Time Variation of Ex-Dividend Day Stock Returns and Corporate Dividend Capture: A Reexamination

This paper documents some empirical facts about ex-day abnormal returns to high dividend yield stocks that are potentially subject to corporate dividend capture. We find that average abnormal ex-dividend day returns are uniformly negative in each year after the introduction of negotiated commission rates and that time variation in ex-day returns during the negotiated commission rates era is consistent with corporate tax-based dividend capture. Ex-day returns are more negative when the tax advantage to corporate dividend capture is greatest and more positive when increases in transaction costs and risk reduce incentives to engage in corporate tax-based dividend capture.     

CHANGES IN TRADING ACTIVITY FOLLOWING STOCK SPLITS AND THEIR EFFECT ON VOLATILITY AND THE ADVERSE-INFORMATION COMPONENT OF THE BID-ASK SPREAD

We examine changes in trading activity around stock splits and their effect on volatility and the adverse-information component of the bid-ask spread. Even after controlling for microstructure biases, we find a significant increase in volatility after the split. Changes in total volatility and in its permanent component are positively related to changes in the number of trades. This suggests that both informed and noise traders contribute to changes in trading activity. Further, while the adverse-information component of the spread increases unconditionally after the split, the change is negatively related to the change in trading activity. The results suggest that a crucial determinant of liquidity changes after a stock split is the success of the split in attracting new trades in the security.     

Estimating the effects of information surprises and trading on stock returns using a mixed jump-diffusion model

I present a methodology that uses the mixed jump diffusion modelfor stock returns to estimate the separate effects of informationsurprises and strategic trading around corporate events. Usingsimulation techniques, I show that for events with multipleannouncements spread over a long time, the estimators derivedfrom the mixed jump-diffusion model are more powerful comparedto the traditional cumulative abnormal return estimators. Thenew methodology is used to study the separate effects of informationsurprises and strategic trading associated with block holdingsand subsequent targeted repurchases. I find that for more than93 percent of the firms in our sample the mixed jump-diffusionmodel is statistically superior to the pure diffusion modelin describing stock returns. More important, I find a statisticallysignificant negative effect due to trading while the averageeffect around announcements is statistically insignificant.In contrast, the standard cumulative abnormal return is notstatistically different from zero.     

The Effect of Fiduciary Standards on Institutions' Preference for Dividend‐Paying Stocks

Many researchers apparently believe that some institutional investors prefer dividend‐paying stocks because they are subject to the “prudent man” (PM) standard of fiduciary responsibility, under which dividend payments provide prima facie evidence that an investment is prudent. Although this was once accurate for many institutions, during the 1990s most states replaced the PM standard with the less‐stringent “prudent investor” (PI) rule, which evaluates the appropriateness of each investment in a portfolio context. Controlling for the general decline in dividend‐paying stocks, we find that institutions reduced their holdings of dividend‐paying stocks by 2% to 3% as the PI standard spread during the 1990s. Studies of asset pricing and corporate governance should no longer consider dividend payments when evaluating the actions of institutional investors.     

Stock Returns, Dividend Yields, and Taxes

Using an improved measure of a common stock's annualized dividend yield, we document that risk-adjusted NYSE stock returns increase in dividend yield during the period from 1963 to 1994. This relation between return and yield is robust to various specifications of multifactor asset pricing models that incorporate the Fama–French factors. The magnitude of the yield effect is too large to be explained by a "tax penalty" on dividend income and is not explained by previously documented anomalies. Interestingly, the effect is primarily driven by smaller market capitalization stocks and zero-yield stocks.     

Estimating Returns on Commercial Real Estate: A New Methodology Using Latent-Variable Models

Despite their widespreao use as benchmarks of U.S. commercial real estate returns, indexes produced by the National Council of Real Estate Investment Fiduciaries (NCREIF) are subject to measurement problems that severely impair their ability to capture the true risk–return characteristics–especially volatility–of privately held commercial real estate. We utilize latent-variable statistical methods to estimate an alternative index of privately held (unsecuritized) commercial real estate returns. Latent-variable methods have been extensively applied in the behavioral sciences and, more recently, in finance and economics. Unlike factor analysis or other unconditional statistical approaches, latent variable models allow us to extract interpretable common information about unobserved private real estate returns using the information contained in various competing measures of returns that are measured with error. We find that our latent-variable real estate return series is approximately twice as volatile as the aggregate NCREIF total return index, but less than half as volatile as the NAREIT equity index. Overall, our results strongly support the use of latent-variable statistical models in the construction of return series for commercial real estate.     

Do today's trades affect tomorrow's IPO allocations?

Underwriters using bookbuilding can allocate shares of initial public offerings (IPOs) on the basis of, among other things, commissions paid by investors. In testing the hypothesis that investors trade liquid stocks in order to affect their IPO allocations, we find that money left on the table by IPOs is related to the trading volume of the 50 most liquid stocks near the offer date. For an IPO that leaves $1 billion on the table, there is abnormal volume of 2.7% to 4.1% in the 50 most liquid stocks over the six days ending on the day that trading commences in that IPO, although only during the internet bubble period is this volume increase statistically significant.     

Government intervention and adverse selection costs in foreign exchange markets

An important group of traders in the foreign exchange marketis governments who often adhere to a foreign exchange rate policyof occasional interventions with otherwise floating rates. Inthis article we provide a theoretical model and empirical evidencethat government foreign exchange interventions create significantadverse selection problems for dealers. In particular, our modelshows that the adverse selection component of the foreign exchangespread is positively related to the variance of unexpected interventionand that expected intervention has no impact on the spread.After controlling for inventory and order processing costs,we find that bid-ask spreads increase with U.S. dollar and Germandeutsche mark foreign exchange rate intervention during theperiod 1976-1994. Furthermore, when the intervention is decomposedinto expected and unexpected components, we find a statisticallyand economically significant increase in spreads with the varianceof unexpected intervention, while expected intervention hasno significant impact on spreads.     

Estimation of the bid - ask spread and its components: a new approach

We show that time variation in expected returns and/or partialprice adjustments lead to a downward bias in previous estimatorsof both the spread and its components. We introduce a new approachthat provides unbiased and efficient estimators of the componentsof the spread. We find that between 77 and 97 percent of thedownward bias in previous spread estimate is caused by timevariation in expected returns. More importantly, the adverse-selectioncomponent, though significant, accounts for a much smaller proportion(8 to 13 percent) of the quoted spread, at least for small trades,than the proportion (over 40 percent) previously reported inthe literature. Order processing costs are the predominant componentof quoted spreads.