Svetlozar Rachev, Ph.D. Professor

Svetlozar T. Rachev is a Professor in the Department of Mathematics and Statistics at Texas Tech University. His research lies at the intersection of probability, statistics, financial mathematics, and quantitative finance, with particular emphasis on heavy-tailed distributions, risk measurement and management, portfolio optimization, financial econometrics, derivative pricing, and computational methods. He has authored and coauthored numerous books and research publications in probability, statistics, and finance and holds several patents in financial risk management and derivative valuation. Professor Rachev is a Fellow of the Institute of Mathematical Statistics, an elected member of the International Statistical Institute, and a recipient of the Senior Humboldt Professor Award, the Barney E. Rushing, Jr. Faculty Distinguished Research Award - STEM, and the Texas Tech Excellence in Innovation Award. He has supervised numerous doctoral students and continues to work on modern applications of machine learning and artificial intelligence in quantitative finance.

Research Interests

Mathematical Finance; Quantitative Finance; Probability Theory; Lévy Processes; Stochastic Processes; Financial Econometrics; Risk Management; Portfolio Optimization; Asset Pricing; Derivatives Pricing; Behavioral Finance; Heavy-Tailed Distributions; Stable Distributions; Statistical Modeling; Econometric Modeling; ESG Finance; Cryptocurrency Risk Management; Market Microstructure; Option Pricing; Financial Engineering; Postmodern Portfolio Theory; Computational Finance; Actuarial Finance; Time Series Analysis; Machine Learning in Finance

Education

Ph.D., Lomonozov University, Moscow