What Drives Sell‐Side Analyst Compensation at High‐Status Investment Banks?

We use proprietary data from a major investment bank to investigate factors associated with analysts’ annual compensation. We find compensation to be positively related to “All‐Star” recognition, investment‐banking contributions, the size of analysts’ portfolios, and whether an analyst is identified as a top stock picker by the Wall Street Journal. We find no evidence that compensation is related to earnings forecast accuracy. But consistent with prior studies, we find analyst turnover to be related to forecast accuracy, suggesting that analyst forecasting incentives are primarily termination based. Additional analyses indicate that “All‐Star” recognition proxies for buy‐side client votes on analyst research quality used to allocate commissions across banks and analysts. Taken as a whole, our evidence is consistent with analyst compensation being designed to reward actions that increase brokerage and investment‐banking revenues. To assess the generality of our findings, we test the same relations using compensation data from a second high‐status bank and obtain similar results.     

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.     

Analyst Specialization and Conglomerate Stock Breakups

This paper examines whether firms emerging from conglomerate stock breakups are able to affect the types of financial analysts that cover their firms as well as the quality of information generated about their performance. Our sample comprises 103 focus-increasing spin-offs, equity carve-outs, and targeted stock offerings between 1990 and 1995. We find that, after these transactions, sample firms experience a significant increase in coverage by analysts that specialize in subsidiary firms' industries, and a 30–50% increase in analyst forecast accuracy for parent and subsidiary firms. The improvement in forecast accuracy is partially attributable to expanded disclosure. However, forecast improvements for specialists exceed those for non-specialists, leading us to conclude that corporate focus can facilitate improved capital market intermediation by financial analysts with industry expertise.     

Analysts' forecasts of Japanese firms' earnings: additional evidence

This article examines analysts' forecasts of Japanese firms' earnings during Japan's economic burst period in the 1990s. Using the evidence of analyst earnings forecasts in the United States as a benchmark, the article documents the following three findings. First, whereas the forecast accuracy of U.S. analysts following U.S. firms improves over time, the forecast accuracy of U.S. and Japanese analysts following Japanese firms does not. Second, whereas decreases in forecast errors of U.S. analysts following U.S. firms are best explained by decreases in forecast bias of the analysts, increases in forecast errors of U.S. and Japanese analysts following Japanese firms are best explained by increases in the frequency of losses experienced by Japanese firms. Third, Japanese analysts forecast earnings less accurately than do U.S. analysts. These findings reflect the difficulty of producing accurate earnings forecasts during economic downturns. They also suggest that Japanese analysts are more bound than their U.S. counterparts by cultural ties that impede forecast accuracy.     

The Effect of the Private Securities Litigation Reform Act on Analyst Forecast Properties: The Impact of Firm Size and Growth Opportunities

Abstract:  We provide evidence that the effect of the Private Securities Litigation Reform Act (the Act) of 1995 on analyst forecast properties is conditional on firm size and growth opportunities. We show that analyst coverage, frequency of forecast revisions, forecast errors and dispersion after the Act decreased for large firms and for firms with low growth opportunities but increased for small firms and for firms with high growth opportunities. These results are consistent with the hypothesis that the Act results in additional high quality disclosures in large firms, which face higher litigation risk and tighter scrutiny from investors but not in smaller firms. Our findings of increases in analyst coverage and revision but deterioration in accuracy and precision of analyst forecasts for firms with high growth opportunities after the Act suggest that in spite of increased corporate disclosures, the information environment for analysts deteriorated in those firms.     

