Knowledge that Transforms

This paper provides empirical estimates of the stock market reaction to tender offers, both successful and unsuccessful. The impact of the tender offer on the returns to stockholders of both bidding and target firms is examined. The evidence indicates that for the twelve months prior to the tender offer stockholders of bidding firms earn significant positive abnormal returns. In the month of the offer, only successful bidders earn significant positive abnormal returns. Stockholders of both successful and unsuccessful targe firms earn large positive abnormal returns from tender offers, and most of these returns occur in the month of the offer. For all classes of firms, there is no significant post-offer market reaction. The market reaction to ‘clean-up’ tender offers is also estimated and target stockholders again earn significant positive abnormal returns.

Stock exchange seats are important assets for securities brokers since they provide access to centralized secondary trading markets for corporate securities at a reduced cost. This paper provides empirical evidence on the dynamic behavior of monthly New York and American Stock Exchange seat prices over the 1926–1972 period. Specifically, evidence is presented which: (a) is consistent with a multiplicative random walk model for seat prices; (b) indicates that unexpected changes in the prices of exchange-listed stocks or in the volume of shares traded on the exchange are important new information about the value of seats in each month; and (c) indicates that the market for seats is efficient in assimilating new information and quickly incorporates new information into the prices of seats. In addition, we examine the effect of the infrequent trading of seats on the statistical properties of the models.

Some mean/variance efficient portfolios will have positive investments in all individual assets when covariances satisfy the conditions given here. These conditions are more useful empirically than qualitative results that depend on the inverse covariance matrix. The prospect appears dim for general and useful qualitative results.

Savings bonds, retractable bonds and callable bonds are each equivalent to a straight bond with an option. Neglecting default risk the value of these contingent claims depends upon the riskless interest rate. This paper employs the option pricing framework to value these bonds, under the assumptions that the interest rate follows a Gauss-Wiener process and that the pure expectations hypothesis holds.

This paper examines the behavior of corporate bond prices during the period surrounding the announcement of a rating change. We find some evidence of price change during the period from 18 to 7 months before the rating change is announced. We find no evidence of any reaction during the 6 months prior to the rating change. We also find little reaction, if any, during the month of the change or for 6 months after the change. This evidence contradicts the recent findings of Katz and Grier and Katz.

This paper examines the pricing of convertible bonds and preferred stocks. The optimal policies for call and conversion of these securities are determined via the criterion of dominance. The techniques underlying the Black-Scholes Option Model are used to price convertible securities as contingent claims on the firm as a whole.

This paper develops optimal portfolio choice and market equilibrium when investors behave according to a generalized lexicographic safety-first rule. We show that the mutual fund separation property holds for the optimal portfolio choice of a risk-averse safety-first investor. We also derive an explicit valuation formula for the equilibrium value of assets. The valuation formula reduces to the well-known two-parameter capital asset pricing model (CAPM) when investors approximate the tail of the portfolio distribution using Tchebychev's inequality or when the assets have normal or stable Paretian distributions. This shows the robustness of the CAPM to safety-first investors under traditional distributional assumptions. In addition, we indicate how additional information about the portfolio distribution can be incorporated to the safety-first valuation formula to obtain alternative empirically testable models.

This paper examines some implications of using an estimate of the variance in option valuation models. This procedure produces biased option values. It is shown that the magnitude of this bias is not large. The dispersion induced in the option price is more significant particularly for parameter values of practical interest. The nature and extent of this dispersion is examined by numerical examples. The paper suggests how a Bayesian approach could be used to cope with the estimation error.