The Impact of Analysts' Forecast Errors and Forecast Revisions on Stock Prices

Abstract:  We present a comprehensive analysis of the association between stock returns, quarterly earnings forecast errors, and quarter-ahead and year-ahead earnings forecast revisions. We find that forecast errors and the two forecast revisions have significant effects on stock prices, indicating each conveys information content. Findings also show that the fourth quarter differs from other quarters—the relative importance of the forecast error (quarter-ahead forecast revision) is lower (higher). We also find a marked upward shift over time in the forecast error and forecast revision coefficients, consistent with the I/B/E/S database reflecting an improved quality of both earnings forecasts and actual earnings.     

Analyst Earnings Forecast Revisions and the Pricing of Accruals

We investigate the relation between two market anomalies to provide insights into analysts role as information intermediaries. Prior research finds that accruals and analyst earnings forecast revisions predict future returns. We find that the accrual and forecast revision strategies generate hedge returns of 15.5% and 5.5% when implemented independently. Strikingly, a combined strategy that uses forecast revisions to refine the accrual strategy generates a hedge return of 28.5%. Firms with consistent accrual and forecast revision signals have less persistent accruals and earnings. We also find that accruals can be used to refine the forecast revision strategy—high accruals are associated with overoptimism in analyst forecasts. Our findings indicate that although forecast revisions reflect information about accrual and earnings persistence beyond that reflected in the level of current year accruals, investors do not fully incorporate this information into their valuation assessments.     

Investors' Use of Historical Forecast Bias to Adjust Current Expectations

We explore the extent to which investor response to earnings information differs in the presence of historical bias in earnings forecasts. Overall, the results are consistent with the notion that investors take historical forecast bias into account when interpreting information in earnings announcements and that the market's reaction to forecast errors is larger (less negative) when forecasts are historically more optimistic and suggests that the functional form commonly used in the earnings response literature does not appropriately capture the effect of real unexpected earnings information (i.e., investors' expectation errors as opposed to analysts' forecast errors) on stock returns.     

Evidence That Management Earnings Forecasts Do Not Fully Incorporate Information in Prior Forecast Errors

Abstract:  This paper investigates whether managers fully incorporate the implications of their prior earnings forecast errors into their future earnings forecasts and, if not, whether this behavior is related to the post-earnings announcement drift. I find a positive association in consecutive management forecast errors, suggesting that managers underestimate the future implications of past earnings information when forecasting earnings. I also find that managers underestimate the information in their prior forecast errors to a greater extent when they make earnings forecasts with a longer horizon. Finally, I find that, similar to managers, the market also underreacts to earnings information in management forecast errors, which leads to predictable stock returns following earnings announcements.     

Financial Analysts' Earnings Forecast Dispersion and Intraday Stock Price Variability Around Quarterly Earnings Announcements

This study investigates the relationship between the dispersion of analysts' earnings forecasts and stock price variability around quarterly earnings announcements. Consistent with theoretical predictions, the empirical analysis shows that stock price variability at the time of earnings announcements is positively related to the degree of analysts' predisclosure earnings forecast dispersion. Additionally, firms with high levels of forecast dispersion exhibit significant increases in price variability for longer periods prior to and following earnings announcements than do firms with low levels of forecast dispersion. These results suggest that there is information about the earnings announcement that becomes available to at least a subset of investors prior to the earnings release and that market participants take different amounts of time to process the information conveyed by the earnings announcement.     

Serial Correlation in Management Earnings Forecast Errors

We examine whether management earnings forecast errors exhibit serial correlation and how analysts understand the serial correlation property of management forecast errors (MFEs). MFEs should not exhibit serial correlation if managers efficiently process information in prior forecast errors and truthfully convey their earnings expectations through management forecasts. However, for long‐horizon management forecasts of annual earnings, we find significantly positive serial correlation in MFEs, and sample self‐selection does not seem to drive this phenomenon. Further analyses suggest that managers’ unintentional information processing bias contributes to this positive serial correlation. Analysts anticipate the intertemporal persistence of MFEs but underestimate the persistence level when reacting to management forecasts. Our findings have implications for market participants who rely on management forecasts to form earnings expectations, and also shed light on the efficiency of managerial decision making.     

