This paper examines problems in the CRSP Survivor Bias Free U.S. Mutual Fund Database (CRSP, 1998) and compares returns contained in it to those in Morningstar. The CRSP database has an omission bias that has the same effects as survivorship bias. Although all mutual funds are listed in CRSP, return data is missing for many and the characteristics of these funds differ from the populations. The CRSP return data is biased upward and merger months are inaccurately recorded about half the time. Differences in returns in Morningstar and CRSP are a problem for older data and small funds.

Changes in the capital gains tax rules facing individual investors do not affect the incentives for “window dressing” by institutional investors, but they can affect the incentives for year‐end tax–induced trading by individual investors. Empirical evidence for the 1963 to 1996 period suggests that when the tax law encouraged taxable investors who accrued losses early in the year to realize their losses before year‐end, the correlation between early year losses and turn‐of‐the‐year returns was weaker than when the law did not provide such an early realization incentive. These findings suggest that tax‐loss trading contributes to turn‐of‐the‐year return patterns.

The purpose of this article is to explain the spread between rates on corporate and government bonds. We show that expected default accounts for a surprisingly small fraction of the premium in corporate rates over treasuries. While state taxes explain a substantial portion of the difference, the remaining portion of the spread is closely related to the factors that we commonly accept as explaining risk premiums for common stocks. Both our time series and cross‐sectional tests support the existence of a risk premium on corporate bonds.

We investigate the expectations hypotheses of the term structure of interest rates and of the foreign exchange market using vector autoregressive methods for U.S. dollar, Deutsche mark, and British pound interest rates and exchange rates. We examine Wald, Lagrange multiplier, and distance metric tests by iterating on approximate solutions that require only matrix inversions. Bias‐corrected, constrained VARs provide Monte Carlo simulations. Wald tests grossly overreject the null, Lagrange multiplier tests slightly underreject, and distance metric tests overreject. A common interpretation emerges from the small sample statistics. The evidence against the expectations hypotheses is much less strong than under asymptotic inference.

Investors in hedge funds and commodity trading advisors (CTAs) are concerned with risk as well as return. We investigate the volatility of hedge funds and CTAs in light of managerial career concerns. We find an association between past performance and risk levels consistent with previous findings for mutual fund managers. Variance shifts depend upon relative rather than absolute fund performance. The importance of relative rankings points to the importance of reputation costs in the investment industry. Our analysis of factors contributing to fund disappearance shows that survival depends on absolute and relative performance, excess volatility, and on fund age.

Using dealer's quotes and transactions prices on straight industrial bonds, we investigate the determinants of credit spread changes. Variables that should in theory determine credit spread changes have rather limited explanatory power. Further, the residuals from this regression are highly cross‐correlated, and principal components analysis implies they are mostly driven by a single common factor. Although we consider several macroeconomic and financial variables as candidate proxies, we cannot explain this common systematic component. Our results suggest that monthly credit spread changes are principally driven by local supply/demand shocks that are independent of both credit‐risk factors and standard proxies for liquidity.

We propose regression‐based tests for mean‐variance spanning in the case where investors face market frictions such as short sales constraints and transaction costs. We test whether U.S. investors can extend their efficient set by investing in emerging markets when accounting for such frictions. For the period after the major liberalizations in the emerging markets, we find strong evidence for diversification benefits when market frictions are excluded, but this evidence disappears when investors face short sales constraints or small transaction costs. Although simulations suggest that there is a possible small‐sample bias, this bias appears to be too small to affect our conclusions.

We document a striking positive stock price reaction to the announcement of corporate name changes to Internet‐related dotcom names. This “dotcom” effect produces cumulative abnormal returns on the order of 74 percent for the 10 days surrounding the announcement day. The effect does not appear to be transitory; there is no evidence of a postannouncement negative drift. The announcement day effect is also similar across all firms, regardless of the firm's level of involvement with the Internet. A mere association with the Internet seems enough to provide a firm with a large and permanent value increase.