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Disaggregated Capital Expenditures

Authors: Brooke D. Beyer; Donald R. Herrmann; Eric T. Rapley;

Disaggregated Capital Expenditures

Abstract

SYNOPSIS Financial analysts and accounting regulators encourage companies to disclose the disaggregation of total capital expenditures (CAPX) into the portion for sustaining current performance (maintenance CAPX [MCAPX]) and the portion for pursuing additional opportunities (growth CAPX [GCAPX]). Using a hand-collected sample of voluntary disclosures, we document that traditional estimates of disaggregated CAPX components, using currently required financial statement disclosures, are inadequate proxies for actual (disclosed) values of MCAPX and GCAPX. Specifically, we find that estimation errors for disaggregated variables are associated with future financial performance (i.e., changes in sales and earnings), suggesting that disaggregated disclosure information is potentially useful in forecasting. We also find that these estimation errors are associated with analyst forecast revisions of sales and earnings per share, consistent with analysts incorporating disaggregated CAPX information into their forecasts. Our results provide evidence that disaggregated CAPX disclosures are superior to currently required aggregate CAPX disclosure for forecasting firms' financial performance.

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    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
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Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
8
Top 10%
Average
Average
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