Level of multinationality as an explanation for post-announcement drift

This study tests whether the observed patterns in stock returns after quarterly earnings announcements are related to the level of multinationality, a variable used to proxy for earnings predictability. Our findings show that the level-of-multinationality variable is negatively correlated with the observed post-announcement abnormal returns. The findings suggest that the level of multinationality as a proxy for earnings predictability underlies the predictability of stock returns after earnings announcements.     

Do Managers Always Know Better? The Relative Accuracy of Management and Analyst Forecasts

We examine the relative accuracy of management and analyst forecasts of annual EPS. We predict and find that analysts’ information advantage resides at the macroeconomic level. They provide more accurate earnings forecasts than management when a firm's fortunes move in concert with macroeconomic factors such as Gross Domestic Product and energy costs. In contrast, we predict and find that management's information advantage resides at the firm level. Their forecasts are more accurate than analysts’ when management's actions, which affect reported earnings, are difficult to anticipate by outsiders, such as when the firm's inventories are abnormally high or the firm has excess capacity or is experiencing a loss. Although analysts are commonly viewed as industry specialists, we fail to find evidence that analysts have an information advantage over managers at the industry level. The two have comparable abilities to forecast earnings for firms with revenues or earnings that are more synchronous with their industries.     

Regulation Fair Disclosure and analysts’ reliance on earnings announcements

Regulation Fair Disclosure prohibits corporations from selectively disclosing material information to groups of favored analysts and institutional investors. If information previously provided is excluded by the new regulation from analysts’ information set, it is plausible that the relative importance of the other information, such as earnings announcements, which remains could increase (Arya et al., 2005). The purpose of this study is to investigate whether analysts become more reliant on firm earnings announcements in revising their forecasts after implementation of the regulation. Our empirical results show that, after the regulation, more analysts issue forecasts immediately after earnings announcements. In addition, analysts’ earnings forecasts tend to converge more after observing earnings announcements in the post-regulation period. These results, in conjunction with the finding of higher overall level of forecast errors and dispersion, indicate that earnings announcements become more important information sources in the post regulation period. These findings suggest that analysts are more reliant on earnings announcements and there is an increase in analyst herding as a result of Regulation Fair Disclosure.     

Group-Affiliated Analysts’ Strategic Forecasts During a Year: Evidence from Korea

In examining the family-controlled business groups in Korea, prior literature shows that group-affiliated analysts’ forecasts are optimistically biased. This article investigates whether the group-affiliated analysts strategically time the level of accuracy and bias in their forecasts for the same group-affiliated firms due to the change in information asymmetry in the market. The results show that the group-affiliated analysts issue more accurate and less optimistic earnings forecasts for the affiliated firms when the level of information asymmetry is low; particularly, in April, which is right after annual earnings announcements.     

THE ASSOCIATION BETWEEN ANALYSTS’ FORECAST REVISIONS AND EARNINGS COMPONENTS: THE EVIDENCE OF FRS 3

This study examines whether the earnings components as required by FRS 3 help UK analysts to predict firms’ earnings changes by investigating the statistical association between analysts’ forecast revisions and firms’ unexpected earnings components. I find that analysts’ forecast revisions made in different time horizons are consistently associated with unexpected earnings components as required by FRS 3. UK analysts are able to incorporate current-year unexpected earnings components into their current and future earnings forecasts even before firms officially release this information. However, empirical results also show that current-year unexpected earnings components are not fully incorporated into analysts’ forecasts of future earnings. Analysts appear to wait for more information releases regarding firms’ future earnings and delay their revisions of future earnings forecasts. This is consistent with the evidence that the cumulative revisions of current earnings forecasts are generally associated with prior-year unexpected earnings components, and the association appears to be stronger as time progresses. Overall, this study provides evidence suggesting that the earnings components as required by FRS 3 help UK analysts to identify firms’ permanent and transitory earnings changes over different forecast horizons. This study also provides strong evidence supporting the informativeness of earnings components for analysts’ forecasts and the information set perspective of FRS 3 that highlights the importance of earnings components in predicting a reporting entity’s future performance.     

Are analysts’ earnings forecasts more accurate when accompanied by cash flow forecasts?

We examine whether analysts’ earnings forecasts are more accurate when they also issue cash flow forecasts. We find that (i) analysts’ earnings forecasts issued together with cash flow forecasts are more accurate than those not accompanied by cash flow forecasts, and (ii) analysts’ earnings forecasts reflect a better understanding of the implications of current earnings for future earnings when they are accompanied by cash flow forecasts. These results are consistent with analysts adopting a more structured and disciplined approach to forecasting earnings when they also issue cash flow forecasts. Finally, we find that more accurate cash flow forecasts decrease the likelihood of analysts being fired, suggesting that cash flow forecast accuracy is relevant to analysts’ career outcomes.     

