HIGHLIGHTS
- who: A Biased-Randomized Iterated Local et al. from the Business School, University, UP, UK have published the Article: Algorithm for Rich Portfolio Optimization, in the Journal: (JOURNAL)
- what: The authors show that using a carefully devised matheuristic solver can significantly reduce the minimum running time necessary to obtain near-optimal solutions. In this regard, the authors show that ARPO can be used to solve portfolio optimization problems, in which a number of scenarios comprising uncertain returns, variances and covariances are studied and compared with the CEF-ARPO with accurate inputs. Although this paper focuses . . .
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