Are excess returns predictable and if so, what does this mean for investors? Previous literature has tended toward two polar viewpoints: that predictability is useful only if the statistical evidence for it is incontrovertible, or that predictability should affect portfolio choice, even if the...

This book offers valuable insights into the management of uncertainty and business enterprises risk. Propelled by clear construct and communication, Nishimura introduces an innovate model (COLC) that embodies forward-looking, globalized understandings of how managers can exploit profit...

Managing Uncertainty, Mitigating Risk proposes that financial risk management broaden its approach, maintaining quantification where possible, but incorporating uncertainty. The author shows that by using broad quantification techniques, and using reason as the guiding principle, practitioners...

The scope of this volume is primarily to analyze from different methodological perspectives similar valuation and optimization problems arising in financial applications, aimed at facilitating a theoretical and computational integration between methods largely regarded as alternatives....

Framing the Risk Challenge -- Understanding the Hidden Risk of Dynamic Complexity -- Understanding the Nature of Risk -- Human Interaction and Perception of Risk -- Risk Evolves as Experience Evolves -- Why the Risk Comes as a Surprise -- Systemic and Systematic Risk -- How Risk is Currently...

Random Set Theory -- Random Multiple Objective Decision Making -- Bi-random Multiple Objective Decision Making -- Random Fuzzy Multiple Objective Decision Making -- Random Rough Multiple Objective Decision Making -- Methodological System for RLMODM -- Some Mathematical Aids -- Some Procedures

Ongoing global changes pose fundamentally new scientific problems requiring new concepts and tools. A key issue concerns a vast variety of practically irreducible uncertainties, which challenge traditional models and require new concepts and analytical tools. Uncertainty can dominate, as in the...