Earnings Announcement Disclosures and Changes in Analysts' Information

This study examines how financial disclosures with earnings announcements affect sell‐side analysts' information about future earnings, focusing on disclosures of financial statements and management earnings forecasts. We find that disclosures of balance sheets and segment data are associated with an increase in the degree to which analysts' forecasts of upcoming quarterly earnings are based on private information. Further analyses show that balance sheet disclosures are associated with an increase in the precision of both analysts' common and private information, segment disclosures are associated with an increase in analysts' private information, and management earnings forecast disclosures are associated with an increase in analysts' common information. These results are consistent with analysts processing balance sheet and segment disclosures into new private information regarding near‐term earnings. Additional analysis of conference calls shows that balance sheet, segment, and management earnings forecast disclosures are all associated with more discussion related to these items in the questions‐and‐answers section of conference calls, consistent with analysts playing an information interpretation role with respect to these disclosures.     

Analysts’ Use of Nonfinancial Information Disclosures*

In this study I examine how analysts process nonfinancial information and how this is affected by the patterns of firms’ nonfinancial information disclosures. More specifically, I examine the association between analyst earnings forecast errors and the persistence of nonfinancial disclosures, both across information content and over time. The study focuses on firms in the wireless industry for the period 1997–2007. The results show that analysts tend to underreact to the information contained in customer acquisition cost, average revenue per user, and the number of subscribers. These are the performance measures that have significant predictive ability for future earnings of wireless firms. Distinguishing between firms on the basis of their nonfinancial disclosure patterns reveals that the above findings are driven primarily by firms with irregular disclosures. There is no evidence of analysts’ inefficiency in evaluating the content of nonfinancial metrics provided by persistently disclosing firms. This implies that the lack of systematic disclosures of performance measures restricts financial analysts’ ability to fully analyze the contributions of these metrics for future earnings.     

The Voluntary Inclusion of Forecasts in the MD&A Section of Annual Reports*

Abstract. In this study, we appeal to theories advanced by Darrough and Stoughton (1990) to enhance our understanding of why some firms may voluntarily include directional forecasts in their annual reports while others do not. The data are consistent with their predictions that a firm's disclosure policy reflects its concern for both financial market valuation and product market competition. We find that for “good news firms, the probability of forecasting is increasing in the financing requirements but decreasing in the threat of competitor entry. The converse holds for “bad news” firms. These results lend further empirical support to the observation that the familiar good news hypothesis tested in the management earnings forecast literature offers only a partial explanation for the decision to forecast. Interestingly, however, even after controlling for financial and product market considerations, an overall voluntary disclosure bias still exists in the data. The data also provide support for the OSC's concern about a voluntary disclosure bias. Only 17.5 percent of our sample forecasts represent revisions downward relative to the previous year's results. However, in contrast to the OSC's concern about a general lack of forward-looking disclosures in annual reports, 35.9 percent of our sample firms include directional forecasts in their MD&A or elsewhere in the annual report.     

Are Earnings Forecasts Informed by Proxy Statement Compensation Disclosures?

We investigate the extent to which market participants use compensation payouts released in the DEF 14A proxy statement (DEF14A) to assess future firm performance by examining sell-side analysts' earnings forecasts. Consistent with prior work, we confirm that CEO compensation unexplained by current observable economic factors is positively associated with future firm performance. We find that both the likelihood that analysts revise their forecasts following release of the DEF14A and the magnitude and direction of analysts' forecast revisions are positively associated with unexplained CEO compensation. These associations are stronger after the SEC required additional compensation-related disclosures in late 2006 but lower if the firm has weak corporate governance or more precise other information. Analysts' reactions are not complete, however. Analysts' forecast errors measured months after the DEF14A release are associated with past unexplained compensation, especially in the pre-2006 period and for analysts who do not revise at the DEF14A release. Taken together, our results suggest that compensation payouts released in the DEF14A contain useful forward-looking information that is recognized by at least some sophisticated market participants and that the increased disclosure regulations assisted market participants in incorporating this information.     

