Analyst rounding of EPS forecasts and stock recommendations

We examine the association between analysts' stock recommendations and their tendency to round annual EPS forecasts to nickel intervals (i.e. placing a zero or five in the penny location of the forecast). We find that prior to Regulation Fair Disclosure (Reg FD), analysts were more likely to provide rounded EPS forecasts in association with unfavorable (underperform and sell) recommendations. However, after Reg FD, we find no significant association between rounded forecasts and unfavorable stock recommendations. Further, other regulations (NASD 2711, NYSE 472, and Global Research Analyst Settlement) have no impact on analyst rounding behavior. The findings in this study suggest that analyst rounding behavior is a particular form of forecasting optimism motivated, at least in part, by management relations incentives. Further, Reg FD appears partially successful at curbing the influence of management relations incentives on analysts' research.     

Analysts' Selective Coverage and Subsequent Performance of Newly Public Firms

This study examines the ability of analysts to forecast future firm performance, based on the selective coverage of newly public firms. We hypothesize that the decision to provide coverage contains information about an analyst's underlying expectation of a firm's future prospects. We extract this expectation by obtaining residual analyst coverage from a model of initial analyst following. We document that in the three subsequent years, initial public offerings with high residual coverage have significantly better returns and operating performance than those with low residual coverage. This evidence indicates analysts have superior predictive abilities and selectively provide coverage for firms about which their true expectations are favorable.     

Regulation Fair Disclosure and the timeliness of long-horizon management forecasts

We examine the effect of Regulation Fair Disclosure (hereafter Reg FD) on the timeliness of long-horizon management forecasts of annual earnings, especially those conveying bad news. We expect that managers are less timely in issuing bad news forecasts than good news forecasts prior to Reg FD when they can disclose bad news to selected analysts and institutional investors privately. As Reg FD prohibits private disclosures of material information, managers are expected to accelerate the issuance of long-horizon bad news forecasts after Reg FD due to concerns of litigation risk from institutional investors and loss of analyst coverage, leading to a decrease in timeliness asymmetry between bad news and good news forecasts. We also expect that the effect of Reg FD is stronger among firms with lower ex-ante litigation risk or higher information asymmetry as they are more likely to withhold bad news prior to Reg FD. In addition, we expect that investors and analysts react more to bad news forecasts than to good news forecasts prior to Reg FD, and this asymmetry decreases after Reg FD. Our results are consistent with our predictions and suggest that managers provide long-horizon forecasts conveying bad news more timely after Reg FD.     

An Examination of the Differential Impact of Regulation FD on Analysts' Forecast Accuracy

Regulation fair disclosure (FD) requires companies to publicly disseminate information, effectively preventing the selective pre‐earnings announcement guidance to analysts common in the past. We investigate the effects of Regulation FD's reducing information disparity across analysts on their forecast accuracy. Proxies for private information, including brokerage size and analyst company‐specific experience, lose their explanatory power for analysts' relative accuracy after Regulation FD. Analyst forecast accuracy declines overall, but analysts that are relatively less accurate (more accurate) before Regulation FD improve (deteriorate) after implementation. Our findings are consistent with selective guidance partially explaining variation in the forecasting accuracy of analysts before Regulation FD.     

Does Regulation Fair Disclosure affect analysts’ forecast performance? The case of restructuring firms

The main purpose of this paper is to investigate how the enactment of Regulation Fair Disclosure (Reg. FD) influences analysts?? forecast characteristics for restructuring firms. The Reg. FD requires all firms disseminate material information not only to some institutional investors and certain financial analysts, but to all market participants simultaneously. We expect that the regulatory effect of Reg. FD on financial analysts?? forecast performance would be pronounced because of uncertain earnings signals and information complexity produced by restructuring activities. Particularly, we examine how the enactment of Reg. FD affects the relationship between analysts?? earnings forecast attributes and the occurrence and magnitude of restructuring charges. Our general finding is that analysts?? forecast errors and forecast dispersion have declined in the post-FD period for restructuring firms. However, such an impact cannot be persistent with an increase in the relative magnitude of restructuring charges, the proxy for restructuring complexity. This study provides additional evidence that Reg. FD has limited private information, and attempts to provide all users with the same access to information within the context of firms reporting restructuring charges.     