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

Lang, Lins, and Miller [2002] investigate the relation between cross‐listing in the United States and information intermediation by analysts. The results suggest that cross‐listing in the United States increases analyst following and forecast accuracy and that both variables are associated with Tobin's Q. These findings are interesting and advance the cross‐listing literature in several ways. This discussion raises two issues. First, I highlight that the sources of cross‐listing effects are not obvious and are difficult to disentangle. To illustrate this point, I replicate the analysis using cross‐listed Canadian firms, for which mandated disclosures are held constant. Thus, if disclosure effects are important for documented cross‐listing effects, I expect to find no relation in the Canadian sample. The findings for forecast accuracy are consistent with this hypothesis. However, analyst following continues to be significantly higher for cross‐listed Canadian firms. These findings suggest that the sources of cross‐listing effects differ for analyst coverage and forecast accuracy. Second, I discuss the link between analyst variables, firm value, and cost of capital. As they are only tenuously related, I draw attention to some unresolved questions and areas for future research.     

Analyst Firm Coverage and Forecast Accuracy: The Effect of Regulation Fair Disclosure

In this study, we revisit the relationship between analyst firm coverage and forecast accuracy. In contrast to the proposed negative association in Clement (1999) owing to the portfolio complexity effect, we hypothesize an ‘economy‐of‐scale effect’ that is likely to dominate when analysts rely mostly on public information. In support of the latter effect, we find a positive association between firm coverage and forecast accuracy after the enactment of Regulation Fair Disclosure (Reg FD), which substantially reduces the flow of material private information to analysts. Such a result survives a battery of robustness analyses. We further show that, in the post‐Reg FD period, covering more firms increases an analyst's probability of being selected as a star analyst in the subsequent year. Overall, our findings highlight the importance of the information environment in shaping the economic link between an analyst's firm coverage and forecast accuracy.     

Analyst forecast,accounting conservatism and the related valuation implications

This study investigates whether financial analysts incorporate accounting conservatism into their earnings forecasts and whether it is more difficult for them to forecast earnings for less conservative firms, and then examines the impact of the findings on the return predictability of the value‐to‐price (V/P) ratio. After controlling for the other factors affecting forecast accuracy, such as earnings predictability and information uncertainty, I find that analysts incorporate accounting conservatism into their earnings forecasts and that forecasting earnings is more difficult for less conservative firms. Consequently, the return predictability of the V/P ratio is stronger for more conservative firms, and previously reported return predictability of the V/P ratio is an average across firms with differing levels of conservatism.     

Stock index adjustments and analysts’ forecast optimism: A quasi-natural experiment on the CSI 300 Index

As stock index adjustments comprise a basic system of capital market, their potential influence on analysts’ earnings forecasts is worthy of research. Based on a research sample of 23 adjustments to the CSI 300 Index from June 2007 to June 2018 and the backup stocks announced during the same period, this study examines the impact of additions to stock index on analysts’ forecast optimism using a staggered difference-in-differences model. The research results show that after stocks are added to the stock index, analysts’ earnings forecast optimism about these stocks increases significantly. Cross-sectional analysis indicates that this increase is more significant when the market is bullish, institutional ownership is low, the ratio of listed brokerage firms is low, star analyst coverage is low, firms show seasoned equity offering activity, the ratio of analysts from the top five brokerage firms ranked by commission income is high, and the analysts’ brokerage firms are shareholders. However, analyst-level tests find that analysts’ ability helps to reduce the impact of additions to stock index on earnings forecast optimism. Furthermore, additions to stock index significantly increase analyst coverage and forecast divergence. Economic consequences tests find additions to stock index significantly increases stock price synchronization, which is partly mediated by analysts’ earnings forecast optimism. This study enriches the literature on the impact of basic capital market systems and analyst behavior. The findings suggest that investors should rationally evaluate analysts’ earnings forecasts for stocks added to the stock index and obtain further information from various channels to improve asset allocation efficiency.     

