Let $\mu_n, \mu$ be probability measures on $\mathbb{R}$ such that $\mu_n$ converges in distribution to $\mu$. Let $M_n(s) = \mathbb{E}(e^{sX_n})$ and $M(s) = \mathbb{E}(e^{sX})$ be the respective moment generating functions. Assume that $M_n(s)$ is finite in a common interval $[-s_0, s_0]$, $s_0 > 0$. Does it follow that $M_n(s) \rightarrow M(s)$ in this interval?
I want to know if this holds in order to prove a version of the continuity theorem for MGFs. The issue I am having is that the function $e^{sx}$ is continuous but not bounded, unlike the case for characteristic functions.