  We discuss large deviation properties of continuous-time random walks (CTRW)
and present a general expression for the large deviation rate in CTRW in terms
of the corresponding rates for the distributions of steps' lengths and waiting
times. In the case of Gaussian distribution of steps' lengths the general
expression reduces to a sequence of two Legendre transformations applied to the
cumulant generating function of waiting times. The discussion of several
examples (Bernoulli and Gaussian random walks with exponentially distributed
waiting times, Gaussian random walks with one-sided L\'evy and
Pareto-distributed waiting times) reveals interesting general properties of
such large deviations.
