Survival probabilities of some iterated processes

We study the asymptotic behaviour of the probability that a stochastic process $(Z_t{)}_{t\ge 0}$ does not exceed a constant barrier up to time $T$ (the so called survival probability) when Z is the composition of two independent processes $(X_t{)}_{t\in I}$ and $(Y_t{)}_{t\ge 0}$. To be precise, we consider $(Z_t{)}_{t\ge 0}$ defined by $Z_t=X\circ \text{abs}{Y}_t$ when $I = [0,\infty)$and$Z_t = X \circ Y_t$when$I = $\mathbb{R}$$. For continuous self-similar processes $(Y_t{)}_{t\ge 0}$, the rate of decay of survival probability for $Z$ can be inferred directly from the survival probability of $X$ and the index of self-similarity of $Y$. As a corollary, we obtain that the survival probability for iterated Brownian motion decays asymptotically like $T^{-1\mathrm{/}2}$. If $Y$ is discontinuous, the range of $Y$ possibly contains gaps which complicates the estimation of the survival probability. We determine the polynomial rate of decay for $X$ being a L'{e}vy process (possibly two-sided if $I=\mathbb{R}$) and $Y$ being a L'{e}vy process or random walk under suitable moments conditions.