The paper discusses how to assess risk by computing the best upper and lower bounds on the expected value E[φ(X)], subject to the constraints E[X<sup>i</sup>] = µ<sub>i</sub> for i = 0, 1, 2, . . . , n. φ(x) can take the form of the indicator function φ(x) = 𝕀<sub>(−∞,K]</sub>(x) in which the bounds on Pr(X ≤ K)...