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Does revenue-expense matching play a differential role in analysts’ earnings and revenue forecasts?

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  • Kim, Robert
  • Kim, Sangwan

Abstract

This paper investigates whether matching has differential implications for the accuracy of analysts' earnings and revenue forecasts. We construct a novel measure of firm-level matching and document that matching improves analysts' earnings forecasts to a greater extent than their revenue forecasts. We also document matching's differential impact on analysts' earnings and sales forecasts by proposing a new count metric capturing a wedge in the accuracy of earnings and revenue forecasts. In additional tests, we report that the differential impact of matching is less (more) pronounced in a situation where the balance sheet (income statement) orientation likely dominates. We also report that matching's differential role is weaker (stronger) when firms have high intangible intensity (analysts have appropriate resources or expertise). In short window tests, matching's role in analysts' forecast revisions is more pronounced for earnings than sales forecasts. Overall, these results show how analysts benefit from better revenue-expense matching.

Suggested Citation

  • Kim, Robert & Kim, Sangwan, 2021. "Does revenue-expense matching play a differential role in analysts’ earnings and revenue forecasts?," The British Accounting Review, Elsevier, vol. 53(5).
    • Handle: RePEc:eee:bracre:v:53:y:2021:i:5:s0890838921000597
    DOI: 10.1016/j.bar.2021.101033
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    More about this item

    Keywords

    Analyst forecasts; Forecast accuracy; Matching; Predictive value; Revenue forecasts;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting

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