ADRs,Analysts, and Accuracy: Does Cross Listing in the United States Improve a Firm's Information Environment and Increase Market Value?

This paper investigates the relation between cross listing in the United States and the information environment of non‐U.S. firms. We find that firms that cross list on U.S. exchanges have greater analyst coverage and increased forecast accuracy than firms that are not cross listed. A time‐series analysis shows that a change in analyst coverage and forecast accuracy occurs around cross listing. We also document that firms that have more analyst coverage and higher forecast accuracy have higher valuations. Furthermore, the change in firm value around cross listing is correlated with changes in analyst following and forecast accuracy, suggesting that cross listing enhances firm value through its effect on the firm's information environment. Our findings support the hypothesis that cross‐listed firms have better information environments, which are associated with higher market valuations.     

Does the Scope of the Sell‐Side Analyst Industry Matter? An Examination of Bias,Accuracy, and Information Content of Analyst Reports

We examine changes in the scope of the sell‐side analyst industry and whether these changes impact information dissemination and the quality of analysts’ reports. Our findings suggest that changes in the number of analysts covering an industry impact analyst competition and have significant spillover effects on other analysts’ forecast accuracy, bias, report informativeness, and effort. These spillover industry effects are incremental to the effects of firm level changes in analyst coverage. Overall, a more significant sell‐side analyst industry presence has positive externalities that can result in better functioning capital markets.     

Sell‐Side Analyst Research and Stock Comovement

We document that a stock's price around a recommendation or forecast covaries with prices of other stocks the issuing analyst covers. The effect of shared analyst coverage on stock price comovement extends beyond analyst activity days. A stock's daily returns covary with the returns of other stocks with which it shares analyst coverage. These links between stock price comovement and shared analyst coverage are consistent with the coverage‐specific information we find in earnings forecasts; analysts who cover both stocks in a pair expect future earnings of the stocks to be more highly correlated than do analysts who cover only one stock from the pair. Collectively, our evidence indicates that analyst research produces coverage‐specific spillovers that raise price comovement among stocks that share analyst coverage. The strength of these spillovers is comparable to spillovers from broad industry and market information in analyst research.     

Changes in analyst following for less covered firms accompanying Regulation Fair Disclosure: the roles of ability and industry experience

We examine how Regulation Fair Disclosure (Reg FD) affects the decisions of analysts with various levels of ability and industry experience to add or drop less covered firms (LCFs), which are followed by only a few analysts. We use the analysts who continue to follow the same LCFs after Reg FD was implemented as a comparison group to explore the differences in the forecast properties of analysts who add LCFs and those who drop LCFs. We find that, after the implementation of Reg FD, analysts with greater ability or more industry experience are more likely to follow an LCF, and analysts with less ability are more likely to drop coverage of an LCF. In addition, we propose that analysts who add LCFs provide more accurate forecasts and are more likely to issue long-term forecasts. Moreover, compared with analysts who continue to cover the same LCFs, the analysts who drop coverage of LCFs issue more optimistic forecasts for LCFs in the pre-Reg FD period.     

Investor Reaction to Celebrity Analysts: The Case of Earnings Forecast Revisions

We examine the effects of analysts' celebrity on investor reaction to earnings forecast revisions. We measure celebrity as the quantity of media coverage analysts receive in sources included in the Dow Jones Interactive database, and find that media coverage is positively related to investor reaction to forecast revisions. The effect of celebrity on the reaction to forecast revisions remains significant after controlling for forecast performance variables examined in prior studies (ex post forecast accuracy, ex ante accuracy, award status, and other variables shown to be related to forecast accuracy). While these results are consistent with the familiarity of the analyst's name affecting the market reaction, we cannot rule out that our measure of celebrity is correlated with error in the performance measures we examine and/or correlated with other unexamined dimensions of forecast performance. A content analysis of a random subsample of the media coverage of our sample analysts suggests that our findings likely are not due to the increased availability of forecast revisions. Finally, an investigation of the excess returns around the quarterly earnings announcement date suggests that market participants react too strongly to forecast revisions issued by analysts with high levels of media coverage. Taken together, these findings suggest that an analyst's level of media coverage can affect the initial market reaction to his forecast revisions.     

