeal to students who are interested in building viable investment strategies.

Speaker Bio: Joseph Simonian is a globally renowned investor and researcher who has conducted extensive research in quantitative finance, machine learning, factor investing, and portfolio construction. He is currently senior investment strategist at Scientific Beta. He was also the founder of Autonomous Investment Technologies and partner at MarkerTree Capital. Over the course of a 20-year career in the investment industry Joseph has held senior portfolio management and research positions in several prominent asset management firms, including Acadian Asset Management, Natixis Investment Managers, Fidelity Investments, J.P. Morgan Asset Management, PIMCO, and Lehman Brothers.

Joseph is a noted contributor to leading finance journals and is also a prominent speaker at investment events worldwide. He is currently the co-editor of the Journal of Financial Data Science and is also on the editorial board of The Journal of Portfolio Management. Joseph has authored over 40 publications in leading investment journals. He is co-author of the recent book Quantitative Global Bond Portfolio Management and author of Geopolitical Finance slated for release in 2024.

In addition to his portfolio research and research activities, Joseph also has extensive experience teaching in both academia and industry.

He holds a Ph.D. from the University of California, Santa Barbara; an M.A. from Columbia University; as well as a B.A. from the University of California, Los Angeles.