A generalized correlated random walk is a process of partial sums
such that (X, Y) forms a Markov chain. For a sequence (X n ) of such processes in which each
takes only two values, we prove weak convergence to a diffusion process whose generator is explicitly described in terms of the limiting behaviour of the transition probabilities for the Y n . Applications include asymptotics of option replication under transaction costs and approximation of a given diffusion by regular recombining binomial trees.