The divesting of corporate assets has become quite popular. Previous studies of divestitures have found conflicting impacts upon shareholders' wealth of the buying firm. This study measures the impacts of product‐line relatedness between the acquiring firm and the divested unit and financial weakness of the selling firm upon the abnormal returns to the acquiring firm. Although the study finds that the impact of financial strength of the seller is ambiguous, the purchase of related assets produces more wealth than does the purchase of unrelated divested units. Further, firms that purchase related divested units have larger proportions of insider ownership.

This paper applies the multi‐period investment model to a universe of international securities on the basis of the simple probability assessment approach. Our principal findings are: 1) the gains from including non‐U.S. asset categories in the universe were remarkably large (in some cases statistically significant), especially for the highly risk‐averse strategies, 2) the gains from removing the no leverage constraint were more substantial than they were in the absence of non‐U.S. securities, and 3) there is strong evidence of market segmentation in that the optimal levels of investment in U.S. securities were mostly zero in the presence of the non‐U.S. asset categories.

Financial classification issues, and particularly the financial distress problem, continue to be subject to vigorous investigation. The corporate credit granting process has not received as much attention in the literature. This paper examines the relative effectiveness of parametric, nonparametric and judgemental classification procedures on a sample of corporate credit data. The judgemental model is based on the Analytic Hierarchy Process. Evidence indicates that (nonparametric) recursive partitioning methods provide greater information than simultaneous partitioning procedures. The judgemental model is found to perform as well as statistical models. A complementary relationship is proposed between the statistical and the judgemental models as an effective paradigm for granting credit.

In a previous paper, we found systematic price reversals for stocks that experience extreme long‐term gains or losses: Past losers significantly outperform past winners. We interpreted this finding as consistent with the behavioral hypothesis of investor overreaction. In this follow‐up paper, additional evidence is reported that supports the overreaction hypothesis and that is inconsistent with two alternative hypotheses based on firm size and differences in risk, as measured by CAPM‐betas. The seasonal pattern of returns is also examined. Excess returns in January are related to both short‐term and long‐term past performance, as well as to the previous year market return.

In a previous paper, we found systematic price reversals for stocks that experience extreme long-term gains or losses: Past losers significantly outperform past winners. We interpreted this finding as consistent with the behavioral hypothesis of investor overreaction. In this follow-up paper, additional evidence is reported that supports the overreaction hypothesis and that is inconsistent with two alternative hypotheses based on firm size and differences in risk, as measured by CAPM-betas. The seasonal pattern of returns is also examined. Excess returns in January are related to both short-term and long-term past performance, as well as to the previous year market return.