SEC Regulation Fair Disclosure,information, and the cost of capital

Regulation Fair Disclosure (“Reg FD”), adopted by the U.S. Securities and Exchange Commission in October 2000 was intended to stop the practice of “selective disclosure”, in which companies give material information only to a few analysts and institutional investors prior to disclosing it publicly. Our analysis shows that the adoption of Reg FD caused a significant shift in analyst attention, resulting in a welfare loss for small firms, which now face a higher cost of capital. The loss of the “selective disclosure” channel for information flows could not be compensated for via other information transmission channels. This effect was more pronounced for firms communicating complex information and, consistent with the investor recognition hypothesis, for those losing analyst coverage. Moreover, we find no significant relationship of the different responses with litigation risks and agency costs. Our cross-sectional results suggest that Reg FD had unintended consequences and that “information” in financial markets may be more complicated than current finance theory admits.     

Informative or distracting: CSR disclosure of peer firms and analyst forecast accuracy

We investigate the relationship between the CSR disclosure of peer firms and the analyst forecast accuracy of the focal firm. We find a negative association between peer CSR disclosure and analyst forecast error of the focal firm, indicating that peer CSR disclosure is informative. This negative association is more pronounced when the information environment of the focal firm is worse, when the correlation in fundamentals between the focal firm and its peers is higher, when the business of the focal firm is less complex, when the focal firm has more expert analyst coverage, when the focal firm's financial performance is more sensitive to CSR engagement, or when the quality of peer CSR disclosure is higher. Overall, we show that peer CSR disclosure conveys value-relevant information about the focal firm. Our study enriches the literature on both analyst forecasts and peer information, and we also provide important implications for practitioners in understanding the role of CSR disclosure in capital markets.     

Does corporate governance transparency affect the accuracy of analyst forecasts?

Using country‐level proxies for corporate governance transparency, this paper investigates how differences in transparency across 21 countries affect the average forecast accuracy of analysts for the country's firms. The association between financial transparency and analyst forecast accuracy has been well documented in previous published literature; however, the association between governance transparency and analyst forecast accuracy remains unexplored. Using the two distinct country‐level factors isolated by Bushman et al. (2004 ), governance transparency and financial transparency, we investigate whether corporate governance information impacts on the accuracy of earnings forecasts over and above financial information. We document that governance transparency is positively associated with analyst forecast accuracy after controlling for financial transparency and other variables. Furthermore, our results suggest that governance‐related disclosure plays a bigger role in improving the information environment when financial disclosures are less transparent. Our empirical evidence also suggests that the significance of governance transparency on analyst forecast accuracy is higher when legal enforcement is weak.     

The Effects of Disclosure and Analyst Regulations on the Relevance of Analyst Characteristics for Explaining Analyst Forecast Accuracy

We posit and find an effect of disclosure and analyst reporting regulations implemented from 2000 through 2003 (including Regulation Fair Disclosure, the Sarbanes‐Oxley Act and the Global Settlement Act) on the importance of analyst and forecast characteristics for analyst forecast accuracy. Following the enactment of these regulations, more experienced analysts and All‐Star analysts do not maintain their superior forecast accuracy, and analysts employed by large brokerage houses perform worse than other analysts. In addition, we find a decrease in the importance of analyst effort, the number of industries and firms followed, days elapsed since the last forecast, and forecast horizon. While the importance of bold upward forecast revisions does not change, bold downward revisions lose their relevance for forecast accuracy after 2003. Finally, we find an increase in the importance of prior forecast accuracy. We find that the importance of these characteristics varies with the precision of publicly available information. Specifically, the decrease in the importance of most analyst and forecast characteristics and the increase in the importance of prior forecast accuracy are greater when the precision of publicly available information is low. Overall, our results suggest that the positive effects of experience, effort, brokerage house size and All‐Star status on forecast accuracy in the pre‐regulation period were because of the information advantages that these analysts enjoyed (rather than their ability to generate private information). In contrast, our results suggest that prior forecast accuracy is related to analysts’ ability to generate private information.     

