  In this paper, we provide a comprehensive review of recent advances in robust
portfolio selection problems and their extensions, from both operational
research and financial perspectives. A multi-dimensional classification of the
models and methods proposed in the literature is presented, based on the types
of financial problems, uncertainty sets, robust optimization approaches, and
mathematical formulations. Several open questions and potential future research
directions are identified.