Valuation Implications of Unconditional Accounting Conservatism: Evidence from Analysts' Target Prices

We examine whether financial analysts understand the valuation implications of unconditional accounting conservatism when forecasting target prices. While accounting conservatism affects reported earnings, conservatism per se does not have an effect on the present value of future cash flows. We examine whether analysts adjust for the effect of conservatism included in their earnings forecasts when using these forecasts to estimate target prices. We find that signed target price errors (actual minus forecast) have a significant positive association with the degree of conservatism in forward earnings, suggesting that target prices are biased due to accounting conservatism. Cross‐sectional analysis suggests that more sophisticated analysts and superior long‐term forecasters adjust for conservatism to a greater extent than other analysts. In additional analyses, we explore the mechanism through which conservatism leads to bias in target prices. We first show that analysts' earnings forecasts are negatively associated with the degree of conservatism; that is, analysts include the effect of unconditional conservatism in their earnings forecasts. Based on alternative earnings‐based valuation models that analysts may use, our evidence suggests that analysts fail to appropriately adjust their valuation multiple for the effect of conservatism included in their earnings forecasts when using these forecasts to derive target prices. As a consequence, we find that, for extreme changes in conservatism, the bias in analysts' target prices due to conservatism leads to a distortion of market prices. The evidence highlights the concern that analysts may not appreciate the valuation implications of conservative accounting which could inhibit price discovery.     

Financial Statement Complexity and Meeting Analysts’ Expectations

We examine whether firms with greater financial statement complexity are more likely to meet or beat analysts’ earnings expectations. We proxy for financial statement complexity using the firm's industry and year adjusted accounting policy disclosure length. Firms with more complex financial statements are more likely to just beat expectations than just miss expectations. Firms with complex financial statements appear to use expectations management to beat expectations, but do not use earnings management. Corroborating these findings, we find analysts rely more on management guidance for more complex firms. Firms with complex financial statements are also more likely to have analysts exclude items from actual “street earnings,” but tests suggest this strategy is not specifically used by complex firms to beat expectations. The effect we document is specific to analyst forecasts and not to other alternative benchmarks.     

Information content of Canadian oil and gas companies' historic cost earnings and reserves disclosures*

Abstract. The purpose of this paper is to determine which of three alternative annual report disclosures of oil and gas reserves, namely historic capitalized costs, quantities, or discounted cash flows, contributes information content incremental to that provided by earnings per share. Information content is defined as the ability of a reserves disclosure to account for changes in common stock prices. Multiple regression analysis was used to evaluate the extent to which each of the three alternative reserves disclosures account for common stock returns after first recognizing the information provided by an earnings per share variable. The annual reports of 67 Canadian oil and gas exploration and development corporations were used to gather the data for each of the years 1983 to 1987. The results indicate that the earnings per share provides some significant evidence of information content. The capitalized costs disclosure, the quantities disclosure, and the discounted cash flows disclosure provide significant evidence of incremental information content in a pooled analysis of the five-year period; however, the results for any one disclosure method are not consistent throughout the analyses of each of the five years.     

Customer Concentration and Public Disclosure: Evidence from Management Earnings and Sales Forecasts

This study examines the association between customer base concentration and corporate public disclosure policy. When the customer base is more concentrated, large customers face lower costs of accessing the supplier firm's private information, reducing customers' overall demand for the supplier's public information, suggesting a negative association between customer concentration and the amount of public disclosure. Alternatively, large customers have greater bargaining power and may demand that the supplier firm provide more public disclosures. Consistent with customer concentration facilitating private information flow from the supplier to customers, we find that the frequencies of management earnings and sales forecasts are negatively associated with customer concentration among firms with major corporate customers. These associations are stronger when the supplier and customers are engaged in more relationship-specific investments, when customers' private information acquisition costs are lower, and when it is less costly for customers to find another supplier.     

Voluntary Disclosures When There Is an Option to Delay Disclosure

What incentives drive managers to disclose immediately when they have an option to delay disclosures? I examine this question in a two-period setting in which public news that is positively correlated with firm value arrives periodically. I show that, when the manager's likelihood of receiving information is independent of the public news, an informed manager is more likely to disclose immediately when the public news is good. This happens even as the disclosure threshold itself increases in the public news. My model provides a potential explanation for why managers have a higher propensity to provide earnings forecasts when current earnings are high. I also show that, even when disclosures are credible, the average price reaction to a voluntary disclosure is (i) decreasing in the magnitude of the public news and (ii) lower when the manager is more myopic. These results have potential implications for studies that use stock returns to measure the news contained in management disclosures.     

Expectations Management and Beatable Targets: How Do Analysts React to Explicit Earnings Guidance?*

This study investigates security analysts' reactions to public management guidance and assesses whether managers successfully guide analysts toward beatable earnings targets. We use a panel data set between 1995 and 2001 to examine the fiscal‐quarter‐specific determinants of management guidance and the timing, extent, and outcomes of analysts' reactions to this guidance. We find that management guidance is more likely when analysts' initial forecasts are optimistic, and, after controlling for the level of this optimism, when analysts' forecast dispersion is low. Analysts quickly react to management guidance and are more likely to issue final meetable or beatable earnings targets when management provides public guidance. Our evidence suggests that public management guidance plays an important role in leading analysts toward achievable earnings targets.     

