Uncertain Portfolio Optimization
Von:
Qin, ZhongfengThis book provides a new modeling approach for portfolio optimization problems involving a lack of sufficient historical data. The content mainly reflects the author’s extensive work on uncertainty portfolio optimization in recent years. Considering security returns as different variables, the book presents a series of portfolio optimization models in the framework of credibility theory, uncertainty theory and chance theory, respectively. As such, it offers readers a comprehensive and up-to-date guide to uncertain portfolio optimization models.
Oktober 2016, ca. 192 Seiten, Uncertainty and Operations Research, Englisch
Springer EN
978-981-10-1809-1
Springer EN
978-981-10-1809-1

