In this paper we employ a data set of logarithmic nondividend adjusted dail
y returns from the Hong Kong Stock Exchange Hang Seng Index, over a thirtee
n and a half year period to investigate the presence of the January effect,
or other monthly seasonalities. Further, we partition our data set into tw
o subsamples, which allows us to test for persistence of any monthly season
ality we uncover. However, our results are somewhat surprising, we can find
no evidence of a January effect or any other monthly seasonality. Indeed,
we note that for two of our data sets, the mean return for December is less
than that for January. We conclude that these results are peculiar to the
Hang Seng Index, as the overwhelming majority of previous studies of other
Stock Indices, generally detect some form of monthly seasonality.