Volatility expectations and disagreement

This paper examines the use of survey-based measures in volatility forecasting. We argue that an aggregate forecast built up from individual forecasts should be sum expected volatilities and dispersion mean return forecasts. data coming a repeated survey to capture expectations returns investors, produce Our are consistent quantitatively similar with based on GARCH implied models. result is robust both in-sample out-of-sample comparisons response news.