Multi-period Value-at-Risk Constrained Portfolio Optimization via DC Programming
A projected inertial Boosted Difference-of-Convex Functions Algorithm (iBDCA) that combines inertial extrapolation, an objective safeguard, and a boosted line search is proposed that is well defined, generates a monotonically decreasing objective sequence, and has only critical accumulation points for the penalized DC...