Do Managers Use Meeting Analyst Forecasts to Signal Private Information? Evidence from Patent Citations

This study examines whether firms manage earnings to meet analyst forecasts to signal superior future performance. Prior research finds that firms use earnings management to just meet analyst forecasts and that these firms have a positive association with future performance (Bartov et al., 2002). There are two potential explanations for the positive association – signaling and attaining benefits that allow for better future performance (i.e., the real benefits explanation). Prior studies cannot provide evidence of signaling because they do not control for the real benefits explanation. Our research design enables us to control for the real benefits explanation because we can identify potential signaling firms within the sample of firms that just meet analyst forecasts. We use a unique database from the National Bureau of Economic Research to construct a proxy for the manager's belief about future firm value due to patents. We find that firms with more patent citations are more likely to just meet the analyst forecast and manage earnings to achieve this goal. We also find firms that just meet analyst forecasts with more patent citations have significantly better performance than firms with fewer patent citations, which is consistent with signaling and not the real benefits explanation.     

Analyst reputation and management earnings forecasts

Prior studies show that analysts with high reputation are influential in the market. This paper examines whether managers consider analyst reputation in shaping their voluntary disclosure strategy. Using Institutional Investor magazine’s All-American (AA) rankings as a proxy for analyst reputation, we find that the coverage of AA analysts is positively associated with the likelihood of quarterly management earnings forecasts (MEFs). We also find that AA analysts’ forecast optimism is more positively associated with the likelihood of MEFs than non-AA analysts’ forecast optimism when the firm is covered by AA analysts. Analyses based on AA analyst coverage changes and AA status changes confirm the relation between analyst reputation and MEFs. We further find that analyst reputation influences other MEF properties, such as forecast news, bias, and revisions, and that our results are robust to alternative measures of analyst reputation. Further analyses show that market reactions at quarterly earnings announcements are more positive (negative) when firms meet/beat (miss) AA analysts’ forecasts than when firms meet/beat (miss) non-AA analysts’ forecasts. Collectively, our findings suggest that managers strategically provide voluntary forecasts by taking into account the reputation of individual analysts following their firms.     

The relation between earnings management and financial statement fraud

This paper provides new evidence on the characteristics of firms that commit financial statement fraud. We examine how previous earnings management impacts the likelihood that a firm will commit financial statement fraud and in doing so develop three new fraud predictors. Using a sample of 54 fraud and 54 non-fraud firms, we find that fraud firms are more likely to have managed earnings in prior years and that earnings management in prior years is associated with a higher likelihood that firms that meet or beat analyst forecasts or that inflate revenue are committing fraud. We further find that fraud firms are more likely to meet or beat analyst forecasts and inflate revenue than non-fraud firms are even when there is no evidence of prior earnings management. This paper contributes to the fraud detection literature and the earnings management literature, and can help practitioners and regulators develop better fraud detection models.     

Confirming Management Earnings Forecasts, Earnings Uncertainty, and Stock Returns

In this study we examine the association among confirming management forecasts, stock prices, and analyst expectations. Confirming management forecasts are voluntary disclosures by management that corroborate existing market expectations about future earnings. This study provides evidence that these voluntary disclosures affect stock prices and the dispersion of analyst expectations. Specifically, we find that the market's reaction to confirming forecasts is significantly positive, indicating that benefits accrue to firms that disclose such forecasts. In addition, although we find no significant change in the mean consensus forecasts (a proxy for earnings expectations) around the confirming forecast date, evidence indicates a significant reduction in the mean and median consensus analyst dispersion (a proxy for earnings uncertainty). Finally, we document a positive association between the reduction of dispersion of analysts' forecasts and the magnitude of the stock market response. Overall, the evidence suggests that confirming forecasts reduce uncertainty about future earnings and that investors price this reduction of uncertainty.     

Analyst revenue forecast reporting and the quality of revenues and expenses

We decompose earnings quality into revenue and expense quality and examine their associations with analyst propensity to supplement their earnings forecasts with revenue forecasts. Analysts report more revenue forecasts to I/B/E/S when expense quality is low to compensate for the low accuracy of their earnings estimates, which has a positive association with expense quality. Expense quality is unassociated with revenue forecast accuracy, thus revenue forecasts become increasingly useful for valuing firms when expense quality is low. Analysts report fewer revenue forecasts when revenue quality is low because both earnings and revenue forecast accuracy decline as revenue quality deteriorates. To control for endogeneity, we use firm‐fixed effects to control for unobserved time‐invariant heterogeneity across firms, instrumental variables regressions and regression in changes.     

