This paper introduces the minCluster portfolio, which is a portfolio optimization method combining the optimization of downside risk measures, hierarchical clustering and cellwise robustness. Using cellwise robust association measures, the minCluster portfolio is able to retrieve the underlying...

In this study, stocks traded in the Istanbul Stock Exchange-100 (ISE- 100) Index are classified according to a risk-return criterion using hierarchical clustering algorithms. Doing this, it is intended to show that how an informed investor can make more rational investments using cluster...