EBITDA and Managers' Investment and Leverage Choices

EBITDA is a commonly used performance measure for (i) valuation, (ii) debt contracting, and (iii) executive compensation. The widespread use of EBITDA by stakeholders may induce managers to focus their attention on EBITDA. Since EBITDA excludes various expenses, managers who fixate on EBITDA may underweight the excluded expenses when determining their firms' investments in capital and leverage levels. I find that managers who fixate on EBITDA overinvest in capital and overlever their firm relative to their industry peers. These results are robust to alternative proxies for managers' focus on EBITDA and alternative specifications. I also find that firms whose managers focus on EBITDA have weaker operating performance, which is attributed to higher depreciation expense. My primary proxy for managers' focus on EBITDA is whether they choose to disclose EBITDA in annual earnings announcements. I find that the use of EBITDA in setting executive compensation, the prevalence of EBITDA estimates by analysts, and the use of EBITDA‐based covenants in firms' debt contracts are all positively associated with the propensity to disclose EBITDA in earnings announcements. I find weaker evidence of opportunistic motives explaining EBITDA disclosure. These results are consistent with managers disclosing EBITDA to portray to investors that it is a metric they seek to maximize. Overall, this study suggests that while EBITDA is a widely used metric, there is a systematic cost to using this measure—it provides managers with incentives to overinvest in capital and to acquire excessive debt.     

Analysts' Interpretation and Investors' Valuation of Tax Carryforwards*

We examine how financial analysts and equity investors incorporate information on deferred taxes from carryforwards into earnings forecasts and share prices. We focus on carryforwards because, in providing this information each period, management must use their private information about the firm's profitability prospects. Thus, accounting measurement of tax carryforwards is another way of providing a management earnings forecast. In analyzing the role of carryforwards in valuation, we distinguish between two conflicting effects. First, deferred taxes from carryforwards represent future tax savings; hence, they should be valued positively as assets. In contrast, the existence of tax carryforwards may signal a higher likelihood of future losses, which would have a negative effect on expected earnings and share prices. We find that analysts consider earnings of firms with carryforwards to be less persistent because of the increased likelihood of future losses. We also find that analysts tend to be less precise and more optimistic (biased) in forecasting earnings of firms with carryforwards. This higher optimism and lower precision are more pronounced just after firms adopt Statement of Financial Accounting Standards (SPAS) 109 and are almost entirely corrected over time. An analysis of investors' valuation indicates a strong positive relation between deferred taxes from carryforwards and share prices, suggesting that these carryforwards are valued as assets. Also, earnings and book values of equity are valued less in firms that have carryforwards than in firms without carryforwards. Finally, the valuation allowance required under SFAS 109 assists equity investors in valuing a firm's earnings and net assets. The combined findings on analysts' interpretation and investors' valuation suggest that analysts fail to fully capture the implication of carryforwards on future earnings within their forecasting horizon.     

Commitment and Cost of Equity Capital: An Examination of Timely Balance Sheet Disclosure in Earnings Announcements

In this paper, I examine the relation between disclosure commitment and cost of equity capital using accelerated earnings announcement disclosures as a measure of commitment. In settings characterized by imperfect market competition, I find that firms which consistently disclose balance sheet detail in relatively timely earnings announcements have lower costs of capital compared to other firms. This result is statistically significant and economically meaningful, and is robust to various alternative measurements for cost of capital, and alternative designs addressing endogeneity and underlying information quality. Overall, this result is important because it highlights additional dimensions of disclosure commitment (consistency and timeliness), while incorporating important features from theoretical models (information quality and market competition). In particular, my results suggest that consistency and timeliness are salient features of firms' disclosure behavior that have predictable and robust relations with capital market outcomes. This result is robust to controlling for underlying information quality; however, consistent with theory, it is conditional on low levels of market competition.     

