We examine empirically the existence of speculative bubbles in U.S. stock prices and, by building on West's procedure, propose direct and computationally simple tests of the “nobubble” hypothesis. These tests are likely to be close to their nominal size in small samples and to have small sample power against a wide class of bubbles including those orthogonal to the dividend process. We apply the tests to long-term annual U.S. stock market data for the 1871–1981 and 1871–1988 periods. Contrary to West, we do not reject the “no-bubble” hypothesis. We offer an explanation as to the cause of discrepancy between the two results.

The paper uses a signalling equilibrium to explain the market's reaction to the announcement of a firm's financing decision. In our model, a firm can issue one of the following securities: convertible debt with a different conversion ratio, straight debt, and stock. We identify conditions under which the conversion ratio of a convertible debt issue serves as a credible signal of a firm's private information, given the continuous distribution of attributes (information) across firms. In this signalling equilibrium, we find that the lower the expected future earnings, the higher the conversion ratio of a convertible debt issue. At the limit, firms that expect the highest earnings will use straight debt financing, and firms that expect the lowest earnings will use equity financing. Based on the signalling equilibrium, we predict that at announcement of a convertible debt issue, negative abnormal common stock return increases in absolute value with the conversion ratio.

Despite nonstationarities in the factor betas and factor prices of the Chen, Roll, Ross (1986) multifactor model, investors are rewarded for bearing risks associated with the change in expected inflation and industrial production in non-January months; however, variations in these factors have opposite influences on stock prices. These findings may partially explain why several recent studies fail to detect a significant non-January risk premium in the stock market, but this evidence is only suggestive since theoretical and statistical difficulties prevent precise interpretations of specific pricing relations in the Chen, Roll, Ross model.

This paper considers the capital structure and debt maturity choice for a value-maximizing corporation. In the model, interest expense is tax deductible, bankruptcy is costly, and debt is fairly priced at issue. In contrast to the results of Kane, Marcus, and McDonald (1985), optimal debt maturity does not always approach zero in the absence of transaction costs, and is increasing in the volatility of the assets of the firm. The model predicts a positive association between the value of leverage and total risk in some circumstances.

Recent research finds that the prior period's worst stock return performers (losers) outperform the prior period's best return performers (winners) in the subsequent period. This potential violation of the efficient markets hypothesis is labeled the “overreaction” phenomenon. This paper shows that the tendency for losers to outperform winners is not due to investor overreaction, but to the tendency for losers to be smaller-sized firms than winners. When losers are compared to winners of equal size, there is little evidence of any return discrepancy, and in periods when winners are smaller than losers, winners outperform losers.

Critics argue that shelf registration greatly reduces the ability of underwriters to perform adequate due diligence. This argument suggests underwriters will demand greater compensation for shelf issues compared to such traditional issues as an insurance premium for protection against potential litigation or loss of reputation caused by inadequate due diligence. Our findings suggest the presence of such a premium, that the premium is higher for firms with higher expected due diligence liabilities, and that underwriters perceive that shelf registration erodes due diligence and, subsequently, price the due diligence erosion accordingly. This pricing behavior is consistent with our findings that firms with higher expected due diligence liabilities are more likely to choose traditional registration.

We examine the behavior of common stock prices after a large change in price occurs during a single trading day and find evidence that the stock market appears to have overreacted, especially in the case of price declines; however, the magnitude of the overreaction is small compared to the bid-ask spreads observed for the individual stocks in the sample. We interpret this finding as being consistent with a market that is efficient after transactions costs are considered.

Using the FPE/multivariate Granger-causality modeling technique, this paper tests whether changes in Canadian stock returns are caused by a number of economic variables, including base money and fiscal deficits. The empirical results from monthly data show that lagged changes in fiscal deficits, in particular, Granger-cause stock returns. If expected returns to equity are not time-varying, such a finding appears inconsistent with market efficiency.

Ofer and Natarajan (1987) report negative, statistically significant cumulative average abnormal returns over five years following convertible bond calls. We show that these results are obtained only if returns preceding the call dates are used for market model parameter estimation. Returns preceding calls tend to be positive and unusually large. This means that predicted post-call returns, based on pre-call parameter estimates, are biased upward. Consequently, the corresponding abnormal returns are biased downward. We also discuss a corrected test statistic. We conclude that the evidence does not indicate market inefficiency in the stock price reaction to convertible calls.

This paper presents an empirical analysis of firms that are delisted from a major stock exchange. The delisting process is described and stock price movements surrounding delisting are analyzed. For firms with prior announcements, equity values decline by approximately 8.5 percent on announcement day. For firms without prior announcements, a similar adjustment takes place between the last day of trading in the initial market and the close of the first day of trading in the new market. Four hypotheses concerning the decline in firm value are examined. These are the liquidity hypothesis, the management signalling hypothesis, the exchange certification hypothesis, and the downward sloping demand curve hypothesis. Evidence consistent with the liquidity hypothesis is presented in the paper. Unlike evidence on stock exchange listings, returns in the post-delisting period do not appear to be anomalous.

This paper examines the impact of the “Heard-on-the-Street” (HOTS) column of The Wall Street Journal on common stock prices. The results of the study indicate that the HOTS column appears to have an impact on stock prices on the publication day; however, we also find a smaller, but statistically significant, impact on two days preceding the publication. The significant abnormal returns on these days are associated with higher trading volume. The reaction of stock prices is symmetric with respect to the buy and sell recommendations, and the impact of single-company recommendations is greater than the impact of the multi-company recommendations.

This paper develops a methodology for term structure estimation from a no-arbitrage condition in markets with frictions. The methodology unifies existing estimation procedures, such as the regression and linear programming approaches, and substantially broadens the class of useful estimation techniques. The estimators derived in this way are capable of reflecting actual market conditions, such as the asymmetry in the tax treatment of long and short positions and the higher financial cost of establishing a short position. The methodology is derived by applying the conjugate duality theory of mathematical programming.

Cross-sectional and time series tests are performed to explain levels and changes in short interest. Explanatory variables and tests are chosen based on tax, arbitrage, and speculative reasons for going short. Short interest is found to follow a seasonal pattern that is weakly consistent with tax-based trading. Stocks with high betas and the existence of convertible securities or options tend to have higher levels of short interest, which is consistent with arbitrage efforts. For firms with traded options, there is a positive association between the month-to-month changes in option open interest and short interest. Prior months' returns and changes in short interest are positively related, but there is no relationship between changes in short interest and returns in the subsequent month.

A fundamental statistical test of serial independence developed by Ashley and Patterson (1986) to examine a possible form of serial dependence in daily stock returns is shown to be improperly constructed. As a consequence, the significance probabilities that they obtain are overstated. This paper presents a corrected version of their test. The test statistic obtained after correction is shown to possess the same limiting distribution as the Kolmogorov-Smirnov test statistic. Applying the corrected test procedure to data identical to that used by Ashley and Patterson, we find that their original null hypothesis can no longer be rejected at conventional significance levels.

We have confirmed that Corrado and Schatzberg's (1990) criticism of our test for serial independence in stock returns (Ashley and Patterson (1986)) is correct. The corrected results still favor rejection of the null hypothesis that the daily returns for several stocks (notably Holly Sugar (HLY) and E Systems (ESY)) are serially independent, but only at the 12-percent and 14-percent significance levels, respectively. Evidently, this kind of test is long on simplicity and intuitive appeal, but short on power.