In this paper we consider the relation between random sums and compositions of different processes. In particular, for independent Poisson processes , , , we show that $N_\alpha(N_\beta(t)) \overset{}{=} \sum_{j=1}^{N_\beta(t)} X_jX_j$s are Poisson random variables. We present a series of similar cases, the most general of which is the one in which the outer process is Poisson and the inner one is a nonlinear fractional birth process. We highlight generalisations of these results where the external process is infinitely divisible. A section of the paper concerns compositions of the form , $\nu \in (0,1]\tau_k^\nu$ is the inverse of the fractional Poisson process, and we show how these compositions can be represented as random sums. Furthermore we study compositions of the form , , which can be represented as random products. The last section is devoted to studying continued fractions of Cauchy random variables with a Poisson number of levels. We evaluate the exact distribution and derive the scale parameter in terms of ratios of Fibonacci numbers.

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