is the founder of the POK Pühringer Privatstiftung and initiator of the PMP. He also founded the Research Institute for Capital Markets in cooperation with WU (Vienna University of Economics and Business) to make a contribution to modern portfolio theory and combine it with practical implementation. Since the beginning of the PMP program he is mentor of the ZZ group, which achieved outstanding success using the strategic concepts of ZZ.

is Professor for Finance and Investments at WU (Vienna University of Econommics and Business). He was mentor of the Quant group in the early years of the PMP and now assists all students with the implementation of innovative asset management ideas.

is Professor at the Department of Finance, Accounting, and Statistics at WU (Vienna University of Economics and Business) and Affiliated Faculty at VGSF (Vienna Graduate School of Finance). His focus in research and teaching is portfolio management, endowments, and asset pricing.

was a Professor for Finance and Corporate Strategy at WU (Vienna University of Economics and Business) and together with Professor Zechner and Mr. D.I. Pühringer he was one of the founders of the PMP. Besides his teaching and presenting activity he was an internationally renowned consultant for the financial industry regarding topics such as risk management, portfolio management, banking regulation and many more. He was serving as a tutor and mentor to all three teams of the PMP.

is tenure-track Assistant Professor of Finance at WU (Vienna University of Economics and Business) and Affiliated Faculty at VGSF (Vienna Graduate School of Finance). Her research interests lie in portfolio management and empirical asset pricing, with a strong interest in the sovereign bond market. Among her activities as a PMP lecturer, she is in charge of the technical meetings, meant to provide students with a solid methodological basis for portfolio management. For the technical meetings, she focuses on seminal papers in the empirical asset pricing literature, from which relevant methodological concepts are used and implemented with real-world data and using R programming language.