  Here we analyse the behaviour of the higher order moments of financial series
when we truncate a large data set into smaller and smaller subsets, referred to
below as time windows. Additionally, we look at the effect of the economic
environment on the behaviour of higher order moments in these time windows. We
observe two different nontrivial scaling relations of higher order moments when
the data sub sets' length decreases; one for longer time windows and another
for the shorter time windows. The scaling relations drastically change when the
time window encompasses a financial crisis. We also observe a qualitative
change of higher order standardised moments compared to the gaussian values in
response to a shrinking time window.
