Abarbanell and Lehavy provide evidence that analysts’ forecast errors are not normally distributed exhibiting a high occurrence of extreme negative forecast errors (left-tail asymmetry) and a high occurrence of small positive forecast errors (middle asymmetry). This is important for researchers who rely on techniques that are sensitive to the distributional assumptions of analysts’ forecast errors. Many of the conclusions drawn by Abarbanell and Lehavy, however, are based on visual impressions (as opposed to formal empirical tests) or based on methods that are very sensitive to the empirical methods used (e.g., whether the serial correlation of forecast errors is caused by the left-tail asymmetry).

In this study, we document evidence on the relation between auditor tenure and earnings quality using the dispersion and sign of both absolute Jones-model abnormal accruals and absolute current accruals as proxies for earnings quality. Our study is motivated by calls for “mandatory auditor rotation,” which are based on concerns that longer auditor tenure reduces earnings quality. Multivariate results, controlling for firm age, size, industry growth, cash flows, auditor type (Big N versus non-Big N), industry, and year, generally suggest higher earnings quality with longer auditor tenure. We interpret our results as suggesting that, in the current environment, longer auditor tenure, on average, results in auditors placing greater constraints on extreme management decisions in the reporting of financial performance.