This study explores the importance of capturing industry-specific distributional characteristics in analyses based on financial ratios. As a test case, the study replicates Palepu (1986), who employs financial ratios in logit models to investigate the usefulness of six acquisition hypotheses in predicting takeover targets. Without adjustment for industry-specific distributional characteristics, this study's findings are only consistent with one of the six acquisition hypotheses. After adjusting for distributional properties, the results are consistent with four of the six acquisition hypotheses. Furthermore, the adjusted model produces a classification accuracy significantly greater than chance, as well as significantly greater than that observed for the unadjusted model.

The present study investigated the association between faculty publication records and their point-based evaluations of finance journals. No relationship was detected between the merit points assigned to finance journals and the journal-specific success of the faculty rendering the journal ratings. However, a negative relationship was found between general publication success of faculty and the merit points they assigned to lowerlevel journal publications. The association was particularly strong for faculty who had published in the top three finance journals.

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