Knowledge that Transforms

This paper delineates the link between the existence of information, the timing of trades, and the stochastic process of prices. We show that time affects prices, with the time between trades affecting spreads. Because the absence of trades is correlated with volume, our model predicts a testable relation between spreads and normal and unexpected volume, and demonstrates how volume affects the speed of price adjustment. Our model also demonstrates how the transaction price series will be a biased representation of the true price process, with the variance being both overstated and heteroskedastic.

The January effect is primarily a low‐share price effect and less so a market value effect. In the recent 1977–1986 period, after‐transaction‐cost raw and excess January returns are lower on low‐price stocks than on high‐price stocks. Failure of informed traders to eliminate significantly large before‐transaction‐cost excess January returns on low‐price stocks is potentially explained by higher transaction costs and a bid‐ask bias. At the least, the January anomaly found in prior tests is not persistent, and thereby, not likely to be exploitable by typical investors.

We characterize the conditions under which efficient portfolios put small weights on individual assets. These conditions bound mean returns with measures of average absolute covariability between assets. The bounds clarify the relationship between linear asset pricing models and well‐diversified efficient portfolios. We argue that the extreme weightings in sample efficient portfolios are due to the dominance of a single factor in equity returns. This makes it easy to diversify on subsets to reduce residual risk, while weighting the subsets to reduce factor risk simultaneously. The latter involves taking extreme positions. This behavior seems unlikely to be attributable to sampling error.

We examine whether greater futures‐trading activity (volume and open interest) is associated with greater equity volatility. We partition each trading activity series into expected and unexpected components, and document that while equity volatility covaries positively with unexpected futures‐trading volume, it is negatively related to forecastable futures‐trading activity. Further, though futures‐trading activity is systematically related to the futures contract life cycle, we find no evidence of a relation between the futures life cycle and spot equity volatility. These findings are consistent with theories predicting that active futures markets enhance the liquidity and depth of the equity markets.

Trading by corporate insiders and their tippees is analyzed in Anheuser‐Busch's 1982 tender offer for Campbell Taggart. Court records that identify insider transactions are used to disentangle the individual insider trades from liquidity trades. Consistent with previous studies, insider trading was found to have had a significant impact on the price' of Campbell Taggart. However, the impact of informed trading on the market is complicated. Trading volume net of insider purchases rose. Contrary to the broad implications of adverse selection models, Campbell Taggart's liquidity improved when the insiders were active in the market, and the insiders received superior execution for their orders.

An annual loss is essentially a necessary condition for dividend reductions in firms with established earnings and dividend records: 50.9% of 167 NYSE firms with losses during 1980–1985 reduced dividends, versus 1.0% of 440 firms without losses. As hypothesized by Miller and Modigliani, dividend reductions depend on whether earnings include unusual items that are likely to temporarily depress income. Dividend reductions are more likely given greater current losses, less negative unusual items, and more persistent earnings difficulties. Dividend policy has information content in that knowledge that a firm has reduced dividends improves the ability of current earnings to predict future earnings.

Option replication is discussed in a discrete‐time framework with transaction costs. The model represents an extension of the Cox‐Ross‐Rubinstein binomial option pricing model to cover the case of proportional transaction costs. The method proceeds by constructing the appropriate replicating portfolio at each trading interval. Numerical values of these prices are presented for a range of parameter values. The paper derives a simple Black‐Scholes type approximation for the option prices with transaction costs and demonstrates numerically that it is quite accurate for plausible parameter values.

This paper analyzes price formation under two trading mechanisms: a continuous quote‐driven system where dealers post prices before order submission and an order‐driven system where traders submit orders before prices are determined. The order‐driven system operates either as a continuous auction , with immediate order execution, or as a periodic auction , where orders are stored for simultaneous execution. With free entry into market making, the continuous systems are equivalent. While a periodic auction offers greater price efficiency and can function where continuous mechanisms fail, traders must sacrifice continuity and bear higher information costs.

This paper tests two of the simplest and most popular trading rules--moving average and trading range break--by utilizing the Dow Jones Index from 1897 to 1986. Standard statistical analysis is extended through the use of bootstrap techniques. Overall, their results provide strong support for the technical strategies. The returns obtained from these strategies are not consistent with four popular null models: the random walk, the AR(1), the GARCH-M, and the Exponential GARCH. Buy signals consistently generate higher returns than sell signals, and further, the returns following buy signals are less volatile than returns following sell signals. Moreover, returns following sell signals are negative, which is not easily explained by any of the currently existing equilibrium models. Copyright 1992 by American Finance Association.(This abstract was borrowed from another version of this item.)