profit margin provide incremental information for predicting changes in future return on assets. After controlling for …

earnings forecasters, we see that small adjustments to the model forecasts lead to more forecast accuracy. Based on past track …

. Disclosure by managers of expected earnings are particularly important communications, and as such, it is important to understand … the stock return volatility, first, at the release of a management earnings forecast, and second, at the eventual … surrounding a management earnings forecast for those firms who release them compared to a matched-firm sample of firms without a …

association between analyst forecast error magnitude/dispersion and aggregate reported intangibles previously documented becomes …

formulate more accurate forecasts of earnings. Managers may attempt to corroborate their forecasts with other information, such … as sales, EBIT, or cash flows, when forecasts are inherently less credible due to large forecast surprise or good news. I … predict and find that analysts make larger forecast revisions when other information is included with a surprising management …

By decomposing analysts' forecast errors into common and idiosyncratic components, we develop a simple model aimed at … explaining the relationship between forecast uncertainty and analyst dispersion. Under this framework, we propose a new measure … of earnings forecast uncertainty as the sum of dispersion among analysts and the variance of mean forecast errors …

estimates when quality of firm financial reporting is low. The disaggregation happens because, compared to EPS forecast accuracy …, revenue forecast accuracy is less adversely affected by poor reporting quality. Consequently, when reporting quality is low … that the price reaction to EPS forecast revisions is lower for firms with poor reporting quality. However, the price …

assessment is relative to extrapolative time-series models of earnings forecasts. The paper's results show that the forecast … on extrapolative models' forecast errors is stronger than on analysts'. This finding is consistent with analysts' better … ability relative to extrapolative models to forecast the earnings of intangible firms, and with analysts' ability to process …