This article investigates whether differences in information-based tra
ding can explain observed differences in spreads for active and infreq
uently traded stocks. Using a new empirical technique, we estimate the
risk of information-based trading for a sample of New York Stock Exch
ange (NYSE) listed stocks. We use the information in trade data to det
ermine how frequently new information occurs, the composition of tradi
ng when it does, and the depth of the market for different volume-deci
le stocks. Our most important empirical result is that the probability
of information-based trading is lower for high volume stocks. Using r
egressions, we provide evidence of the economic importance of informat
ion-based trading on spreads.