1 Introduction
The results in this paper are a contribution to knowledge in two areas. First
of all we present new methods for_tting the generalized lambda distribution
to data. Secondly, we show the utility of the generalized lambda distribution
in the area of _nance where up until now, very little investigation of it has
been undertaken.