The superiority and disciplining role of independent analysts

We show that although forecasts of independent analysts are less accurate ex post, they yield forecast errors that are more strongly associated with abnormal stock returns. This suggests that forecasts of independent analysts are superior to those of nonindependent analysts in representing ex ante market expectations. We also show that forecasts of nonindependent analysts become more accurate and less biased, and produce forecast errors more strongly associated with abnormal stock returns when independent analysts are following the same firms than when they are not. This suggests that the presence of independent analysts disciplines the behavior of nonindependent analysts.     

Audit committee financial expertise and properties of analyst earnings forecasts

An important role of financial accounting information is to aid financial statement users in forming expectations about the firm's future earnings. Prior research finds that accounting financial expertise of the audit committee is associated with higher financial reporting quality. We extend this literature by examining the association between audit committee financial expertise and analysts' ability to anticipate future earnings. We find a significant association between accounting financial expertise on the audit committee and analyst earnings forecasts that are more accurate and less dispersed. In contrast, we do not find a significant association between non-accounting financial expertise (i.e., supervisory expertise) and forecast accuracy or forecast dispersion. These findings contribute to our understanding of the benefits of accounting expertise in audit committees by demonstrating an association between accounting financial expertise and improvements in analyst earnings forecasts.     

Understanding analysts' use of stock returns and other analysts' revisions when forecasting earnings

We investigate analysts' use of stock returns and other analysts' forecast revisions in revising their own forecasts after an earnings announcement. We find that analysts respond more strongly to these signals when the signals are more informative about future earnings changes. Although analysts underreact to these signals on average, we find that analysts who are most sensitive to signal informativeness achieve superior forecast accuracy relative to their peers and have a greater influence on the market. The results suggest that the ability to extract information from the actions of others serves as one source of analyst expertise.     

How does investor relations disclosure affect analysts' forecasts?

We study the relationship between investor relations disclosure and analyst forecast properties in Australian firms, a setting dominated by small firms with limited analyst coverage and requiring continuous disclosure of price sensitive information. We find increasing disclosure in the time period investigated is associated with greater accuracy in firms disclosing fewer items. Disclosure was unrelated to forecast dispersion, possibly due to the low analyst following. In periods of uncertainty, the investor relations awards effectively discriminated quality from quantity of disclosure. These findings highlight the importance of active communication with analysts, particularly in firms providing less disclosure and during periods of uncertainty.     

The influence of disclosure policy on analyst behavior: The case of segment data

More transparent disclosure reduces the effort required to process reported information. The adoption of Statement of Financial Accounting Standards (SFAS) No. 131, Disclosures about Segments of an Enterprise and Related Information, increased the transparency of segment information reported by diversified firms. Using a long sample window (1988–2007) and a difference-in-difference design, this paper examines the association between corporate diversification and analysts' efforts—as reflected in analysts' idiosyncratic information precision and analyst consensus—across the old SFAS No. 14 and the new SFAS No. 131 segment reporting regime. Results indicate that SFAS No. 131 has improved segment reporting such that analysts need to invest relatively less effort generating idiosyncratic information when issuing forecasts for diversified firms. Given that analysts' information gathering efforts are costly, these findings are of interest to policy makers when assessing whether the intended reporting objectives of SFAS No. 131 are being met in a cost effective manner.     

Australian evidence on analysts' cash flow forecasts: issuance,accuracy and usefulness

This study examines the factors affecting the issuance, accuracy and usefulness of analysts' cash flow forecasts (CFFs) in Australia. Given the economic importance of the mining industry in Australia, we find that analysts are likely to provide CFFs for mining firms with poor financial health and high default risk. In contrast, analysts' provision of CFFs increases with the degree of financial health for non‐mining firms. The determinants of the issuance and accuracy of analysts' CFFs also differ in pre‐ and post‐IFRS adoption periods. Our results add new evidence on the effect of IFRS adoption on analysts' cash flow forecasting behaviours.     

Information misweighting and the cross-section of stock recommendations

This paper provides evidence that analysts whose earnings forecast revisions showed signs of greater exaggeration in the past make recommendation changes that lead to lower abnormal returns than their peers. Interpreting stock recommendations as a forecast of future abnormal returns, I show that this evidence is consistent with the hypothesis that analysts who typically exaggerate or overstate the weight of their private information when issuing forecasts also do so when making recommendations. The paper also shows that past earnings forecasts provide incremental information about analysts' recommending behavior beyond that contained in past recommendations.     

