This article examines the relation between two factors affecting stock returns, the bid-ask spread and price discreteness, and the increase in return variance after ex-dates of stock splits and stock dividends. Controlling for these effects, the variance of daily returns still increases significantly. The variance of weekly returns also increases significantly, and the variance of returns for a control sample of nonsplitting firms shows no significant increase. Variance ratio tests show that bid-ask errors are small for these stocks and therefore cannot explain the large increase in variance. Spreads and price discreteness do not explain increased variance after stock distributions.

[This article examines the relation between two factors affecting stock returns, the bid-ask spread and price discreteness, and the increase in return variance after ex-dates of stock splits and stock dividends. Controlling for these effects, the variance of daily returns still increases significantly. The variance of weekly returns also increases significantly, and the variance of returns for a control sample of nonsplitting firms shows no significant increase. Variance ratio tests show that bid-ask errors are small for these stocks and therefore cannot explain the large increase in variance. Spreads and price discreteness do not explain increased variance after stock distributions.]

We investigate the effect of asymmetric information on prices and liquidity by analyzing trades, quotes, spreads, and depths. Information content should increase with trade size and the information asymmetry of the trading period. Results show that price and liquidity effects are significantly associated with information content as measured by both trade size and timing relative to information events. Results are stronger for purchases than sales. Quoted prices are better measures of information effects than transaction prices, because they control for bid-ask bounce. Finally, trades that a priori contain no information have no impact on prices and liquidity, despite their large size.

We investigate the effect of asymmetric information on prices and liquidity by analyzing trades, quotes, spreads, and depths. Information content should increase with trade size and the information asymmetry of the trading period. Results show that price and liquidity effects are significantly associated with information content as measured by both trade size and timing relative to information events. Results are stronger for purchases than sales. Quoted prices are better measures of information effects than transaction prices, because they control for bid-ask bounce. Finally, trades that a priori contain no information have no impact on prices and liquidity, despite their large size.