The statistical properties of the Hang Seng index in the Hong Kong stock ma
rket are analyzed. The data include minute by minute records of the Hang Se
ng index from January 3, 1994 to May 28, 1997. The probability distribution
functions of index returns for the time scales from 1 minute to 128 minute
s are given. The results show that the nature of the stochastic process und
erlying the time series of the returns of Hang Seng index cannot be describ
ed by the normal distribution. It is more reasonable to model it by a trunc
ated Levy distribution with an exponential fall-off in its tails. The scali
ng of the maximium value of tile probability distribution is studied. Resul
ts show that the data are consistent with scaling: of a Levy distribution.
It is observed that in the tail of the distribution, the fall-off deviates
from that of a Levy stable process and is: approximately exponential, espec
ially after removing daily trading pattern from the data. The daily pattern
thus affects: strongly the analysis of tile asymptotic behavior and scalin
g of fluctuation distributions.