This paper examines the relation between the market reaction to primary seasoned equity offerings and alternative measures of the profitability of the issuing firm's growth opportunities. While the sample offerings display a positive relation between announcement period prediction errors and several ex ante measures of growth opportunities, this relation is not monotonic and appears to be driven by a small subset of younger, higher growth firms, whose announcement effects are insignificantly different from zero. For the remainder of the sample firms, there is no relation between the estimated profitability of new investment and the market reaction to announced equity offerings. Moreover, announcement effects are nonpositive regardless of how profitable investment opportunities are expected to be. These findings collectively suggest that investment opportunities play, at best, a minor role in explaining the cross-sectional distribution of equity offering announcement effects.

This paper provides an explanation for why firms may choose to simultaneously issue multiple debt claims with varying maturities. The optimal mix of short- and long-term debt allows the firm to precommit to a more efficient liquidation policy. Even in risk-neutral settings, the optimal mix hinges critically on the mean and the variability of the firm's liquidation value. Determining the optimal mix of debt is more complex than just weighing the costs of issuing short- or long-term debt exclusively. The implications of alternate priority structures, informational settings, interest rate uncertainty, and maturity matching strategies are also considered.

This paper considers the problem of a financial institution that needs to hedge a stream of state-contingent cash flows while facing borrowing and short-sales restrictions. The study determines analytically the strategy that minimizes the initial cost of hedging the desired cash flow, which is also the upper bound on its market price, and shows that the impact of leverage constraints on the cost of hedging call and put options is significant and, therefore, the biases detected by tests of option pricing models may not represent arbitrage opportunities. The paper also shows that with credit limits, it is optimal to reduce the rate of trading; thus, these constraints need to be recognized when estimating the trading volume generated in replicating contingent payoffs such as portfolio insurance.

This paper develops the parametric restrictions imposed on diffusion state processes by the requirement of arbitrage-free asset pricing. Using the equivalent martingale measure as a starting point, the diffusion property is exploited to specify the shadow pricing function, which takes conditional state variable probabilities under the reference measure into arbitrage-free contingent claim prices. The main results of the paper provide differential equations associated with the shadow price function that are used to identify restrictions on the parameters of assumed diffusion processes. The paper concludes with an application to the CIR model where the state variable, the instantaneous interest rate, is assumed to follow a square root process. Calculations are also provided for the parametric restrictions imposed on the Brownian bridge and OU state variable processes.

This paper studies a new theory for pricing options in a large trader economy. This theory necessitates studying the impact that derivative security markets have on market manipulation. In an economy with a stock, money market account, and a derivative security, it is shown, by example, that the introduction of the derivative security generates market manipulation trading strategies that would otherwise not exist. A sufficient condition is provided on the price process such that no additional market manipulation trading strategies are introduced by a derivative security. Options are priced under this condition, where it is shown that the standard binomial option model still applies but with random volatilities.

It is well known that stock returns, on average, are negative on Mondays. Yet, it is less well known that this finding is substantially the consequence of returns in prior trading sessions. When Friday's return is negative, Monday's return is negative nearly 80 percent of the time with a mean return of −0.61 percent. When Friday's return is positive, the subsequent Monday's mean return is positive, 0.11 percent. This relationship is stronger than for any other pair of trading days and is most acute in small- and medium-size companies. The trading behavior of individual investors appears to be at least one factor contributing to this pattern. Individual investors are more active sellers of stock on Mondays, particularly following bad news in the market.

Monte Carlo procedures are used to compare the finite sample performance of several estimators that may be used in cross-sectional regressions with security abnormal returns as the dependent variable. Alternative models of event-induced increases in stock return variance are examined for the “event-clustering” scenario. Event clustering implies crosssectional correlation and heteroskedasticity in market model prediction errors, violating one of the fundamental ordinary least squares (OLS) assumptions (i.i.d. disturbances). Nonetheless, provided that the conditions for asymptotic validity derived by Greenwald (1983) are met, the OLS estimator is well specified in finite samples. Further, for sufficiently large cross sections there is no advantage to several other more complex estimators.

Empirical immunization studies have considered the efficacy of immunization strategies, in which the durations of assets and of liabilities are equated, against a strategy involving maturity matching. However, all these studies have ignored tax effects. In the presence of tax-clientele effects, immunization requires that the portfolio consists only of bonds that are correctly priced for a particular clientele. Testing for these effects, therefore, requires the identification of the correctly priced bonds for the investors in the clientele. However, since bond prices contain noise, determining these bonds is still an unresolved problem. Consequently, an empirical test of the magnitude of the error caused by ignoring taxes may be an impossible task in some markets, and indeed has never been conducted. The Canadian bond market provides perfect laboratory conditions for such a test. Tax-clientele effects are present in the Canadian market, and among the clienteles is a representative clientele. This paper examines the tax effects on immunization strategies. The results show that the error caused by ignoring tax effects is not negligible, and practitioners should use immunization with reference to tax effects.