The Implications of Dispersion in Analysts' Earnings Forecasts for Future ROE and Future Returns

Dispersion in analysts' forecasts is empirically evaluated by associating dispersion with a firm's future accounting rate of return-on-equity (ROE) and future returns. Forecast dispersion is significantly and negatively associated with future ROE, consistent with the notion that firm disclosures and analysts' information acquisition efforts increase as firm prospects improve. Forecast dispersion is negatively associated with future returns. This appears due to the implications of dispersion for future ROE, and suggests that the market does not immediately assimilate the information contained in forecast dispersion. Dispersion also conveys information about firm-specific risk not captured by beta and firm size.     

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.     

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.     

An Analysis of Brokers' and Analysts' Unpublished Forecasts of UK Stock Returns

This paper describes an empirical study of over 4000 specific share return forecasts made by 35 UK stockbrokers and by the internal analysts of a large UK investment institution. A comparison of forecast and realised returns reveals a small but potentially useful degree of forecasting ability. A large part of the information content of the forecasts, however, appears to be discounted in the market place within the first month. Nevertheless, an analysis of some 3000 transactions motivated by, and executed at the time of, the forecasts shows that the apparent predictive ability of the recommendations could be translated into superior performance by the fund's investment managers. Differences in forecasting ability between brokers do not appear to persist over time, but predictive accuracy can be improved by pooling simultaneous forecasts from different sources.     

Economic Value Added,Future Accounting Earnings,and Financial Analysts' Earnings Per Share Forecasts

Empirical research to date on the relative effectiveness of Economic Value Added (EVA) and earnings per share (EPS) as measures of firm performance for stock valuation has been mixed. In contrast to prior research, which primarily focuses on the correspondence of these measures with shareholder value and changes therein, we examine their relative effectiveness in predicting future earnings and their role in enhancing the accuracy of analysts' forecasts. Our results indicate that EVA contains information that is incremental to EPS in predicting future earnings. In addition, we find that despite this potential for EVA to add incremental value to analysts' forecasts of future earnings, analysts do not use the information in reported EVA appropriately, but appear rather to overweigh it.     

Effect of Analysts' Optimism on Estimates of the Expected Rate of Return Implied by Earnings Forecasts

Recent literature has used analysts' earnings forecasts, which are known to be optimistic, to estimate implied expected rates of return, yielding upwardly biased estimates. We estimate that the bias, computed as the difference between the estimates of the implied expected rate of return based on analysts' earnings forecasts and estimates based on current earnings realizations, is 2.84%. The importance of this bias is illustrated by the fact that several extant studies estimate an equity premium in the vicinity of 3%, which would be eliminated by the removal of the bias. We illustrate the point that cross‐sample differences in the bias may lead to the erroneous conclusion that cost of capital differs across these samples by showing that analysts' optimism, and hence, bias in the implied estimates of the expected rate of return, differs with firm size and with analysts' recommendation. As an important aside, we show that the bias in a value‐weighted estimate of the implied equity premium is 1.60% and that the unbiased value‐weighted estimate of this premium is 4.43%.     

The Behavior of Option Implied Standard Deviations Around Merger and Acquisition Announcements

This paper examines the behavior of option implied standard deviations around merger and acquisition announcements. The implied standard deviations of target firms increase significantly three days prior to the announcement. The bidding firm implied standard deviations are not affected. The analysis is extended to the equity market to determine which market reacts first to the merger or acquisition announcement. Target firm equity abnormal returns and residual variances increase significantly one and two days, respectively, prior to the announcement.     

