We analyze the quality of macroeconomic survey forecasts. Recent findings indicate that they are anchoring biased. This irrationality would challenge the results of a wide range of empirical studies, e.g., in asset pricing, volatility clustering or market liquidity, which rely on survey data to...

Standard equity valuation approaches (i.e., DDM, RIM, and DCF model) are derived under the assumption of ideal conditions, such as infinite payoffs and clean surplus accounting. Because these conditions are hardly ever met, we extend the standard approaches, based on the fundamental principle of...

Recent findings indicate that macroeconomic survey forecasts are anchoring biased and therefore are inefficient. However, despite highly significant test coefficients a bias adjustment does not improve forecasts' quality. We find that the cognitive bias is a statistical artifact and that the...

We introduce a novel framework to predict the relative accuracy of sell-side analysts' annual earnings forecasts out-of-sample. Prior studies only evaluate forecasts shortly before the corresponding earnings release. In contrast, our study is the first to provide long-term predictions which are...

We substantially improve cross-sectional earnings forecast models, such as Hou, van Dijk, and Zhang (2012), by enriching their information sets by an interim earnings growth measure extracted from quarterly reports. This yields significantly more accurate out-of-sample earnings forecasts and...