Portfolio choice through convex optimization

Recent advances in convex analysis have produced efficient algorithms to solve convex constrained optimization problems. They can find important applications in finance and economics, where convexity is often theoretically justified. This paper considers as an example the portfolio selection problem and shows how the classical mean-variance analysis can be generalized