分析师留学经历与盈利预测质量

基于2005-2015年期间的分析师预测数据,本文研究发现,相对于非留学分析师,具有海外留学经历的分析师的预测准确性更低,通过分组检验发现,上述结果主要存在于分析师的从业初期和分析师与企业高管之间不具有社会关系时。进一步研究发现,分析师留学越早,时间越长,其预测准确性相对越低。另外,当企业公开信息质量较高时,海外留学分析师与非留学分析师在预测准确性上的差异消失。由此可见,在我国关系型社会中,海外留学归国分析师在认知和获取私有信息方面存在相对劣势,其并没有提供更高质量的盈余预测。本文的研究发现丰富了有关分析师预测质量的研究文献,同时也为当前规范和提高企业信息披露质量的制度改革提供了资本市场的经验证据。     

Management of Earnings and Analysts' Forecasts to Achieve Zero and Small Positive Earnings Surprises

Abstract:  This paper corroborates the finding of prior studies that managers avoid reporting earnings lower than analyst forecasts (i.e., negative earnings surprises) and provides new evidence of actions contributing to this phenomenon. Specifically, we provide empirical evidence of both (1) upward management of reported earnings and (2) downward 'management' of analysts' forecasts to achieve zero and small positive earnings surprises. Further analysis of the components of earnings management suggests that both the operating cash flow and discretionary accruals components of earnings are managed.     

财务分析师盈利预测的投资价值:来自深沪A股市场的证据

本文研究了中国股票市场上财务分析师的盈利预测信息对投资者是否有价值。我们发现,可以利用公开的盈利预测制定可获利的套头交易策略。套头交易的回报率不仅在统计意义上显著大于零,而且在经济意义上也是显著的。这些结果不受不同的检验方法影响,也无法为我们所考虑到的风险因素所解释。本文的发现说明了中国的股票市场尚未达到Fama(1970)意义上的半强式有效,投资者在投资决策时可以利用分析师的盈利预测以提高其投资的回报。此外,本文的结果也有助于回答中国的财务分析师是否具有专业胜任能力这一颇有争议的问题。     

Improving the Precision of Analysts' Earnings Forecasts by Adjusting for Predictable Bias

This research demonstrates that publicly-available information can be used to develop estimates of analysts' optimistic bias in earnings forecasts. These bias estimates can be used to produce more accurate forecasts, resulting in significant reductions of both cross-sectional mean forecast error and error variance. When bias estimates are based on past observations of forecast error alone, however, reductions in mean forecast error are smaller, and forecast precision is unimproved. Further tests provide evidence of a significant association between returns and the bias predictable from contemporaneously-available information, suggesting that predictable bias is only partially discounted by market participants. This study has significant implications for researchers and investors. The pricing of predictable bias in analysts' forecasts may add error toinferences which are based on the association between returns and analyst forecast errors, and knowledge of the market's partial discounting of predictable bias may help investors to make more efficient resource allocations.     

Equity Premia as Low as Three Percent? Evidence from Analysts' Earnings Forecasts for Domestic and International Stock Markets

The returns earned by U.S. equities since 1926 exceed estimates derived from theory, from other periods and markets, and from surveys of institutional investors. Rather than examine historic experience, we estimate the equity premium from the discount rate that equates market valuations with prevailing expectations of future flows. The accounting flows we project are isomorphic to projected dividends but use more available information and narrow the range of reasonable growth rates. For each year between 1985 and 1998, we find that the equity premium is around three percent (or less) in the United States and five other markets.     

股票回购、信息透明度与分析师预测研究

本文以2005—2016年发生社会公众股股票回购的上市公司为对象,研究股票回购对证券分析师预测的影响。结果显示:分析师充分关注了上市公司的股票回购行为,且股票回购数量越多、回购比例越大,分析师的关注度就越大,其乐观预测偏差也越大。进一步研究发现,信息透明度越高的公司中,分析师乐观预测偏差受到股票回购的负面影响越小。本文的结论为研究股票回购对分析师预测行为及其结果提供了经验证据,有利于促进资本市场投资者理性看待上市公司股票回购行为。     

Refining the Degree of Earnings Surprise: A Comparison of Statistical and Analysts' Forecasts

This paper compares the relative predictive ability of several statistical models with analysts' forecasts. It is one of the first attempts to forecast quarterly earnings using an autoregressive conditional heteroskedasticity (ARCH) model. ARCH and autoregressive integrated moving average models are found to be superior statistical forecasting alternatives. The most accurate forecasts overall are provided by analysts. Analysts have both a contemporaneous and timing advantage over statistical models. When the sample is screened on those firms that have the largest structural change in the earnings process, the forecast accuracy of the best statistical models is similar to analysts' predictions.     

