Causes and Consequences of Disaggregating Earnings Guidance

Whether managers should provide earnings guidance, especially quarterly guidance, has been a hotly debated policy issue. Influential organizations have urged firms to stop providing earnings guidance to reduce earnings fixation and short‐termism in the capital markets. Little attention has been paid to an alternative proposal: instead of ceasing earnings guidance, companies could provide disaggregated earnings guidance. No archival evidence exists regarding the determinants of disaggregated earnings guidance and its effects on the firm and its information environment. We find that once managers provide guidance, the decision to disaggregate this guidance is primarily driven by demand‐and‐supply factors that exhibit little change from year to year rather than by strategic factors. We find more timely analyst forecast revisions (with no compromise of forecast accuracy), a greater magnitude of revisions, and a larger reduction in analyst disagreement for disaggregating firms than for non‐disaggregating firms. These findings suggest that disaggregation enriches a firm's information environment. We also find that disaggregation helps managers align analyst expectations with their own, but firms are punished by investors for providing multiple performance targets but missing them.     

Analysts Earnings Forecasts and the Roles of Earnings and Book Value in Equity Valuation

This study examines the effect of the degree of association between current earnings and expected future earnings on the relative importance of earnings and book value for explaining equity price. Consensus analysts forecasts of one-year-ahead earnings are used to proxy for expected future earnings and are compared to reported current earnings to measure the degree of the association. We find that the value-relevance of current earnings negatively correlates with the extent to which consensus analysts forecasts deviate from current earnings. We also find that the incremental explanatory power of book value for equity price positively correlates with this measure. These results remain robust after controlling for factors known to be affecting the value-relevance of earnings such as negative earnings and the earnings-to-book ratio. Our results also show that this analysts' forecast-based measure of `earnings persistence' dominates historical earnings variance in explaining cross-sectional variations in the value-relevance of earnings and book value.     

The Accrual Effect on Future Earnings

Earnings manipulation has become a widespread practice for US corporations. However, most studies in the literature focus on whether certain incentives would facilitate managers to manipulate earnings and there has been little evidence documenting the consequences of earnings manipulation. This paper fills this gap by examining how current accruals affect future earnings (the accrual effect) and measuring the size of this effect. We find that the aggregate future earnings will decrease by $0.046 and $0.096, respectively, in the next one and three years for a $1 increase of current accruals. Over the very long-term (25 years), 20% of current accruals will reverse. This negative accrual effect is more significant for firms with high price-earnings ratios, high market-to-book ratios and high accruals where earnings management is more likely to occur. We show that incorporating the accrual effect is useful in improving the accuracy of earnings forecasts for these firms. Accordingly, the empirical results are consistent with the notion that earnings management causes the negative relationship between current accruals and future earnings. In addition, this paper shows that one recently developed accrual model has better performance than the popularly cited model in identifying manipulated earnings.     

Earnings Surprises,Growth Expectations,and Stock Returns or Don't Let an Earnings Torpedo Sink Your Portfolio

We provide new evidence that the inferior returns to growth stocks relative to value stocks are the result of expectational errors about future earnings performance. Our evidence demonstrates that growth stocks exhibit an asymmetric response to earnings surprises. We show that while growth stocks are at least as likely to announce negative earnings surprises as positive earnings surprises, they exhibit an asymmetrically large negative price response to negative earnings surprises. After controlling for this asymmetric price response, we find no remaining evidence of a return differential between growth and value stocks. We conclude that the inferior return to growth stocks is attributable to overoptimistic expectational errors that are corrected through subsequent negative earnings surprises.     