Determinants of Managerial Earnings Guidance Prior to Regulation Fair Disclosure and Bias in Analysts' Earnings Forecasts*

Prior to Regulation Fair Disclosure (“Reg FD”), some management privately guided analyst earnings estimates, often through detailed reviews of analysts' earnings models. In this paper I use proprietary survey data from the National Investor Relations Institute to identify firms that reviewed analysts' earnings models prior to Reg FD and those that did not. Under the maintained assumption that firms conducting reviews guided analysts' earnings forecasts, I document firm characteristics associated with the decision to provide private earnings guidance. Then I document the characteristics of “guided” versus “unguided” analyst earnings forecasts. Findings demonstrate an association between several firm characteristics and guidance practices: managers are more likely to review analyst earnings models when the firm's stock is highly followed by analysts and largely held by institutions, when the firm's market‐to‐book ratio is high, and its earnings are important to valuation but hard to predict because its business is complex. A comparison of guided and unguided quarterly forecasts indicates that guided analyst estimates are more accurate, but also more frequently pessimistic. An examination of analysts' annual earnings forecasts over the fiscal year does not distinguish between guidance and no‐guidance firms; both experience a “walk‐down” in annual estimates. To distinguish between guidance and no‐guidance firms, one must examine quarterly earnings news: unguided analysts walk down their annual estimates when the majority of the quarterly earnings news is negative; guided analysts walk down their annual estimates even though the majority of the quarterly earnings news is positive.     

The Forewarning Effect of Critical Audit Matter Disclosures Involving Measurement Uncertainty*

We present experimental evidence suggesting that critical audit matter (CAM) disclosures in the auditor's report involving areas of high measurement uncertainty forewarn users of misstatement risk. Specifically, in our first study with MBA students, financial analysts, and attorneys, we find that CAMs (i) lower premisstatement assessments of confidence in the financial statement area disclosed as a CAM, and (ii) lower assessments of auditor responsibility for a subsequently revealed misstatement in a CAM-related area. In our second study with student participants proxying as mock jurors, we find that the responsibility-mitigating effect of CAM disclosure is driven by CAM disclosures involving measurement uncertainty, as opposed to CAM disclosures involving categorical determinations. Combined, our findings help reconcile mixed evidence from prior research, supporting the view that the forewarning effect of CAM disclosures involving measurement uncertainty could mitigate perceived auditor responsibility for CAM-related material misstatements.     

International Diversification,SFAS 131 and Post‐Earnings‐Announcement Drift

Using 1990 through 2013 data of U.S. firms with foreign operations, we show that (i) the serial correlation of analyst forecast errors increases in the extent of international diversification, (ii) post‐earnings‐announcement drift (PEAD) based on analyst forecast errors increases in the extent of international diversification, and (iii) the impact of international diversification on the serial correlation of analyst forecast errors and its associated drift is significantly reduced after the implementation of SFAS 131 on segment disclosures. When we replicate our tests using seasonally differenced earnings, we fail to observe similar patterns. Overall, our results suggest that investors’ underreaction to announced earnings is a likely explanation for PEAD. Our findings also indicate that disclosures required under SFAS 131 are useful to analysts in forming efficient earnings expectations, thereby helping capital market participants in the pricing of internationally diversified firms’ earnings.     

Earnings Management to Avoid Losses and Earnings Decreases: Are Analysts Fooled?*

This paper explores whether analyst forecasts impound the earnings management to avoid losses and small earnings decreases documented in Burgstahler and Dichev 1997, whether analysts are able to identify which specific firms engage in such earnings management, and the implications for significant forecast error anomalies at zero earnings and zero forecast earnings. We use data from Zacks Investment Research 1999 and find that analysts anticipate earnings management to avoid small losses and small earnings decreases. Further, analysts are much more likely to forecast zero earnings than firms are to realize zero earnings, and analysts are unable to consistently identify the specific firms that engage in earnings management to avoid small losses. This latter inability contributes to significant forecast pessimism associated with zero reported earnings and significant forecast optimism associated with zero earnings forecasts.     