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.     

中国上市公司自愿业绩预告动机研究

随着业绩预告制度的实施和演进,我国资本市场上逐步出现了越来越多的上市公司自愿业绩预告,这对于缓解管理层与投资者、机构投资者与中小投资者之间的信息不对称具有重要意义。那么,是什么因素激励上市公司管理层自愿披露业绩预告?通过借鉴西方的自愿信息披露理论,并结合我国转轨经济的制度背景,本文提出了我国上市公司自愿业绩预告的三类动机:资本市场交易、管理层股票收益和管理层能力信号传递,并以2001-2008年我国上市公司业绩预告数据为研究样本对此进行了检验。研究结果显示,融资需求高、管理者利益协同程度高、会计业绩好的上市公司更有动机自愿披露业绩预告,并且国有相对于非国有上市公司自愿披露动机更弱。     

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.     

Relationship Between Analyst Forecast Properties and Equity Bid‐Ask Spreads and Depths Around Quarterly Earnings Announcements

Abstract:   We study the relationships between three variables which proxy for the ex‐ante level of information asymmetry – forecast dispersion, forecast revision volatility, and the level of analyst coverage, and equity bid‐ask spread and depth changes around quarterly earnings releases. Kim and Verrecchia (1994) suggest that earnings releases increase the level of information asymmetry and lower the level of liquidity in the security market. Using both an OLS regression framework and a simultaneous equations model, we examine whether equity bid‐ask spreads increase and depths decrease as the level of information asymmetry increases. Our results indicate that spreads are higher (relative to a non‐event period) around earnings announcements when information asymmetry is more pronounced; however, depths are lower only on the day following the announcement when there is greater information asymmetry. Relative spreads have a significant positive relation with both forecast dispersion and revision volatility and a significant negative relation with analyst coverage. Relative depths have a significant negative relation with forecast dispersion and a significant positive relation with analyst coverage. Our findings indicate that the equity specialist adjusts both spreads and depths when confronting informed traders around earnings releases and that these adjustments are more pronounced when the level of information asymmetry is greater.     

International Variation in Accounting Measurement Rules and Analysts' Earnings Forecast Errors

We theorize that accounting systems affect analysts' forecast accuracy through changes in earnings variability. We argue that the matching and historical cost principles reduce earnings variability, and hence, reduce analysts' earnings forecast errors. We also argue that restricting the choice of accounting methods can result in larger forecast errors. We argue that more informative disclosure environments should reduce forecast errors. We test whether variation in these factors across countries explain variation in analysts' earnings forecast bias and accuracy. Our results indicate that these characteristics of financial accounting systems are complements, and that they affect financial analysts' earnings forecast errors.     

Interlock Concentration and Analyst Forecast Accuracy: Value Implications of Interlock

From the perspective of information commonalities among firms with director interlock relationships, this study mainly investigates the outcomes of earnings forecasts by analysts who choose to concentrate on interlocked firms (analysts following both a firm and its interlocked partner firm in their research portfolio). Using interlocked A‐share firms listed in the Chinese Shanghai and Shenzhen Stock Exchanges from 2008 to 2013 as samples, we empirically find that analysts who concentrate on interlocked firms produce more accurate earnings forecasts than analysts who do not. In additional analysis, we also find that analysts with an interlock concentration provide superior earnings forecast quality for other non‐interlocked firms in their research portfolios. Finally, through examining the market reaction to interlocked firms, we find that analysts with an interlock concentration provide new information and improve information efficiency for the capital market.     

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.     

