2015
DOI: 10.1007/s11142-015-9345-8
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The informativeness of pro forma and street earnings: an examination of information asymmetry around earnings announcements

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Cited by 30 publications
(15 citation statements)
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References 71 publications
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“…For example, (1) managers can systematically exclude one‐time items in calculating non‐GAAP earnings to provide a more accurate depiction of core performance (Bhattacharya et al., ; Curtis et al., ; Lougee & Marquardt, ); (2) investors respond more to non‐GAAP than to GAAP metrics, suggesting greater reliance on non‐GAAP information than on GAAP information (e.g., Bhattacharya et al., ; Bradshaw & Sloan, ); and (3) researchers have found evidence suggesting that investors are not mislead by non‐GAAP reporting (Johnson & Schwartz, ), particularly in the post‐Reg. G time period (Chen, ; Huang & Skantz, ; Jennings & Marques, ; Whipple, ; Zhang & Zheng, ). More recently, Black et al.…”
Section: Regulatory Standard Setting and Academic Foundationsmentioning
confidence: 99%
“…For example, (1) managers can systematically exclude one‐time items in calculating non‐GAAP earnings to provide a more accurate depiction of core performance (Bhattacharya et al., ; Curtis et al., ; Lougee & Marquardt, ); (2) investors respond more to non‐GAAP than to GAAP metrics, suggesting greater reliance on non‐GAAP information than on GAAP information (e.g., Bhattacharya et al., ; Bradshaw & Sloan, ); and (3) researchers have found evidence suggesting that investors are not mislead by non‐GAAP reporting (Johnson & Schwartz, ), particularly in the post‐Reg. G time period (Chen, ; Huang & Skantz, ; Jennings & Marques, ; Whipple, ; Zhang & Zheng, ). More recently, Black et al.…”
Section: Regulatory Standard Setting and Academic Foundationsmentioning
confidence: 99%
“…Fourth, our paper contributes to research on non-GAAP earnings and information asymmetry. Huang and Skantz (2016) study the relationship between non-GAAP disclosure and information asymmetry. They find lower bid-ask spreads for firms reporting non-GAAP earnings.…”
Section: Introductionmentioning
confidence: 99%
“…However, our value relevance evidence is more consistent with the interpretation that existing benchmark-indicators of exclusion quality perform poorly and less consistent with the interpretation that persistence for future earnings is a poor means of assessing exclusion quality. 8 reduces information asymmetry (e.g., Huang and Skantz 2016). This evidence is consistent with managers systematically excluding irrelevant items in calculating non-GAAP earnings to provide a superior metric of firm performance (e.g., Black et al 2017;Entwistle et al 2005;Kyung et al 2016).…”
Section: Managers' Motivation For Providing Non-gaap Eps Metricsmentioning
confidence: 64%