  Let $\left\{ S_{n},n\geq 0\right\} $ be a random walk whose increment
distribution belongs without centering to the domain of attraction of an $%
\alpha $-stable law, i.e., there are some scaling constants $a_{n}$ such that
the sequence $S_{n}/a_{n},n=1,2,...,$ weakly converges, as $% n\rightarrow
\infty $ to a random variable having an $\alpha $-stable distribution. Let
$S_{0}=0,$% \begin{equation*} L_{n}:=\min \left( S_{1},...,S_{n}\right) ,\tau
_{n}:=\min \left\{ 0\leq k\leq n:S_{k}=\min (0,L_{n})\right\} .
\end{equation*}% Assuming that $S_{n}\leq h(n),$ where $h(n)$ is $o(a_{n})$ and
$% \lim_{n\rightarrow \infty }h(n)\in \lbrack -\infty ,+\infty ]$ exists we
prove several limit theorems describing the asymptotic behavior of the
functionals \begin{equation*} \mathbf{E}\left[ e^{S_{\tau _{n}}};S_{n}\leq
h(n)\right] \end{equation*}% as $n\rightarrow \infty $. The obtained results
are applied for studying the survival probability of a critical branching
process evolving in an extremely unfavorable random environment.
  Key words: random walk, branching processes, random environment, survival
probability, unfavorable environment