Social comparison of cost behaviour and financial analysts

We investigate whether social comparison of a firm’s reported selling, general and administrative (SG&A) expenses affects financial analysts’ information uncertainty (and their behaviour). Based on a sample of US firms, we examine whether similarity of a firm’s SG&A to an industry-specific peer-based benchmark (or social benchmark) is associated with analyst forecast dispersion, forecast error and coverage. For external observers, the SG&A relative to sales (SG&A ratio) is a key diagnostic of a firm’s cost behaviour, but interpretational ambiguity of the SG&A signal is likely to incentivise search for information-relevant external cues to set expectations about and assess a firm’s SG&A ratio. Higher similarity to the social benchmark is expected to attenuate information asymmetry between analysts and firms regarding firms’ ability to effectively control overheads, decreasing analyst information uncertainty about cost behaviour and performance. In line with a varying weights model for social comparison, we observe a negative association between SG&A similarity and both forecast dispersion and error of one-year-ahead earnings for firms with a prior SG&A ratio exceeding the social benchmark. Our findings also show a negative relationship between SG&A similarity and analyst coverage, especially for firms with a prior SG&A ratio exceeding the social benchmark.     

Causal language intensity in performance commentary and financial analyst behaviour

We use automated techniques to measure causal reasoning on earnings‐related financial outcomes of a large sample of MD&A sections of US firms and examine the intensity of causal language in that context against extent of analyst following and against properties of analysts’ earnings forecasts. We find a positive and significant association between a firm's causal reasoning intensity and analyst following and analyst earnings forecast accuracy respectively. Correspondingly, analysts’ earnings forecast dispersion is negatively and significantly associated with causal reasoning intensity. These results suggest that causal reasoning intensity provides incremental information about the relationship between financial performance outcomes and its causes, thereby reducing financial analysts’ information processing and interpreting costs and lowering overall analyst information uncertainty. Additionally, we find that decreases in analyst following are followed by more causal reasoning on performance disclosure. We also find that firms with a considerable increase of causal disclosure especially attract new analysts who already cover many firms. Overall, our evidence of the relationship between causal reasoning intensity and properties of analyst behaviour is consistent with the proposition that causal reasoning is a generic narrative disclosure quality characteristic, able to provide incremental information to analysts and guide analysts' behaviour.     

Learn from peers? The impact of peer firms' analyst earnings forecasts on a focal firm's corporate investment efficiency

We explore whether a firm can learn from information on peers produced by analysts. Based on a sample of Chinese firms, we document that analyst earnings forecast accuracy (dispersion or optimism) of peer firms is positively (negatively) associated with the focal firm's investment efficiency. The effect is more salient when the focal firm operates in a competitive industry, when analysts are predicting positive earnings, when peers produce low-quality annual reports, or when the focal firm has high information asymmetry. Overall, our findings provide new insights on learning from peer information produced by a third party and show that analyst earnings forecasts have spillover effects in the product market.     

Value relevance of analyst earnings forecasts in emerging markets

Even though research in accounting and finance has extensively examined the role of financial analysts in developed economies, this issue has not been thoroughly examined in an emerging market setting. In this paper, I examine whether, following a market opening, analyst forecast accuracy and the market's reliance on analyst forecasts increase with time. Accuracy is expected to increase over time as analysts exert more effort and gain valuable forecasting experience. Results indicate that time is positively related to analyst forecast accuracy after controlling for a number of other firm and country characteristics. Second, I posit that time should also be related to the market's propensity to use analyst forecasts to form earnings expectations. As markets open and investors become more sophisticated, the reliance on analyst forecasts should also increase. Results are consistent with this expectation. In particular, I find that in the first sub-period earnings expectations based on random walk exhibit greater relative information content than earnings expectations based on analyst forecasts. This pattern is reversed in the third sub-period where analyst forecast errors better explain returns. Incremental information content tests produce similar results. Future research should further investigate the relation between financial analysts and other important market characteristics in emerging economies.     

Financial analysts' career concerns and the cost of private debt

Career-concerned analysts are averse to firm risk. Not only does higher firm risk require more effort to analyze the firm, thus constraining analysts' ability to earn more remuneration through covering more firms, but it also jeopardizes their research quality and career advancement. As such, career concerns incentivize analysts to pressure firms to undertake risk-management activities, thus leading to a lower cost of debt. Consistent with our hypothesis, we find a negative association between analyst career concerns and bank loan spreads. In addition, our mediation analysis suggests that this association is achieved through the channel of reducing firm risk. Additional tests suggest that the effect of analyst career concerns on loan spreads is more pronounced for firms with higher analyst coverage. Our study is the first to identify the demand for risk management as a key channel through which analysts help reduce the cost of debt.