Tilting the evidence: the role of firm-level earnings attributes in the relation between aggregated earnings and gross domestic product

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作者
Ryan T. Ball
Lindsey Gallo
Eric Ghysels
机构
[1] University of Michigan,Stephen M. Ross School of Business
[2] University of North Carolina at Chapel Hill,Department of Economics
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关键词
Gross domestic product; Aggregated earnings; Tilt; Mixed data sampling; E00; E01; M41;
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摘要
We examine whether the contribution of firm-level accounting earnings to the informativeness of the aggregate is tilted towards earnings with specific financial reporting characteristics. Specifically, we investigate whether considering the smoothness of firm-level earnings increases the informativeness of aggregate earnings for future real GDP, and if so, whether macroeconomic forecasters use this information efficiently. Using recently-developed mixed data sampling methods, we find that the aggregate is tilted towards firms with smoother earnings and that this composition of aggregate earnings outperforms traditional weighting schemes. Further, this tilted aggregate has a stronger positive association with forecast revisions; in fact, analysts who utilize earnings the most in their forecasts appear to fully impound the informativeness of earnings smoothness. Our results synthesize and span parallel yet distinct streams of research on the role of accounting earnings in firm-level and macroeconomic outcomes and suggest an important role for financial reporting characteristics in the aggregate.
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页码:570 / 592
页数:22
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