Knowledge that Transforms

The theoretical portfolio autocorrelation due solely to nonsynchronous trading is estimated from a derived model. This estimated level is found to be substantially less than that observed empirically. The theoretical and empirical relationship between portfolio size and autocorrelation also is investigated. The results of this study suggest that other price‐adjustment delay factors in addition to nonsynchronous trading cause the high autocorrelations present in daily returns on stock index portfolios.

The authors examine equilibrium credit contracts and allocations under different competitivity specifications and explain the economic roles of collateral under these specifications. Both moral hazard and adverse selection are considered. The principal message is that how a competitive equilibrium is conceptualized significantly affects the characterization of equilibrium credit contracts. Specifically, some well‐known results in the rationing literature are shown to rest delicately on the adopted equilibrium concept. Two somewhat surprising results emerge. First, high‐quality borrowers with unlimited collateral may be priced out of the market despite the bank having idle deposits. Second, high‐quality borrowers may put up more collateral.

An efficient signalling equilibrium with dividends and investments or, equivalently, dividends and net new issues of stock is constructed, and its properties are identified. Because corporate insiders can exploit multiple signals, the efficient mix must minimize dissipative costs. In equilibrium, many firms both distribute dividends and deviate from first‐best investment. Also, the impact of dividends on stock prices is positive. By contrast, the announcement effect of new stock is negative for firms with private information primarily about assets in place and positive for firms with inside information mainly about opportunities to invest.

This paper considers the pricing of options with default risk. The comparative statics of such options can differ from those of ordinary options, and early exercise of such American call options can be optimal. Several examples of options with default risk are considered.

In this paper, a model of market reaction to stock splits is presented and tested. We argue that the announcement of a split sets off the following chain of events. The market recognizes that, subsequent to the (reverse) split ex‐day, the daily number of transactions along with the raw volume of shares traded will increase (decrease). This increase in volume results in an increase in the noisiness of the security's return process. The increase in noise raises the tax‐option value of the stock, and it is this value that generates the announcement effect of stock splits. Empirical evidence using security returns, daily trading volume, and shareholder data strongly supports this theory. The evidence, in conjunction with this theory, also agrees with extant literature that splits result in decreased liquidity, but there is no evidence that this reduction in liquidity is priced.

The bid‐ask spread can be decomposed into two parts: one part due to asymmetric information and the other part due to other factors such as monopoly power. The part due to asymmetric information attenuates statistical biases in mean return, variance, and serial covariance. Thus, using spread data to adjust for biases in return moments requires knowing not only the spread but the composition of the spread. Furthermore, any spread‐estimation procedure using transaction prices must estimate two spread components. On the other hand, the appropriateness of some previously suggested statistical corrections is independent of the spread composition.

This paper provides simple, analytic approximations for pricing exchange-traded American call and put options written on commodities and commodity futures contracts. These approximations are accurate and considerably more computationally efficient than finite-difference, binomial, or compound-option pricing methods.