In this paper, we propose formulations and algorithms for robust portfolio optimization under both aleatory uncertainty (i.e., natural variability) and epistemic uncertainty (i.e., imprecise probabilistic information) arising from interval data. Epistemic uncertainty is represented using two...

Certain literature that constructs a multifactor stock selection model adopted a weighted‑scoring approach despite its three shortcomings. First, it cannot effectively identify the connection between the weights of stock‑picking concepts and portfolio performances. Second, it cannot provide...