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Aggregate Earnings and Recession Predictability

Authors: Shiu-Sheng Chen; I-Hsuan Chiang; Yu-hsi Chou; Chia-Yi Yen;

Aggregate Earnings and Recession Predictability

Abstract

We examine whether aggregate earnings contain macroeconomic information content about U.S. recessions. We find that a one-standard-deviation decline in aggregate earnings growth raises the probability of a recession in the subsequent quarter by up to 8.3%. This predictive ability is incremental to conventional recession predictors and is primarily driven by negative earnings growth, consistent with accounting conservatism. The predictive signal is concentrated in cyclically sensitive sectors, whereas earnings from noncyclical sectors exhibit little predictive content. Although aggregate special items growth displays modest short-term predictive power, their contribution diminishes over longer horizons. Overall, our findings highlight that aggregate earnings can capture macroeconomic tail risk and provide useful signals for transitions into recessionary states.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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