The Differential Value Relevance of S&P's Core Earnings Versus GAAP Earnings: The Role of Stock Option Expense

In 2002, Standard & Poor's (S&P) introduced Core Earnings as a proprietary, uniform earnings metric, with the goal of improving financial reporting. The distinguishing feature of Core Earnings is its consistent treatment of seven adjustments to GAAP earnings for which there is no consensus adjustment by managers and analysts. We use stock price and return data to assess whether investors perceive Core Earnings to be more value relevant than GAAP earnings. The implementation of FASB 123R changed the calculation of GAAP and Core Earnings. This change allows us to assess the role of stock option expense in the valuation of earnings numbers by partitioning the sample into pre‐ and post‐FASB 123R periods and creating consistent measures of GAAP and Core Earnings. Our price results indicate that Core Earnings is more value relevant than GAAP earnings in the pre‐period after controlling for stock option expense, and in the post‐FASB 123R periods. The price results provide empirical evidence consistent with S&P's expectation that a uniformly calculated earnings measure is a more consistent and useful indicator of current performance and future earnings.     

The Predictive Value of Expenses Excluded from Pro Forma Earnings

We investigate the informational properties of pro forma earnings. This increasingly popular measure of earnings excludes certain expenses that the company deems non-recurring, non-cash, or otherwise unimportant for understanding the future value of the firm. We find, however, that these expenses are far from unimportant. Higher levels of exclusions lead to predictably lower future cash flows. We also find that investors do not fully appreciate the lower cash flow implications at the time of the earnings announcement. A trading strategy based on the excluded expenses yields a large positive abnormal return in the years following the announcement, and persists after controlling for various risk factors and other anomalies.     

The Impact of Earnings Guidance Cessation on Information Asymmetry

This paper studies the impact of quarterly earnings guidance cessation on information asymmetry using a large sample of firms during the years 2002–11. After earnings guidance cessation, information asymmetry may increase because less information is provided to the market. Alternatively, information asymmetry may decrease if managers have less pressure to manage reported earnings to meet guidance numbers. Our study shows guidance cessation significantly reduces information asymmetry compared to matched non‐guiders and guidance maintainers. We also find that firms engage in less earnings management after guidance cessation, especially for firms that had provided guidance on a persistent basis.     

Sustained Earnings and Revenue Growth,Earnings Quality,and Earnings Response Coefficients

We show that firms reporting sustained increases in both earnings and revenues have (1) higher quality earnings and (2) larger earnings response coefficients (ERCs) in comparison to firms reporting sustained increases in earnings alone. With respect to earnings quality, firms with revenue-supported increases in earnings have more persistent earnings, exhibit less susceptibility to earnings management, and have higher future operating performance. With respect to response coefficients, firms with revenue-supported increases in earnings have both higher ERCs and lower book value response coefficients, consistent with the implications of the Ohlson (1995, Contemporary Accounting Research 12, 661–687) model.JEL Classification: G12, M41     

Asset Disposal as a Method of Real Earnings Management: Evidence from the UK

We examine asset sales as a method of real earnings management around the benchmarks of loss avoidance and last year's earnings. Evidence is reported of asset sales to boost or reduce earnings near the benchmark of last year's earnings. For the zero earnings benchmark our results are moderated by the opening balance of accruals: only firms with high levels of accruals use asset sales to boost earnings to avoid a loss and only firms with low levels of accruals use asset sales as part of a big bath. We suggest that firms with high accrual balances find it difficult to use additional income-increasing accruals but find it more convenient to write off accruals rather than sell assets to artificially reduce earnings. International Financial Reporting Standards (IFRS) are associated with reduced use of asset sales for gains and especially with reduced asset sales for losses. We ascribe this to IFRS introducing additional judgement and estimation in relation to the valuation of both long-lived and current assets on a recurring basis.     

Do Analysts Disclose Cash Flow Forecasts with Earnings Estimates when Earnings Quality is Low?

Cash flows are incrementally useful to earnings in security valuation mainly when earnings quality is low. This suggests that when earnings quality decreases, analysts will be more likely to supplement their earnings forecasts with cash flow estimates. Contrary to this prediction, we find that analysts do not disclose cash flow forecasts when the quality of earnings is low. This is because cash flow forecast accuracy depends on the accuracy of the accrual estimates and the precision of accrual forecasts decreases for firms with low quality earnings. Consequently, as earnings quality decreases, cash flow forecasts become increasingly inaccurate compared to earnings estimates. Cash flow estimates that lack reliability are not useful to investors and, consequently, unlikely to be reported by analysts. This result provides an explanation for why analysts are less likely to report cash flow estimates when earnings quality is low.     

