We perform a parallel analysis of the spectral density of (i) the logarithm
of price and (ii) the daily number of trades of a set of stocks traded in
the New York Stock Exchange. The stocks are selected to be representative o
f a wide range of stock capitalization, The observed spectral densities sho
w a different power-law behavior. We confirm the 1/f(2) behavior for the sp
ectral density of the logarithm of stock price, whereas we detect a 1/f-lik
e behavior for the spectral density of the daily number of trades. (C) 2000
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