Market implied future earnings and analysts’ forecasts

This study provides evidence on market implied future earnings based on the residual income valuation (RIV) framework and compares these earnings with analyst earnings forecasts for accuracy (absolute forecast error) and bias (signed forecast error). Prior research shows that current stock price reflects future earnings and that analyst forecasts are biased. Thus, how price-based imputed forecasts compare with analyst forecasts is interesting. Using different cost of capital estimates, we use the price-earnings relation and impute firms’ future annual earnings from three residual income (RI) models for up to 5 years. Relative to I/B/E/S analyst forecasts, imputed forecasts from the RI models are less or no more biased when cost of capital is low (equal to a risk-free rate or slightly higher). Analysts slightly outperform these RI models in terms of accuracy for immediate future (1 or 2) years in the forecast horizon but the opposite is true for more distant future years when cost of capital is low. A regression analysis shows that, in explaining future earnings changes, analyst forecasts relative to imputed forecasts do not impound a significant amount of earnings information embedded in current price. In additional tests, we impute future long-term earnings growth rates and find that they are more accurate and less biased than I/B/E/S analyst long-term earnings growth forecasts. Together, the results suggest that the RIV framework can be used to impute a firm’s future earnings that are high in accuracy and low in bias, especially for distant future years.     

Consistency in meeting or beating earnings expectations and management earnings forecasts

This paper provides evidence that firms that have consistently met or beaten analysts’ earnings expectations (MBE) provide more frequent “bad news” management forecasts than firms with no established string of MBE, particularly when existing analyst forecasts are optimistic. This suggests that firms with a consistent MBE record are more likely to guide analysts’ expectations downward to avoid breaking the consistency. Subsequent analyst forecast revisions following bad news management forecasts issued by these firms are dampened, implying that analysts suspect that these forecasts may be opportunistic. The relation between management forecasts and MBE consistency is stronger after Regulation FD.     

To beat or not to beat? The importance of analysts’ cash flow forecasts

We investigate the implications of firms’ benchmark-beating patterns with respect to analysts’ quarterly cash flow forecasts for firms’ current capital market valuation and their future performance. We hypothesize that nonnegative earnings surprises are more likely to be supported by real operating performance and signal higher earnings quality if they are achieved via higher than expected cash flows or lower than expected accruals. We show that firms beating analyst earnings forecasts have larger positive capital market reactions and larger earnings response coefficients if they beat analyst cash flow forecasts or report lower than expected accruals. We also demonstrate that these firms’ superior future performance may provide an economic justification for their more favorable market response. Our findings suggest that firms’ ability to beat analyst cash flow forecasts is informative regarding the quality of their earnings surprises.     

An examination of the effects of management earnings forecast form and explanations on financial analyst forecast revisions

Using a sample of 978 quarterly management earnings-per-share forecasts made during the period 1993 to 1999, we document that financial analyst revisions to management earnings forecasts are a function of management forecast form. More precise forecasts (measured three different ways) lead to greater revision of financial analyst consensus EPS forecasts for a given level of unexpected earnings as predicted by Kim and Verrecchia (1991) and Bayesian adjustment models. Also, consistent with our arguments, maximum forecasts are interpreted as bad news by analysts. Our results, while consistent with theory, are inconsistent with recent experimental studies which do not reject the null hypothesis of no effect of management earnings forecast form on the association between unexpected earnings and financial analyst forecast revisions. We also re-examine Baginski, Hassell, and Kimbrough's (2004) finding that attributions used to explain management forecasts affect the reaction to the forecast using analyst data. Consistent with their findings using stock prices, the attribution presence (especially external attributions) increases financial analyst revisions pursuant to management forecasts.     

Why do stock repurchases change over time?

Recent studies have shown the time trends of firm stock repurchase behavior. We examine these time changes for stock repurchase through the lens of real activities earnings management. Managers appear more likely to manipulate earnings through stock repurchases since the passage of the Sarbanes–Oxley Act (SOX) in 2002. Furthermore, suspect firms that just missed analyst earnings per share forecasts have higher incentives to manipulate earnings through stock repurchases. The results are not driven by changes in corporate governance associated with the passage of SOX. Overall, our results suggest earnings management can be a significant determinant of the dynamics of stock repurchases.     