Additional Evidence on Analysts’ Decision to Issue Disaggregated Earnings Forecasts: Strategic Biasing

This study examines why analysts issue disaggregated earnings forecasts to I/B/E/S. Some recent studies suggest that analysts with superior forecasting ability issue disaggregated earnings forecasts to build reputation in the marketplace and stop forecast disaggregation once their reputation has been established. Based on an analysis of I/B/E/S forecast data for U.S. firms from 1998 to 2008, we find that, in a given year, about 20%–34% of analysts disaggregate for some, but not for all the firms that they follow. This evidence of selective disaggregation by analysts suggests that reputation building alone does not fully explain the decision to disaggregate forecasts. We hypothesize that the decision to disaggregate earnings forecasts is at the firm‐level as well and is systematically related to the analysts’ bias in the issued forecasts. Our findings are that (a) analysts’ overall optimistic bias and forecast errors decrease monotonically with the level of forecast disaggregation, and (b) analysts that selectively disaggregate their forecasts for some firms or who do not persistently disaggregate a given firm's forecasts exhibit more positive bias and larger forecast errors. Our findings are consistent with the notion that the analysts who issue biased forecasts, for example, to curry favour with the management, are less likely to provide disaggregated information as part of the forecast.     

年报可读性对分析师盈余预测的影响

利用2010—2017年上市公司A股相关数据,本文研究了企业年报文本信息可读性对分析师盈余预测的影响。研究发现,企业年报文本信息可读性越低,分析师关注水平、预测质量也越低。进一步研究发现,较高的机构投资者持股水平能够显著缓解年报可读性对分析师关注的影响,但是没有发现机构投资者持股改善分析师预测质量的证据。高质量的审计以及高水平的信息披露质量评级可以改善企业的信息环境,从而有效缓解年报文本信息可读性对分析师盈余预测的影响。研究结论为企业年报文本信息可读性影响资本市场信息解读和传播效率提供了证据,有助于监管部门重视企业年报文本信息披露监管法律法规的制定和完善。     

Analyst Pessimism and Forecast Timing

In this study, we show that on average relatively pessimistic analysts tend to reveal their earnings forecasts later than other analysts. Further, we find this forecast timing effect explains a substantial proportion of the well‐known decrease in consensus analyst forecast optimism over the forecast period prior to earnings announcements, which helps explain why analysts’ longer term earnings forecasts are more optimistically biased than their shorter term forecasts. We extend the theory of analyst self‐selection regarding their coverage decisions to argue that analysts with a relatively pessimistic view–compared to other analysts–are more reluctant to issue their earnings forecasts, with the result that they tend to defer revealing their earnings forecasts until later in the forecasting period than other analysts.     

Do analysts who understand accounting conservatism exhibit better forecasting performance?

This study investigates the performance of analysts when they match the asymmetric timeliness of their earnings forecast revisions (i.e., asymmetric forecast timeliness) with the asymmetric timeliness of firms’ reported earnings (i.e., asymmetric earnings timeliness). We find that better timeliness‐matching analysts produce more accurate earnings forecasts and elicit stronger market reactions to their forecast revisions. Further, better timeliness‐matching analysts issue less biased earnings forecasts, more profitable stock recommendations and have more favorable career outcomes. Overall, our results indicate that analysts’ ability to incorporate conditional conservatism into their earnings forecasts is an important reflection of analyst expertise and professional success.     

Are analysts' cash flow forecasts useful?

This study provides evidence that the cost of equity capital decreases with the number of analysts who issue both cash flow and earnings forecasts (cash analysts). The evidence also shows that cash analysts reduce information asymmetry and predict long‐term earnings more accurately than analysts who issue only earnings forecasts. Taken together, these findings suggest that cash analysts provide market participants with high‐quality information and, as a result, firms benefit from cash analyst coverage in the form of a reduced cost of equity capital.     

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.     

A discussion of “Do managers use earnings guidance to influence street earnings exclusions?”

It is well known that both managers and analysts frequently define earnings by excluding various amounts from GAAP earnings. Christensen et al. (Rev Account Stud, 2011) make a prediction of causality whereby managers actively influence how analysts define earnings. They argue that the mechanism through which managers accomplish this is guidance of analysts’ earnings forecasts within a fiscal period. Using a large sample of firms actively followed by analysts, the authors examine whether the existence of earnings guidance is associated with higher levels of total exclusions in analysts’ definition of earnings. The study provides suggestive evidence that managers actively influence analysts’ definition of earnings that they forecast. However, the indirect nature of the research design calls for additional work to specifically link directed guidance of GAAP earnings exclusions to amounts actually excluded by analysts.     

