alternative measures of uncertainty. We also find that expected volatility reflects managers' private information about their … predictive power of expected volatility shrinks when managers have stronger incentives to manage earnings. Overall, we provide … forecast volatility …

empirical study has investigated the nexus between the analyst forecast dispersion (AFD) and excess returns surrounding stock …

propose a new measure of earnings forecast uncertainty as the sum of dispersion among analysts and the variance of mean … forecast errors estimated by a GARCH model. The new measure is based on both common and private information available to … forecast uncertainty in the literature. Using analysts' earnings forecasts, we find direct evidence of the new measure …

respective forecast accuracy and test whether the forecasted information are relevant to equity or debt markets. The results, in … terms of forecast accuracy in firm-level tests. This study finds that the opposing performance outcome appears to be driven …

This study examines the differential predictive power of past earnings volatility for analyst forecast errors and …-year horizons. In addition, we provide empirical evidence showing that forecast dispersion is a poor measure of earnings uncertainty …

. My main hypothesis is accounting-based drivers can be used to forecast future volatility incremental to either past …

forecasting power for firms' risk-factor exposures, implied costs of capital, liquidity, and future investments. We also apply our …