This paper provides empirical evidence on the determinants of corporate hedging decisions. The paper examines the evidence in light of currently mandated financial reporting requirements and, in particular, the constraints placed on anticipatory hedging. Data on hedging are obtained from 1992 annual reports for a sample of 3,022 firms. Out of the 771 firms classified as hedgers, 543 firms disclose information in their annual reports on their hedging activities; the remaining 228 firms report use of derivatives but no information on hedging activities. Based on the evidence, I draw the following conclusions with respect to the models of hedging: evidence is inconsistent with financial distress cost models; evidence is mixed with respect to contracting cost, capital market imperfections, and tax-based models; and evidence uniformly supports the hypothesis that hedging activities exhibit economies of scale.

Existing research finds little evidence of overinvestment by successfully acquired targets. This paper shows how samples drawn from completed takeovers are biased against finding overinvestment and documents evidence of overinvestment in targets that use a highly leveraged transaction to avoid a takeover. The evidence also suggests that these restructurings create value by mitigating the targets' overinvestment problems.

Market prices of developing country debt reflect investors' views of country repayment capacity as well as other debt-specific factors. To extract a measure of repayment capacity from debt prices, adjustments need to be made to account for: debt values being a concave function of repayment capacity; the specific terms of the debt agreement; and the presence of third-party guarantees. This paper derives a measure of repayment capacity by constructing a pricing model that takes these factors into account. Applying the model to Brady bonds issued by Mexico, we find that estimated repayment capacity often performs differently from the unadjusted bond prices. We demonstrate that other Mexican bonds can be priced fairly accurately on the basis of this repayment capacity measure.

This paper investigates the hypothesis that tough antitrust enforcement in the 1960s led firms to engage in diversification programs by preventing them from growing within their own industries. If true, diversification should have occurred more often when large firms merged than when small firms merged because small mergers were less likely to have received antitrust attention. Such a pattern is not observed in a sample of 549 acquisitions from 1968—diversification was equally common in large and small mergers. Survey evidence shows that diversification movements occurred in other industrialized nations where there was a loose antitrust environment. Both pieces of evidence suggest that antitrust played a minor role in the diversification movement.

This paper considers the pricing of multiclass commercial mortgage-backed securities. A contingent-claims pricing methodology that overcomes state variable dimensionality problems is developed to examine mortgage pools with many distinct underlying assets and whose loan cash flow values are subject to interest rate uncertainty. Security structure and the correlation structure of collateralizing assets within a pool are found to be important determinants of tranche price and required yield spread. By disentangling default loss risk from default-related call risk, we show it is possible that mezzanine investment classes may require lower yield spreads than higher priority investment classes. Of particular interest is the finding that reduced cash flow volatility obtained through pool diversification may actually decrease the value of the first-loss (junior) tranche. When examining the relationship of pool size and tranche value, we find that five to 10 distinct mortgages are required to realize most of the effects of asset diversification.

This paper examines trading volume on the Tokyo Stock Exchange. Traditional theory suggests that taxes create strong incentives to delay realization of capital gains and accelerate realization of losses. Contrary to the theory, we find strong evidence that turnover is higher for stocks with gains (winners) than for stocks with losses (losers). In particular, the winner stocks of keiretsu firms tend to have high end-of-fiscal-year turnover. This is true even when realizing gains could result in higher tax liabilities. We conclude that capital gains taxes have only a small impact on turnover in Japan. Other non-tax-related motives, especially window dressing, appear to dominate investor behavior. We find strong evidence that this window dressing is concentrated in the stock of keiretsu firms.

This study examines the wealth effects of convertible bond call announcements on stockholders, straight bondholders, and called and non-called convertible debtholders. We document that forced conversions are associated with a significant loss in firm value. The results suggest that convertible call announcements can trigger both negative signal and wealth transfer effects. We show that at least part of the negative effect on stock prices results from wealth transfer to straight bondholders. Our analysis also lends empirical validity to the common contention that called convertible bondholders suffer wealth expropriation due to the elimination of the premium. The wealth effect on non-called convertible debtholders is insignificant. Cross-sectional analysis reveals that the negative signal effect is important in explaining bond, stock, and firm excess returns. Finally, we present evidence that refutes the notion that bonds are called to relieve the firm from restrictive debt covenants.

This paper describes the application of the Principle of Maximum Entropy to the estimation of the distribution of an underlying asset from a set of option prices. The resulting distribution is least committal with respect to unknown or missing information and is, hence, the least prejudiced. The maximum entropy distribution is the only information about the asset that can be inferred from the price data alone. An extension to the Principle of Minimum Cross-Entropy allows the inclusion of prior knowledge of the asset distribution. We show that the maximum entropy distribution is able to accurately fit a known density, given simulated option prices at different strikes.

This paper derives and numerically simulates maximum likelihood estimators for the drift in several important diffusion price models. The time series convergence properties of these estimators are compared to those of standard estimators including the geometric and arithmetic means. Merton (1980) demonstrated that it is difficult to efficiently estimate the drift in a log-normal diffusion model. We qualify and strengthen his result by noting that his estimator is the maximum likelihood estimator and by applying our simulation results. However, we also demonstrate that it is possible to efficiently estimate the drift in other useful diffusion price models. In particular, by asking just how much time is needed in order for the maximum likelihood estimators of the drift in different diffusion processes to converge, these results qualify and quantify Black's (1993) statement that “we need such a long period to estimate the average that we have little hope of seeing changes in expected return."