Comparing the Value Relevance of Two Operating Income Measures

Prior research has shown that pro-forma (recurring operating) earnings reported by managers and analysts are more value relevant than GAAP net income. Since GAAP net income contains many non-operating items that reduce its value relevance compared to operating earnings, comparing the value relevance of GAAP net income with operating earnings unduly favors operating earnings. We show that operating earnings reported by managers and analysts are more value relevant than a measure of operating earnings derived from firms' financial statements, as reported by Standard and Poor's. Our evidence is important because it indicates that operating earnings reported by managers and analysts contain value relevant information beyond that provided by operating earnings obtained by sophisticated users from firms' financial statements.     

Analyst independence and earnings management

We examine whether analyst independence contributes to analysts’ monitoring role in deterring accruals earnings management. We first report a negative association between earnings management and the ratio of independent analysts to brokerage analysts covering a firm. Next, through the lens of the promotion of independent sell-side research institutions by the 2003 Global Research Analyst Settlement, we document a significant decrease in earnings management on firms affected by the Global Settlement's mandate for time-limited support to back independent research institutions. Additionally, we find that, as the aforementioned support ended, the extent of monitoring effectiveness reverted to a level indistinguishable from that before the Global Settlement. Finally, using closures and mergers of independent research institutions as a quasi-natural experiment, we provide corroborating evidence consistent with analyst independence leading to more effective monitoring.     

Analyst reputation and the issuance of disaggregated earnings forecasts to I/B/E/S

Although sell-side analysts privately forecast revenues and expenses when producing earnings forecasts, not all analysts choose to provide I/B/E/S with earnings forecasts disaggregated into revenues and expenses. We investigate the role of reputation in explaining this decision. We find that analysts without established reputations are more likely than reputable analysts to issue disaggregated earnings forecasts to I/B/E/S, consistent with I/B/E/S exposure benefits accruing to analysts seeking to establish a reputation. Among less reputable analysts, those with high ability are more likely to disaggregate, consistent with this group reaping greater benefits from the exposure I/B/E/S provides. Additional tests support our primary hypotheses. Among less reputable analysts, those who disaggregate are more (less) likely to be promoted (demoted or terminated). The stock market responds similarly, with more weight assigned to earnings forecast revisions provided by analysts who disaggregate their earnings forecasts.     

Do Japanese Analysts Overreact or Underreact to Earnings Announcements?

Several recent studies have used U.S. analysts' forecasts to test for underreaction or overreaction to information in earnings announcements. These tests have provided mixed results. Evidence in Mendenhall (1991) is that analysts underreact. By contrast. results in De Bondt and Thaler (1990) show overreaction by U.S. financial analysts to earnings announcements. The current study contributes to this topic by examining over/underreaction by Japanese financial analysts. Test results show that Japanese analysts do not overreact to earnings announcements, market to book ratios and sales growth. Instead. there is strong evidence that Japanese analysts underreact to earnings announcements and that their underreaction is more pronounced for firms with mostly permanent earnings. Our results also show that Japanese analysts display larger forecast biases for earnings reported under U.S. GAAP as opposed to Japanese GAAP. Finally, we find that US. analysts discount information in earnings announcements to a larger degree (relying to a greater extent on information in past prices instead) when compared to their Japanese counterparts. Further, in contrast to their Japanese counterparts, these analysts display no optimistic bias. The results above suggest that the impact of each country's unique culture and capital norms will have to be taken into account by policy makers in evaluating the feasibility of harmonization of accounting standards.     

Earnings Forecasts and the Information Contained in Spinoff Announcements

This study examines spinoff announcements in conjunction with financial analysts’ forecasts of earnings. The analysis shows that spinoff announcement abnormal returns are significantly related to the firm's information environment as proxieci by financial analysts’ earnings prediction errors. The findings also indicate that analysts significantly increase their short-term earnings forecasts in response to spinoffs, but do not significantly revise their long-term earnings forecasts. However, the earnings revisions are not significantly different across prediction error groups, which confirms that spinoff-related abnormal returns cannot be attributed solely to expected performance gains.     

The joint information role of analysts’ cash flow and earnings forecasts

We study whether the relative magnitudes of analysts’ cash flow and earnings forecasts convey information about the persistence and value relevance of reported earnings. We find that reported earnings are likely to be more (less) persistent and value relevant when analysts forecast relatively moderate (extreme) levels of operating cash flows, relative to earnings. We also find that the market’s response to a given earnings surprise is the strongest for moderate levels of cash flow forecasts relative to earnings. The joint information role of analysts’ cash flow and earnings forecasts persists even after controlling for the absolute accruals in the model.     

Sources of earnings variability and their effect on earnings forecasts

Previous research shows that analysts’ forecasts of earnings do not fully incorporate information contained in reported earnings variability. This study investigates whether the inefficient forecast is because of a failure to incorporate observable information on two components of earnings variability: variability in operating performance and income smoothing. Our results show that analysts’ forecasts fully incorporate information contained in earnings variability for firms with high income smoothing and for firms with low operating variability. A smaller serial correlation of forecast errors is observed for firms with low operating variability, which suggests that analysts recognize the permanence in earnings for such firms.