Abstract
We provide evidence that the idiosyncratic predictability of a given forecast objective has to be taken into account analyzing the association between analyst characteristics and macroeconomic forecast accuracy. Model performance heavily depends on idiosyncratic predictability because for virtually unpredictable series analyst do not benefit from their skills and resources. Only for predictable series these characteristics have a positive influence on forecast accuracy highlighting the importance of a proper differentiation. Following a recent research design from the equity analyst research literature we document that especially inherent analyst characteristics, i.e. experience and general ability contribute to higher forecast accuracy. However, decreasing predictability of macroeconomic indicators leads to diminishing accuracy benefits of inherent characteristics and makes individual characteristics
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