The disparity between long-term and short-term forecasted earnings growth

We find the disparity between long-term and short-term analyst forecasted earnings growth is a robust predictor of future returns and long-term analyst forecast errors. After adjusting for industry characteristics, stocks whose long-term earnings growth forecasts are far above or far below their implied short-term forecasts for earnings growth have negative and positive subsequent risk-adjusted returns along with downward and upward revisions in long-term forecasted earnings growth, respectively. Additional results indicate that investor inattention toward firm-level changes in long-term earnings growth is responsible for these risk-adjusted returns.     

Low-carbon city initiatives and analyst behaviour: A quasi-natural experiment

This paper investigates how environmental regulation and action affect analyst behaviour. Exploiting staggered enactment of low carbon city (LCC) initiatives in a difference-in-differences (DiD) setting, we observe that analyst forecast accuracy (dispersion) is significantly lower (greater) for client firms headquartered in cities covered by the LCC pilot programme, especially among firms with a low-quality information environment. The LCC effort affects analyst behaviour via increased firm risk and reduced earnings predictability, causing enhanced site visits and coverage. The results are stronger in cities with more rigorous enforcement and regulation intensity, for private firms with high business complexity and in heavily polluting industries. Results are robust to DiD models with entropy balancing matching, placebo tests, parallel trend tests, and a battery of fixed effects. Collectively, they reveal that environmental regulation has real impacts on analyst forecast behaviour.     

Analyst Activity and Firm Value: Evidence from the REIT Sector

This paper is the first to examine (1) properties of analyst forecasts and (2) effects of analyst following on firm value for all REITs on CRSP, Compustat and I/B/E/S. Our results suggest that REITs operate in an information environment that has changed over time. We find that for periods when the REIT industry was either in the developmental stage (pre-1992), or after other structural changes in the industry (post-2000), more analysts cover REITs and forecasts are more accurate and less biased. Further, we find that mortgage REITs are more transparent than other REIT structures and exhibit properties of analyst behavior that are different from other types of REITs. Our investigation into the effect of analyst coverage on REIT value suggests that analyst coverage increases REIT value (as measured by Tobin’s q) and that the causality does not run the opposite way.

On the Determinants of Optimism in Financial Analyst Earnings Forecasts: The Effect of the Market's Ability to Adjust for the Bias

This paper examines whether the documented bias in analyst earnings forecasts is intentional by examining whether it is related to the market's ability to adjust for this bias. For intentional bias to exist it is not enough for analysts to face incentives but rather, analysts should also be willing to respond to these incentives. As the market's ability to adjust for the bias increases, its market effects decrease while analyst reputation costs increase reducing analyst willingness to bias their forecasts. The paper utilizes a firm‐specific design that allows for both the bias component of the forecast error and the market's ability to adjust for the bias to be computed at the firm level. Results suggest that even though forecast error is positive in the latter part of the period under review reflecting overall analyst pessimism, the bias embedded in the forecasts is optimistic throughout the period. More importantly, I find that analyst forecast bias is decreasing in the market's ability to adjust for it. This result provides further evidence that analysts knowingly bias their forecasts and provides support for the existence of reporting bias, in particular. Thus, the evidence provides justification for recent regulatory efforts to increase the objectivity of analyst research reports.     

Why Do Analysts use a Zero Forecast for Other Comprehensive Income?

Accounting theory and accounting researchers stress the importance of clean surplus accounting and comprehensive income to corporate valuation. However, casual observation suggests that sell-side equity analysts routinely ignore other comprehensive income (OCI) in their forecasts and instead focus on forecasting earnings (before OCI). Using a sample of analyst reports, I first confirm that analysts normally omit forecasts of OCI or comprehensive income from their reports, consistent with analysts forecasting OCI as zero. I then predict and find that a zero forecast for OCI generally produces lower forecasting errors than alternative time-series models, such as a random walk or AR(1) model, suggesting a rational reason why analysts take this approach. Finally, I predict and find that although analysts’ point forecasts of future OCI are usually zero, their implied cost of equity estimates are consistent with analysts forecasting a positive variance for OCI.     