A Re-Examination of Financial Analysts' Differential Earnings Forecast Accuracy*

Abstract. This research re-examines whether there are differences in the forecast accuracy of financial analysts through a comparison of their annual earnings per share forecasts. The comparison of analyst forecast accuracy is made on both an ex post (within sample) and an ex ante (out of sample) basis. Early examinations of this issue by Richards (1976), Brown and Rozeff (1980), O'Brien (1987), Coggin and Hunter (1989), O'Brien (1990), and Butler and Lang (1991) were ex post and suggest the absence of analysts who can provide relatively more accurate forecasts over multiple years. Contrary to the results of prior research and consistent with the belief in the popular press, we document that differences do exist in financial analysts' ex post forecast accuracy. We show that the previous studies failed to find differences in forecast accuracy due to inadequate (or no) control for differences in the recency of forecasts issued by the analysts. It has been well documented in the literature that forecast recency is positively related to forecast accuracy (Crichfield, Dyckman, and Lakonishok 1978; O'Brien 1988; Brown 1991). Thus, failure to control for forecast recency may reduce the power of tests, making it difficult to reject the null hypothesis of no differences in forecast accuracy even if they do exist. In our analysis, we control for the differences in recency of analysts' forecasts using two different approaches. First, we use an estimated generalized least squares estimation procedure that captures the recency-induced effects in the residuals of the model. Second, we use a matched-pair design whereby we measure the relative forecast accuracy of an analyst by comparing his/her forecast error to the forecast error of another randomly selected analyst making forecasts for the same firm in the same year on or around the same date. Using both approaches, we find that differential forecast accuracy does exist amongst analysts, especially in samples with minimum forecast horizons of five and 60 trading days. We show that these differences are not attributable to differences in the forecast issuance frequency of the financial analysts. In sum, after controlling for firm, year, forecast recency, and forecast issuance frequency of individual analysts, the analyst effect persists. To validate our findings, we examine whether the differences in the forecast accuracy of financial analysts persist in holdout periods. Analysts were assigned a “superior” (“inferior”) status for a firm-year in the estimation sample using percentile rankings on the distribution of absolute forecast errors for that firm-year. We use estimation samples of one- to four-year duration, and consider two different definitions of analyst forecast superiority. Analysts were classified as firm-specific “superior” if they maintained a “superior” status in every year of the estimation sample. Furthermore, they were classified as industry-specific “superior” if they were deemed firm-specific “superior” with respect to at least two firms and firm-specific “inferior” with respect to no firm in that industry. Using either definition, we find that analysts classified as “superior” in estimation samples generally remain superior in holdout periods. In contrast, we find that analysts identified as “inferior” in estimation samples do not remain inferior in holdout periods. Our results suggest that some analysts' earnings forecasts should be weighted higher than others when formulating composite earnings expectations. This suggestion is predicated on the assumption that capital markets distinguish between analysts who are ex ante superior, and that they utilize this information when formulating stock prices. Our study provides an ex ante framework for identifying those analysts who appear to be superior. When constructing weighted forecasts, a one-year estimation period should be used because we obtain the strongest results of persistence in this case.     

Qualitative Disclosure and Changes in Sell‐Side Financial Analysts' Information Environment

We examine a routine and timely disclosure, earnings press releases, to determine the extent to which several novel qualitative elements of such disclosures are associated with changes in sell‐side financial analysts' information environment. Using a comprehensive set of GARCH‐based (generalized autoregressive conditional heteroscedasticity) proxies, we examine how disclosure readability's components, across‐document textual similarity, and within‐document lexical diversity alter analysts' information environment. We find that readability in the form of shorter sentences, textual similarity, and lexical diversity are strongly related to decreases in analysts' uncertainty. Further, shorter sentences and lexical diversity improve both public and private information precision, whereas similarity affects solely analysts' private information precision. While the GARCH‐based proxies allow us to alleviate concerns regarding potentially spurious inferences (Sheng and Thevenot 2012), we note as a caveat that such an estimation restricts our inferences to large, stable, and heavily followed firms. These findings should be of interest to analysts who may wish to explore the latent information contained within the qualitative elements of disclosure, regulators who direct the form and content of disclosure, and academics who study the use (and possible misuse) of various forms of information and its presentation.     

Disclosure Policy and Market Liquidity: Impact of Depth Quotes and Order Sizes*

This paper investigates the relation between disclosure policy and market liquidity. Our tests examine two key aspects of market liquidity, the effective bid‐ask spread and quoted depth, and how they relate to financial analysts' ratings of firms' disclosure policies. We introduce a method of combining order sizes and depth quotes to yield more precise estimates of effective spreads on trades likely constrained by quoted depth. We find that while firms with higher rated disclosures are charged lower effective spreads, they are also quoted lower depth, consistent with the notion that better disclosures reduce information asymmetry but also cause some liquidity suppliers to exit the market. Therefore, a simple examination of spreads and depths yields ambiguous inferences on the relation between disclosure policy and market liquidity. We resolve this ambiguity by estimating depth‐adjusted effective spreads, and find that firms with higher rated disclosures have lower depth‐adjusted effective spreads across all trade sizes. Consequently, our results reveal a robust inverse relation between disclosure ratings and effective trading costs. This implies that a policy of enhanced financial disclosure is related to improved market liquidity.