Disclosure of internal control material weaknesses and optimism in analyst earnings forecasts

This paper investigates how analyst forecast optimism is associated with disclosures of internal control material weaknesses (ICMWs) and their remediation under Section 404 of the Sarbanes–Oxley Act (SOX). Drawing on agency theory, I hypothesize that analysts are likely to issue earnings forecasts that are more optimistic for firms with ICMW disclosures than for those without ICMW disclosures. Using a sample of 20,875 firm-year observations with 10-K (10-Q) reports from 2004 to 2018, I find a positive association between ICMW disclosures and analyst forecast optimism. This positive association is partially driven by investors’ inability to unravel analyst forecast bias and analysts’ intentions to curry favor with management for private information. In addition, analysts are found to issue less optimistic forecasts for firms with ICMW remediation disclosures compared with those without ICMW remediation disclosures. A series of propensity score matching and regression analyses are conducted to test the robustness of my inferences. Overall, the paper suggests that analysts have incentives to take the opportunity of firms disclosing ICMWs to bias their forecasts upward for self-interest. The findings have the potential to assist regulators in guiding analyst behavior and educating investors to unravel positive bias in analyst forecasts.     

Do corporations manage earnings to meet/exceed analyst forecasts? Evidence from pension plan assumption changes

A significantly larger number of firms increase the expected rate of return on pension plan assets (ERR) to make their reported earnings meet/exceed analyst forecasts than would be expected by chance. In the short run, the stock market reacts positively to these firms’ earnings announcements, suggesting that investors fail to recognize that earnings benchmarks are achieved through ERR manipulation. In the long run, however, firms that employ this earnings management strategy significantly underperform control firms in both stock returns and operating performance.     

Performance commitments and the properties of analyst earnings forecasts: Evidence from Chinese reverse merger firms

We investigate whether the performance commitments in Chinese reverse merger (RM) transactions affect the properties of analyst earnings forecasts. All RM firms in China are required to make performance commitments for a limited number of years after being publicly listed. As performance commitment is an important piece of public information, it can influence analysts' understanding of firms and their efforts to forecast earnings. Using manually assembled information on RM transactions, we find that, in comparison to the control firms, RM firms exhibit an increase in analyst forecast error and dispersion after the end of performance commitment. This effect is more pronounced in firms with lower levels of information transparency. We also document that the public information contents of analyst forecasts decrease and forecast revisions increase in the post-commitment period, while the private information content of analyst forecasts and the number of their firm visits remain unchanged. Overall, our findings suggest that analysts rely greatly on public information; they have important implications for academics and policymakers in understanding how performance commitments in RM transactions affect the market information environment.     

The Dynamics of Earnings Forecast Management

This paper examines whether firms manage analyst forecasts andthe associated value consequences. We find that earnings forecaststend to grow pessimistic over the forecast horizon and theseforecast changes and their timing are key determinants of whetherfirms generate positive earnings surprises: Late forecasts thatraise (lower) the consensus sharply reduce (raise) the probabilityof positive surprises. This findng is the opposite of that predictedif consensus revisions reflected new information arrival. Investorsseem to be "misled": downward consensus revisions lead to largeabnormal returns following the earnings announcement. Paradoxically,downward forecast management reduces post-announcement shareprice, as the impact of reduced forecasts dominates the gainfrom generating positive surprises.     

Do Publicly Signalled Earnings Management Incentives Affect Analyst Forecast Accuracy?

Using a panel of listed Australian firms for the years 1999–2007, this paper investigates whether analysts' forecast efficiency is improved by the occurrence of a publicly observable event, such as a CEO appointment, which signals a firm's earnings management incentives. Two supporting hypotheses are also tested: first, that CEO appointments are associated with income‐decreasing earnings management; and second, that analyst forecast errors increase with the level of earnings management present in current period financial statements. Consistent with prior literature, we find income‐decreasing earnings management in the year of CEO appointment. Earnings management, as a general phenomenon, is found to be significantly related to analyst forecast errors in the period in which the earnings management occurs. However, we present evidence that analyst forecasts for current year earnings are significantly more accurate with respect to earnings management in cases where a CEO is appointed during the current financial period.     

