A state-of-the-art book that examines new methods for effectively implementing modern portfolio theory
Robust Portfolio Optimization and Estimation presents approaches to the implementation of modern portfolio theory that can be used by today’ s market participants– from portfolio managers and consultants to hedge fund managers. This book bridges the gap from basic portfolio theory– as set forth by Nobel Prize winner, Harry Markowitz– to effective practical applications. It reviews the methodology of classical mean-variance optimization, and discusses how modern robust methods overcome common pitfalls associated with the classical framework.
Frank J. Fabozzi, PhD, CFA, CFP (New Hope, PA) is the Frederick Frank Adjunct Professor of Finance at Yale University’ s School of Management. Petter N. Kolm, PhD (New York, NY) is a graduate student in finance at the Yale School of Management and a financial consultant in New York City. Dessislava Pachamanova, PhD (Boston, MA) is an Assistant Professor of Operations Research at Babson College. Sergio M. Focardi (Paris, France) is a founding partner of the Paris-based consulting firm, The Intertek Group.