Analysts’ and Investors’ Reactions to Consistent Earnings Signals

We investigate (1) whether the trajectory of the current‐quarter earnings expectation path (defined by the signs of the forecast revision and the earnings surprise) provides information about future firm performance, and (2) the extent to which analysts and investors react to that information. Our results indicate that analysts underreact more to earnings information revealed by consistent‐signal earnings expectation paths than to earnings information communicated by inconsistent‐signal expectation paths. We also find that the current earnings expectation path provides incremental explanatory power for future abnormal returns, even after controlling for the sign and magnitude of the earnings surprise. Overall, our evidence is consistent with underreaction stemming from analysts’ and investors’ bias in processing the information in consistent‐signal earnings expectation paths.     

Earnings seasonality,management earnings forecasts and stock returns

We examine whether management earnings forecasts (MEFs) help reduce the stock return seasonality associated with earnings seasonality around earnings announcements (EAs) in Chinese A-share markets. We find that firms in historically low earnings seasons outperform firms in high earnings seasons by 2.1% around MEFs. Firms in low earnings seasons also have higher trading volume and return volatility than their counterparts around EAs and MEFs. MEFs significantly reduce the ability of historical seasonal earnings rankings to negatively predict announcement returns, volume and volatility around EAs. The reduction effects are stronger when MEFs are voluntary or made closer to EAs. The evidence suggests that MEFs facilitate the correction of investors’ tendency to extrapolate earnings seasonality and its resulted stock mispricing.     

Valuation Implications of Investment Opportunities and Earnings Permanence

This study investigates the value-relevance of accounting earnings in the presence of investment (growth) opportunities after making two theoretical and methodological research design refinements. First, we test for the incremental effect of growth on firms earnings response coefficients after controlling for the extent of transitory earnings under the assumption that the value-relevance of earnings with respect to growth should be stronger when earnings are more permanent. Second, we perform comprehensive factor analysis using market-based and accounting-based measures to construct a composite proxy for investment opportunities. We find that firms investment opportunities and the relative permanence of current earnings affect the value-relevance of those earnings. Additionally, we find that the interaction between permanent earnings and investment opportunities produces an even stronger price response to earnings.     

Earnings Management Constraints and Classification Shifting

Prior literature has investigated three forms of earnings management: real earnings management (REM), accruals earnings management (AEM) and classification shifting. Managers make trade‐off decisions among these methods based on the costs, constraints and timing of each strategy. This study investigates whether managers use classification shifting when their ability to use other forms of earnings management is constrained. We find that when REM is constrained by poor financial condition, high levels of institutional ownership and low industry market share, managers are more likely to use classification shifting. Further, we find that when AEM is constrained by low accounting system flexibility and the provision of a cash flow forecast, managers are more likely to use classification shifting. In addition, when we limit our sample to firms that are most likely to have manipulated earnings, we continue to find support for constraints of both REM and AEM leading to higher levels of classification shifting. We also find support for the hypothesis that the timing of each earnings management strategy influences managers’ trade‐off decision. Our results indicate that managers use classification shifting as substitute form of earnings management for both AEM and REM.     

Abnormal Returns from Predicting Earnings Thresholds

This study examines the performance of a trading strategy based on the prediction of firms concurrently reporting a positive earnings change and meeting analysts’ earnings forecasts. The evidence indicates that a model predicting both earnings thresholds concurrently can yield excess returns that are incremental to predicting only one earnings threshold. Further, I find that the prediction of forecast errors is relatively more important than predicting earnings changes as the incremental benefit from predicting earnings changes concurrently with forecast errors is small relative to a model that predicts only forecast errors. The results hold while controlling for various risk factors and known anomalies.     

