  Let $p$ and $q$ be probability vectors with the same entropy $h$. Denote by
$B(p)$ the Bernoulli shift indexed by $\Z$ with marginal distribution $p$.
Suppose that $\phi$ is a measure preserving homomorphism from $B(p)$ to $B(q)$.
We prove that if the coding length of $\phi$ has a finite 1/2 moment, then
$\sigma_p^2=\sigma_q^2$, where $\sigma_p^2=\sum_i p_i(-\log p_i-h)^2$ is the
{\dof informational variance} of $p$. In this result, which sharpens a theorem
of Parry (1979), the 1/2 moment cannot be replaced by a lower moment. On the
other hand, for any $\theta<1$, we exhibit probability vectors $p$ and $q$ that
are not permutations of each other, such that there exists a finitary
isomorphism $\Phi$ from $B(p)$ to $B(q)$ where the coding lengths of $\Phi$ and
of its inverse have a finite $\theta$ moment. We also present an extension to
ergodic Markov chains.
