Motivated by previously published results, the computation of upper covariance bounds for perturbed linear systems is considered. It is shown that, for a wide choice of cost functions, the bound optimization problem is convex with respect to a scalar parameter. The analysis hinges on the properties of a H(infinity)-type Riccati equation.