معرفی
Rustam Ibragimov is a Professor of Finance and Econometrics at the Department of Finance within the Business School at Imperial College London. He holds a dual Ph.D. in Economics from Yale University (2005) and in Mathematics from the Uzbek Academy of Sciences. Prior to Imperial, he served as an Assistant Professor (2005–2009) and Associate Professor (2009–2012) at Harvard University’s Economics Department. He has held visiting roles at institutions such as the Judge Business School (Cambridge), Nuffield College (Oxford), and Columbia University’s Department of Statistics.
His research focuses on heavy-tailed distributions, robust econometric methods, financial market crises, and dependence modeling via copulas. Key contributions include monographs on Heavy-Tailed Distributions and Robustness in Economics and Finance (Springer) and Heavy Tails and Copulas (World Scientific), as well as co-authoring Inequalities and Extremal Problems in Probability and Statistics (Academic Press). He serves as an Associate Editor for Econometric Theory and the Journal of Empirical Finance.
His research spans empirical analysis of cyber risk, cryptocurrency markets, income inequality dynamics, and emerging market volatility. His work frequently addresses tail risk, robust inference, and the limitations of diversification in heavy-tailed environments. He has collaborated extensively with institutions like the New Palgrave Dictionary of Economics and the International Encyclopedia of Statistical Sciences.
Rustam’s academic leadership includes contributions to statistical theory, financial econometrics, and interdisciplinary applications of probability. His current projects emphasize robust methodologies for predictive regressions, cyber risk dynamics, and the interplay between economic inequality and market demand.
