Knowledge that Transforms

We test a theory of the interaction between investors’ heterogeneity, risk, transaction costs, and trading volume. We take advantage of the specific nature of trading motives around the distribution of cash dividends, namely the costly trading of tax shields. Consistent with the theory, we show that when trades occur because of differential valuation of cash flows, an increase in risk or transaction costs reduces volume. We also show that the nonsystematic risk plays a significant role in determining the volume of trade. Finally, we demonstrate that trading volume is positively related to the degree of heterogeneity and the incentives of the various groups to engage in trading.

We use futures transaction data to investigate cross-sectional relationships between market-maker inventory positions and trade activity. The investigation documents strongly that traders control inventory throughout the trading day. Despite this evidence of inventory management, typical inventory control models are contradicted by our data. These inventory models predict that market-maker reservation prices are negatively influenced by inventory. Surprisingly, our evidence shows, as a strong and consistent empirical regularity, that correlations between inventory and reservation prices are positive. We interpret the evidence as consistent with active position taking by futures market floor traders.

We develop a new procedure to forecast future cash flows from a financial asset and then use the present value of our cash flow forecasts to calculate the asset’s fundamental price. As an example, we construct a nonlinear ARMA-ARCH-Artificial Neural Network model to obtain out-of-sample dividend forecasts for 1920 and beyond, using only in-sample dividend data. The present value of our forecasted dividends yield fundamental prices that reproduce the magnitude, timing, and time-series behavior of the boom and crash in 1929 stock prices. We therefore reject the popular claim that the 1920s stock market contained a bubble.

This article successively introduces variable velocity, durability, and habit persistence in a standard two-country general equilibrium model and explores their effects on the variability of exchange rate changes, forward premiums, and the foreign exchange risk premium. A new feature of the model is that agents make decisions at a weekly frequency and face conditionally heteroskedastic shocks. Nevertheless, even the most complex model fails to deliver sufficiently variable risk premiums without causing forward premiums and exchange rates to be excessively variable. Unlike previous models, the model can roughly match the persistence of forward premiums.

Journal Article Time-Varying Expected Small Firm Returns and Closed-End Fund Discounts Get access Bhaskaran Swaminathan Bhaskaran Swaminathan Cornell University Search for other works by this author on: Oxford Academic Google Scholar The Review of Financial Studies, Volume 9, Issue 3, July 1996, Pages 845–887, https://doi.org/10.1093/rfs/9.3.845 Published: 03 June 2015

This article analyzes intraday patterns for U.K. and U.S. trading of British cross-listed stocks. For each market, the intraday patterns for these stocks closely resemble those of otherwise similar, non-cross-listed stocks. There is a 2-hour period each day when cross-listed stocks are traded both in New York and in London. This overlap is characterized by concentrated trading as private information, originating in New York, gets incorporated into prices in both markets. Cross-border competition for orderflow tends to reduce already declining spreads in London. By contrast, New York specialists maintain high spreads during the overlap. Overall, the evidence indicates that order flow for cross-listed securities is segmented.

Any admissible portfolio performance measure should satisfy four minimal conditions: it assigns zero performance to each reference portfolio and it is linear, continuous, and nontrivial. Such an admissible measure exists if and only if the securities market obeys the law of one price. A positive admissible measure exists if and only if there is no arbitrage. This article characterizes the (infinite) set of admissible performance measures. It is shown that performance evaluation is generally quite arbitrary. A mutual fund data set is also used to demonstrate how the measurement method developed here can be applied.

In this article, we present a new method for pricing and hedging American options along with an efficient implementation procedure. The proposed method is efficient and accurate in computing both option values and various option hedge parameters. We demonstrate the computational accuracy and efficiency of this numerical procedure in relation to other competing approaches. We also suggest how the method can be applied to the case of any American option for which a closed-form solution exists for the corresponding European option. Article published by Oxford University Press on behalf of the Society for Financial Studies in its journal, The Review of Financial Studies.

We compare acquisitions completed with and without investment bank advice over the 1981 to 1992 period. We find that the choice to use an investment bank depends on the complexity of the transaction, the type of transaction (takeovers versus acquisitions of assets), the acquiror’s prior acquisition experience, and the degree of diversification of the target firm. Although acquisition announcement returns are lower for firms using investment banks, this difference can be explained by differences in transaction characteristics. These results suggest that transaction costs are the main determinant of investment banking choice, followed by contracting costs and asymmetric information costs.

This article provides an exact Bayesian framework for analyzing the arbitrage pricing theory (APT). Based on the Gibbs sampler, we show how to obtain the exact posterior distributions for functions of interest in the factor model. In particular, we propose a measure of the APT pricing deviations and obtain its exact posterior distribution. Using monthly portfolio returns grouped by industry and market capitalization, we find that there is little improvement in reducing the pricing errors by including more factors beyond the first one.