In this contribution, the upper bounds for sums of dependent random variabl
es X-1 + X-2 + ... + X-n derived by using comonotonicity are sharpened for
the case when there exists a random variable Z such that the distribution f
unctions of the X-i, given Z = z, are known. By a similar technique, lower
bounds are derived. A numerical application for the case of lognormal rando
m variables is given. (C) 2000 Elsevier Science B.V. All rights reserved.