We develop a scale-invariant truncated Levy (STL) process to describe physi
cal systems characterized by correlated stochastic variables. The STL proce
ss exhibits Levy stability for the distribution, and hence shows scaling pr
operties as commonly observed in empirical data; it has the advantage that
all moments are finite and so accounts for the empirical scaling of the mom
ents. To test the potential utility of the STL process, we analyze financia
l data.