Distributions with fixed marginals maximizing the mass of the endograph of a function

We solve the problem of maximizing the probability that $X$ does not default before $Y$ within the class of all random variables $X,Y$ with given distribution functions $F$ and $G$ respectively, and construct a dependence structure attaining the maximum. After translating the maximization problem to the copula setting we generalize it and prove that for each (not necessarily monotonic) transformation $T:[0,1] \rightarrow [0,1]$ there exists a completely dependent copula maximizing the mass of the endograph $\Gamma^\leq(T)$ of $T$ and derive a simple and easily calculable formula for the maximum. Analogous expressions for the minimal mass are given. Several examples and graphics illustrate the main results and falsify some natural conjectures.