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Abalfazl Zareei is an Assistant Professor at Stockholm Business School, associated with the Swedish House of Finance as a Research Fellow. He obtained his PhD in Business Finance from Carlos III de Madrid University in 2016. At Stockholm University, he teaches Portfolio Theory in the Master Programme for Banking and Finance. His research interests encompass Financial Economics, Machine Learning, and Network Analysis, focusing on the complexities of financial markets and the integration of advanced computational techniques into financial models. Zareei has contributed to several notable publications including 'Network Origins Portfolio Risk' in the Journal of Banking & Finance and 'Network Approach Portfolio Selection' in the Journal of Empirical Finance. His work explores innovative methodologies for understanding portfolio selection and risk through empirical analysis and machine learning applications in finance.
Includes Analytical Chemistry, Organic Chemistry, Biochemistry, and Sustainable Chemistry.