Initiating coverage,broker reputation and management earnings forecasts in Australia

We examine more than 5000 recommendations made by Australian brokers in the period 1996–2001. We find evidence that initiating recommendations produce greater share price responses than continuing recommendations, particularly for hold, underperform and sell recommendations. We also find evidence that initiating recommendations made by higher‐reputation brokers and those made in the absence of a management earnings forecast attract different share price responses. Finally, we find that share price responses to initiating recommendations, conditional on the market consensus recommendation, are significantly different to continuing recommendations.     

Analyst following and count-data econometrics

This paper reexamines the determinants of the number of analysts following a firm using econometric models based on count distributions. We replicate Bhushan's (1989) analyst-following study to demonstrate the effects of using count-data econometrics, in lieu of OLS, in studying phenomena where the dependent variable ranges among nonnegative integers. In contrast with the original paper, our findings indicate the number of institutional investors is inversely related with analyst following. We also provide econometric evidence to support the preferred use of the negative binomial model in estimating cross-sectional, analyst-following regressions.     

How efficient is the market for Australian firms’ earnings information?

We construct a measure of the speed with which forecasts issued by sell-side analysts accurately forecast future annual earnings. Following Marshall, we label this measure earnings information flow timeliness (EIFT). This measure avoids the aggregation problem inherent in price-based measures of information efficiency. We document large variation in EIFT across firm-years, and show that EIFT is positively associated with the extent of analyst following, consistent with increased analyst coverage improving the speed with which earnings-related information is recognised. We also find that EIFT is higher for firm-years classified as ‘bad news’ (i.e., where analysts’ forecasts at the start of the financial period exceed the reported outcome). However, when we separately consider instances where analysts appear to forecast non-GAAP (or ‘street’) earnings rather than GAAP earnings, we find that the greater timeliness of bad news is concentrated among observations where analysts forecast non-GAAP earnings, where unusual items are typically excluded. We conclude that the market for accounting information is more efficient for negative operating outcomes than for negative outcomes reflecting unusual items.     

The Relation Between Investor Uncertainty and Market Reactions to Earnings Announcements: Evidence from the Property‐Casualty Insurance Industry in the USA

Abstract:   This paper investigates the relationship between investor uncertainty, gauged by properties of analysts' forecasts, and the stock market response to earnings. We find that uncertainty is best characterized by a comprehensive measure recently proposed by Barron, Kim, Lim and Stevens (1998) , BKLS. The BKLS measure is related to uncertainty‐inducing events, as well as factors that affect the difficulty faced by analysts in forecasting earnings. We conclude that, first, pre‐disclosure uncertainty is a significant determinant of the price reaction to the earnings release, and second, BKLS is a more comprehensive measure of uncertainty than simple dispersion.     

The influence of buy-side analysts on mutual fund trading

We present evidence on the trading and performance impact of buy-side analysts. Using data provided by a large global asset manager, we relate buy-side analysts’ recommendations to fund transactions on a daily basis. We show that buy-side analysts significantly influence trading decisions: Fund managers strongly follow recent recommendation revisions, even after controlling for other trading determinants. Positive abnormal returns to buy-side analysts’ revisions are also reflected in the performance of mutual fund trades: Trades triggered by buy-side recommendations have higher returns than other trades. Overall, the impact of buy-side analysts is more pronounced than that of sell-side analysts.     

Quarterly reporting in a voluntary disclosure environment: Its benefits, drawbacks and determinants

We primarily examine three issues pertaining to quarterly reporting; its benefits, drawbacks and determinants. This study is conducted in a voluntary-disclosure environment with respect to reporting quarterly earnings. On the benefits side, we find that quarterly reporting is associated with higher analyst following, and on the drawbacks side we find it is associated with high price volatility. If left to its own discretion, we find that a firm with high growth prospects, large size and a technology orientation is likely to disclose earnings on a quarterly basis.     

The Effect of Analyst Coverage on the Informativeness of Income Smoothing

This study examines whether analyst coverage affects the informativeness of income smoothing. I find that income smoothing enhances earnings informativeness more greatly for firms with high analyst coverage than for firms with low analyst coverage. The results suggest that income smoothing more efficiently communicates private information to investors when firms are followed by more analysts, consistent with the notion that analysts play an important information intermediary role in enhancing the informativeness of income smoothing.     

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.