finite variance

Can you show that all discrete, finite-valued random processes have always finite moments?

All moments can be estimated to be less than the \(n\)th power of the largest value that the random variable can assume. That’s not necessarily the case for distributions of continuous random variables, which can diverge, depending on the properties of the distribution.