On the Use of Intra-Industry Information to Improve Earnings Forecasts

We investigate whether earnings forecasts are improved by earlier earnings disclosures by firms in the same industry. We find improvements for time series forecasts, but not for analysts' forecasts. Considering prior earnings announcements reduces correlations between forecast errors and security price reactions to earnings announcements, even when incorporating these announcements improves forecast accuracy. Our explanation for this anomaly, which is supported by additional analysis, is that intra-industry information facilitates predicting transitory, rather than permanent, earnings components. The question of whether information transfers improve earnings forecasts provides the context for the analysis, but the primary contribution is the documentation of intra-industry information transfers in a setting other than capital markets.     

Earnings Announcements,Differences of Opinion and Management Guidance

Berkman, Dimitrov, Jain, Koch, and Tice (2009) document a negative relationship between differences of opinion and earnings announcement returns, and this relationship is more pronounced when short‐sale constraints are likely to be high. These findings are interpreted as support for the theory in Miller (1977) that binding short sale constraints cause pessimists to be underrepresented in price formation. We conjecture that accounting information (i.e., earnings news) is likely to play a role in this returns pattern. After controlling for the level of earnings news, we find that the relationship between differences of opinion and stock returns is either eliminated or opposite from what is predicted by Miller's theory. Further, we present evidence that suggests the confounding effect of earnings news can be explained by (pessimistic) management earnings guidance. Our findings offer an alternative explanation for why low differences of opinion stocks earn greater abnormal returns around earnings announcements.     

Tests of Market Reaction and Analysts' Forecast Revisions to the Disclosure of Improved Management Earnings Expectations: A Case of Concurrent Bad News Management Earnings Forecasts

This paper tests whether a negative stock market reaction, associated with a management forecast of near term bad earnings, is lessened by a concurrent management forecast of improved longer term earnings expectations. Stock market reactions depend on the creditability of management forecasts of improved earnings expectations. In this analysis, the authors examined market reactions around the time of management forecasts of bad earnings, with and without longer-term management forecasts of improved earnings expectations. The results show that the stock market reaction is significantly less negative when management forecasts of bad earnings are followed by management forecasts of improved long run earnings expectations than when management forecasts of bad earnings are not accompanied by management forecasts of improved earnings expectations. In addition, this paper examines financial analysts' reactions to management bad earnings forecasts and management forecasts of improved earnings expectations. The findings show that analysts react less negatively to management forecasts of improved earnings expectations than to management forecasts of bad earnings. An analysis of a sub-sample of observations shows that analysts consider management forecasts of improved earnings expectations to imply improved expected future performance, thus conveying that analysts give credence to management forecasts of improved earnings expectations. However, results show that the stock market and analysts are unable to distinguish management forecasts of improved earnings expectations that come true from management forecasts of improved earning expectations that do not come true.     

The Effect of Earnings Management on the Asymmetric Timeliness of Earnings

Abstract:   Is earnings management affecting (driving) the measures of earnings conservatism? Ball et al. (2000) point out that the asymmetry in the recognition of good and bad news in earnings (faster recognition of bad news: earnings conservatism) is more pronounced in common‐law than in code‐law based accounting regimes. However, comparative studies on earnings conservatism in Europe have failed to identify significant differences between common‐law and code‐law based countries. We argue that in code‐law based countries managers have incentives to reduce earnings consistently. This enhances the association between earnings and returns in bad news periods. We find that after controlling for discretionary accruals, the differential earnings response to bad news in Germany and France decreases significantly.     

The Variability of Earnings and Non-Earnings Information and Earnings Prediction

This paper examines the performance of a 'composite' model of earnings prediction that integrates current earnings and current price as predictors of next year's earnings. The results show that current earnings (current price) play a key role in predicting future earnings when the ratio of earnings variance to price variance is low (high). The composite model is superior to univariate time-series models in out-of-sample predictive accuracy for the overall sample, and is substantially so for the group of firms with a high ratio of earnings variance to price variance.