High-Technology Intangibles and Analysts' Forecasts

This study examines the association between firms' intangible assets and properties of the information contained in analysts' earnings forecasts. We hypothesize that analysts will supplement firms' financial information by placing greater relative emphasis on their own private (or idiosyncratic) information when deriving their earnings forecasts for firms with significant intangible assets. Our evidence is consistent with this hypothesis. We find that the consensus in analysts' forecasts, measured as the correlation in analysts' forecast errors, is negatively associated with a firm's level of intangible assets. This result is robust to controlling for analyst uncertainty about a firm's future earnings, which we also find to be higher for firms with high levels of internally generated (and expensed) intangibles. Given that analyst uncertainty increases and analyst consensus decreases with the level of a firm's intangible assets, we also expect and find that the degree to which the mean forecast aggregates private information and is more accurate than an individual analyst's forecast increases with a firm's intangible assets. Finally, additional analysis reveals that lower levels of analyst consensus are associated with high-technology manufacturing companies, and that this association is explained by the relatively high R&D expenditures made by these firms. Overall, our results are consistent with financial analysts augmenting the financial reporting systems of firms with higher levels of intangible assets (in terms of contributing to more accurate earnings expectations), particularly R&D-driven high-tech manufacturers.     

Impact of proximity to debt covenant violation on earnings management

We examine the impact of differential incentives arising from proximity to debt covenant violation on earnings management. We reason that firms with loans close to violation or in technical default of their debt covenants have a stronger incentive to engage in earnings management than firms that are far from violating their debt covenants. We find results consistent with this expectation. Firms close to violation or in technical default of their debt covenants engage in higher levels of accounting earnings management, real earnings management, and total earnings management than far-from-violation firms. In additional analysis, we find that firms with a stronger incentive to avoid covenant violation switched from using more accounting earnings management before the Sarbanes–Oxley Act to using more real earnings management and more total earnings management afterwards. We also document that the earnings management implications of debt covenant violation are observed primarily for firms with poor credit ratings and for firms that do not meet analyst forecasts.     

Stock repurchases as an earnings management device

We investigate whether firms use stock repurchases to meet or beat analysts’ earnings per share (EPS) forecasts. We identify conditions under which repurchases increase EPS and document the frequency of accretive repurchases from 1988 to 2001. We find a disproportionately large number of accretive stock repurchases among firms that would have missed analysts’ forecasts without the repurchase. The repurchase-induced component of earnings surprises appears to be discounted by the market, and this discount is larger when the repurchase seems motivated by EPS management, although using the repurchase to avoid missing analyst forecasts appears to mitigate some of the negative stock price response.     

The informativeness of analyst forecast revisions and the valuation of R&D-intensive firms

Prior studies (e.g., [McNichols and O’Brien, 1997] and [Diether et al., 2002]) find that analysts are less willing to disclose unfavorable earnings forecasts than to disclose favorable forecasts, and this tendency induces an optimistic bias in disclosed forecasts that increases with the degree of earnings uncertainty. Building on these findings, we predict that, in the context of R&D-intensive industries, there should be differential informativeness and asymmetric valuation roles for upward versus downward analyst forecast revisions. Consistent with our predictions, we find the following evidence: (i) analyst forecast revisions contain a downward bias, causing upward revisions to under-represent, whereas downward revisions to over-represent, changes in true earnings expectations, with the extent of over/under-representation greater for firms with higher R&D expenditures; (ii) upward revisions are associated with more rapid reductions in earnings uncertainties (proxied by forecast dispersions) than downward revisions, mainly for high R&D firms; and (iii) upward revisions are more effective in mitigating the return differentials between high and low R&D firms (as documented in Chan et al., 2001).     

Capitalized intangibles and financial analysts

We examine whether firms that capitalize a higher proportion of their underlying intangible assets have higher analyst following, lower dispersion of analysts’ earnings forecasts and more accurate earnings forecasts relative to firms that capitalize a lower proportion. Under Australian generally accepted accounting principles, capitalization of intangible assets has become increasingly ‘routine’ since the late 1980s. It is predicted that this experience leads Australian analysts to expect firms with relatively more certain intangible investments to signal this fact by capitalizing intangible assets. Our results are consistent with this. We find that capitalization of intangible assets is associated with higher analyst following and lower absolute earnings forecast error for firms with a stock of underlying intangible assets. Our tests suggest a weaker association between capitalization and lower earnings forecast dispersion. We conclude that there are benefits for analysts, for management to have the option to capitalize intangible assets. These findings suggest that IAS 38 Intangible Assets and AASB 138 Intangible Assets reduce the usefulness of financial statements.