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We study the predictive ability of individual analyst target price changes for post-event abnormal stock returns within each recommendation category. Although prior studies generally demonstrate the investment value of target prices, we find that target price changes do not cause abnormal...
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We introduce a new way to measure the forecast effort that analysts devote to their earnings forecasts by measuring the analyst's general effort for all covered firms. While the commonly applied effort measure is based on analyst behavior for one firm, our measure considers analyst behavior for...
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We analyze the quality of macroeconomic survey forecasts. Recent findings indicate that theyare anchoring biased. This irrationality would challenge the results of a wide range ofempirical studies, e.g., in asset pricing, volatility clustering or market liquidity, which rely onsurvey data to...
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Analysts providing more accurate earnings forecasts also issue moreprofitable recommendations. We demonstrate how investors can profit fromthis contemporaneous link by differentiating between “able” and “lucky”analysts. In line with previous studies, we find that past track records...
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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...
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