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Earnings forecasts can be useful for investment decisions. Research on earnings forecasts has focused on forecast performance in relation to firm characteristics, on categorizing the analysts into groups with similar behavior and on the effect of an earnings announcement by the firm on future...
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estimation methods, and examine the accuracy of initial and updated (or revised) government forecasts. An empirical example to … and inefficient estimation methods, as well as consistent and inconsistent covariance matrix estimates, can lead to …
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We analyze output growth risk with respect to financial conditions across U.S. manufacturing industries. Using a multi-level quantile regression approach, we find strong heterogeneity in growth risk, particularly between the more vulnerable durable goods sector and the more resilient nondurable...
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Macro-economic forecasts typically involve both a model component, which is replicable, as well as intuition, which is non-replicable. Intuition is expert knowledge possessed by a forecaster. If forecast updates are progressive, forecast updates should become more accurate, on average, as the...
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