An International Analysis of Historical and Forecast Earnings in Accounting-Based Valuation Models

Abstract:  In this paper we examine whether the valuation properties of historical accounting amounts, namely earnings and equity book value, differ from those of forecasted earnings for firms in 17 developed countries classified into six accounting regimes. We compare the performance of a historical model and a residual-income forecast model for explaining security prices. The historical model uses the book value of equities and actual historical earnings and the forecast model uses the book value of equities and analysts' forecasts of earnings in the residual income for estimating the intrinsic value of the firm. The results suggest that book values, historical earnings or forecasted earnings are value relevant in most regimes and countries examined. The forecast model offers significantly greater explanatory power for security prices than the historical model in the Anglo-Saxon and North American countries, Japan, Germany, and three Nordic countries. The explanatory power of the historical model is similar to that of the forecast model in the Latin countries, two Nordic countries, and Switzerland. We find that the forecast model performs similarly to the historical model where financial analysts' forecasts are noisy and analysts are less active. Further results indicate that the forecasted earnings are more value-relevant than the historical earnings in countries with stronger investor protection laws, less conservative GAAP, greater income conservatism, and more transparent accounting systems.     

公平信息披露与分析师预测精度——来自中国上市公司的经验证据

证券分析师是证券市场重要的信息加工者和传播者,他们的信息行为对中小投资者和市场效率有重要影响。本文基于2003~2009年分析师的年度盈利预测数据,运用面板计量模型实证检验了公平信息披露规则的实施对分析师预测精度的影响。研究结果表明:分析师预测精度在规则实施后显著下降了;而且,随着规则实施时间的推移,分析师预测精度进一步下降;另外,分析师对信息披露水平较差的上市公司的预测精度下降幅度更大。     

Lockup and Voluntary Earnings Forecast Disclosure in IPOs

We examine the relation between lockup length and voluntary earnings forecast disclosures for IPOs in Singapore. Unlike firms in the United States, companies in Singapore are allowed to provide earnings forecasts in their IPO prospectuses. We find that forecasters are more likely to accept longer lockup periods, so that the lockup expires after the first post-IPO earnings announcement. Our study also shows that because the lockup agreement removes personal incentives to issue aggressive forecasts, IPO firms tend to issue conservative forecasts. Overall, our results suggest that the lockup mechanism adds credibility to the earnings forecast given in the IPO prospectus.     

Disclosure Practices, Enforcement of Accounting Standards, and Analysts' Forecast Accuracy: An International Study

Using a sample from 22 countries, I investigate the relations between the accuracy of analysts' earnings forecasts and the level of annual report disclosure, and between forecast accuracy and the degree of enforcement of accounting standards. I document that firm‐level disclosures are positively related to forecast accuracy, suggesting that such disclosures provide useful information to analysts. I construct a comprehensive measure of enforcement and find that strong enforcement is associated with higher forecast accuracy. This finding is consistent with the hypothesis that enforcement encourages managers to follow prescribed accounting rules, which, in turn, reduces analysts' uncertainty about future earnings. I also find evidence consistent with disclosures being more important when analyst following is low and with enforcement being more important when more choice among accounting methods is allowed.     

Underreaction to Industry‐Wide Earnings and the Post‐Forecast Revision Drift

We test whether the post‐forecast revision drift is mainly attributable to investors’ underreaction to industry‐wide earnings news conveyed by analysts’ forecast revisions. We find a large drift associated with industry‐wide earnings news but no drift associated with firm‐specific earnings news. Consistent with the functional fixation hypothesis, we provide evidence that the post‐forecast revision drift is driven by investors’ underreaction to the higher persistence of industry‐wide earnings. Although prior research has focused on differential persistence of earnings components stemming from managerial reporting discretion, we provide evidence suggesting that investors do not fully understand the differential earnings persistence attributable to industry fundamentals.     

业绩预告披露与盈余管理研究

盈余管理存在的根本原因在于投资者与管理层之间的信息不对称。业绩预告作为上市公司未来经营成果、财务状况与现金流量的预测,在很大程度上会影响投资者对上市公司的评估及其投资决策。从业绩预告披露的特征方面出发,研究业绩预告披露与盈余管理之间的关系,包括业绩预告的性质、预告精确度、预告误差分别与盈余管理程度的关系,结果发现：发布业绩预告的公司,盈余管理水平更高。预告精确度以及预告期间与预测当期盈余管理水平正相关,预测误差与盈余管理水平负相关。当消息类型不同的时候,预测的强制性与否以及＂变脸＂对盈余管理水平的影响不同。结论支持了上市公司财务报告迎合业绩预告披露的说法。     

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.