2017
DOI: 10.1111/1911-3846.12293
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Credit Rating Agency and Equity Analysts’ Adjustments to GAAP Earnings

Abstract: Moody's analysts and sell-side equity analysts adjust GAAP earnings as part of their research. We show that adjusted earnings definitions of Moody's analysts are significantly lower than those of equity analysts when companies exhibit higher downside risk, as measured by volatility in idiosyncratic stock returns, volatility in negative market returns, poor earnings, and loss status. Relative to the adjusted earnings definitions of equity analysts, adjusted earnings definitions of Moody's analysts better predic… Show more

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Cited by 13 publications
(3 citation statements)
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“… 2010 ) and differences between APMs and street earnings (e.g., Bentley et al. 2018 ; Batta and Muslu 2017 ).…”
Section: Results: Insights and Critiquementioning
confidence: 99%
“… 2010 ) and differences between APMs and street earnings (e.g., Bentley et al. 2018 ; Batta and Muslu 2017 ).…”
Section: Results: Insights and Critiquementioning
confidence: 99%
“…Further analysis shows that the mean and median earnings forecast revisions are significantly negative to rating affirmations in all prior rating categories. One plausible explanation for this result is that since credit rating agencies are more conservative in terms of interpreting firm performance than equity analysts (Batta and Muslu, 2017), rating affirmations play some role in correcting equity analysts' optimism underlying their earnings forecasts.…”
Section: Earnings Forecast Revision To Rating Affirmationsmentioning
confidence: 99%
“…Not that the difficulty has stopped standard-setters from trying, as the long-running shown to be superior to GAAP earnings. Batta and Muslu (2017) find that credit rating agencies make adjustments that better predict bankruptcies. Industry-specific metrics are also shown to provide decision-useful information, for example, funds from operations for real estate investment trusts (Baik et al, 2008), distributable cash for income trusts (Cormier et al, 2011), and revenuepassenger-miles for airlines (Francis et al, 2003).…”
Section: Informative Motivationsmentioning
confidence: 99%