Analyst Forecasts and the Cross Section of European Stock Returns

We examine revisions to earnings forecasts by equity analysts and their role in predicting stock returns. We provide evidence that European stocks with net upward revised forecasts earn higher future returns than otherwise similar stocks. This effect is not concentrated in small stocks, stocks with low analyst coverage, or stocks with low book‐to‐market ratios. We find differences in the return continuation patterns of stocks with upward versus downward revisions, namely, bad news travels quickly, but good news travels slowly. This result is consistent with investors' attaching greater significance to poor earnings forecasts, but adopting a wait‐and‐see approach to good news.     

The Quality of Analysts' Earnings Forecasts During the Asian Crisis: Evidence from Singapore

We bring together three disparate strands of literature to develop a comprehensive empirical framework to examine the efficiency of security analysts' earnings forecasts in Singapore. We focus specifically on how the increased uncertainty and the negative market sentiment during the period of the Asian crisis affected the quality of earnings forecasts. While we find no evidence of inefficiencies in the pre-crisis period, our results suggest that after the onset of the crisis, analysts (1) issued forecasts that were systematically upward biased; (2) did not fully incorporate the (negative) earnings-related news; and (3) predicted earnings changes which proved too extreme.     

Dispersion in Analyst Forecasts and the Profitability of Earnings Momentum Strategies

This paper shows that the dispersion in analysts' consensus forecasts contains incremental information to predict future stock returns. Consistent with prior research, stock prices in the German market underreact to news about future earnings and drift in the direction suggested by analysts' forecasts revisions. Even higher abnormal returns can be achieved by applying such an earnings momentum strategy to stocks with a low dispersion in analyst forecasts. These results support one of the recent behavioural models in which investors underweight new evidence and conservatively update their beliefs in the right direction, but by too little in magnitude with respect to more objective information.     

The Effect of Issuing Biased Earnings Forecasts on Analysts' Access to Management and Survival

This study offers evidence on the earnings forecast bias analysts use to please firm management and the associated benefits they obtain from issuing such biased forecasts in the years prior to Regulation Fair Disclosure. Analysts who issue initial optimistic earnings forecasts followed by pessimistic earnings forecasts before the earnings announcement produce more accurate earnings forecasts and are less likely to be fired by their employers. The effect of such biased earnings forecasts on forecast accuracy and firing is stronger for analysts who follow firms with heavy insider selling and hard‐to‐predict earnings. The above results hold regardless of whether a brokerage firm has investment banking business or not. These results are consistent with the hypothesis that analysts use biased earnings forecasts to curry favor with firm management in order to obtain better access to management's private information.     

Japanese Corporate Groupings (Keiretsu) and the Characteristics of Analysts' Forecasts

This study examines differences in the characteristics of analysts' forecasts of earnings for keiretsu and non-keiretsu firms in Japan. Japanese industrial organization is characterized by enterprise groupings, keiretsu, composed of firms in different industries, but interrelated through cross-holdings of ownership. The strong interrelations of the Japanese keiretsu have been shown to increase the monitoring of managerial performance. An alternative view of keiretsu stewardship suggests the exclusionary environment within a keiretsu creates an information monopoly, resulting in greater information asymmetry between inside and outside constituents. These two views provide opposing predictions on how keiretsu groupings potentially affect the characteristics of earnings forecasts made by analysts: increased monitoring will improve the forecast characteristics of earnings, while the opposite is true under an information monopoly.Our results suggest that forecast accuracy (dispersion) is higher (lower) for keiretsu firms than non-keiretsu firms, supporting a monitoring role by keiretsu. The results also show that keiretsu firms' forecast characteristics are related to the strength of the keiretsu relationship, providing further evidence that it is indeed the keiretsu relationship that increases the monitoring of management, which ultimately improves the accuracy and dispersion of analysts' forecast.