A hybrid machine learning and miqp approach for multi-objective portfolio optimization
The hybrid approach between machine learning and mixed-integer quadratic programming (MIQP) is proposed in this study to optimize a multi-objective portfolio that trades off between return rate and downside risk. This research is inspired by traditional approaches such as Markowitz variance and fuzzy-clustering, which...