Product market pricing power, industry concentration and analysts’ earnings forecasts

This is the first study to establish a link between product market power and analysts’ earnings forecast accuracy and bias. Relating two different dimensions of market power to earnings forecastability, we document that (a) a firm’s relative pricing power and (b) its industry concentration are strong positive determinants of analysts’ earnings forecast accuracy. We find that forecasting earnings of higher market power firms is less complex due to their ability to withstand cost shocks as well as greater informational-efficiency enjoyed by such firms. Further, forecast optimism increases with weakening product market pricing power and with lower industry concentration. The knowledge derived from this study will hopefully improve the accuracy of equity valuation, and thereby engender better buy-side (stock selections) and sell-side recommendations by analysts. Our analysis also suggests that brokerage firms compensating analysts based on forecast accuracy need to adjust for the differential in the information complexity of different industries.     

Does the classification of intangibles matter? An equivalence testing

Many studies confirm that intangibles have future economic benefits included in them. This study examined whether analysts consider intangibles to be similar in economic value, regardless of the accounting treatment assigned to them. It conducted four experiments by providing 26 analysts with future earnings potentials, and asking them to forecast stock prices for three companies over three firms’ continuous years. One firm had an internally produced brand, the second company had a bought brand, and the third firm had an internally produced brand and bought brands. These three firms were used in four forecasting environments designed for this study. Each forecasting environment constituted an experiment. Each forecasting environment differed, with capital market information specific to each firm. Provided with this information, the analysts forecast stock prices for the three firms in each of the four experiments. Comparing the forecast stock prices, the study found that the two brand classes had similar influence on analysts’ stock pricing forecasts, to infer them as equivalent in economic value, in each of the four forecasting environments.     

ESG scores and target price accuracy: Evidence from sell-side recommendations in BRICS

ESG profiling of a firm reflects its exposure to various environmental, social, and governance factors, which influence the business dynamics and impact the valuation metrics. In this paper, we evaluate the relationship between ESG scores and the target price precision of sell-side analysts. We employ four different constructs of forecast accuracy on a comprehensive sample of firms with analyst coverage in the BRICS between 2011 and 2021. The results demonstrate that the ESG score positively impacts the target price accuracy, and firms with higher ESG scores have lower forecast errors. The findings remained robust even after segregating the sample based on buy, hold, and sell recommendations. Finally, we report that within ESG, environmental and governance factors largely explain the forecast accuracy while the social aspects were insignificant. The results also suggest that the precision of sell-side analysts is persistent across periods. These findings have important implications for investors.     

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.     

Analyst reputation and management earnings forecasts

Prior studies show that analysts with high reputation are influential in the market. This paper examines whether managers consider analyst reputation in shaping their voluntary disclosure strategy. Using Institutional Investor magazine’s All-American (AA) rankings as a proxy for analyst reputation, we find that the coverage of AA analysts is positively associated with the likelihood of quarterly management earnings forecasts (MEFs). We also find that AA analysts’ forecast optimism is more positively associated with the likelihood of MEFs than non-AA analysts’ forecast optimism when the firm is covered by AA analysts. Analyses based on AA analyst coverage changes and AA status changes confirm the relation between analyst reputation and MEFs. We further find that analyst reputation influences other MEF properties, such as forecast news, bias, and revisions, and that our results are robust to alternative measures of analyst reputation. Further analyses show that market reactions at quarterly earnings announcements are more positive (negative) when firms meet/beat (miss) AA analysts’ forecasts than when firms meet/beat (miss) non-AA analysts’ forecasts. Collectively, our findings suggest that managers strategically provide voluntary forecasts by taking into account the reputation of individual analysts following their firms.     

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.     

Before an Analyst Becomes an Analyst: Does Industry Experience Matter?

Using hand‐collected biographical information on financial analysts from 1983 to 2011, we find that analysts making forecasts on firms in industries related to their preanalyst experience have better forecast accuracy, evoke stronger market reactions to earning revisions, and are more likely to be named Institutional Investor all‐stars. Plausibly exogenous losses of analysts with related industry experience have real financial market implications—changes in firms’ information asymmetry and price reactions are significantly larger than those of other analysts. Overall, industry expertise acquired from preanalyst work experience is valuable to analysts, consistent with the emphasis placed on their industry knowledge by institutional investors.     

Seeing is believing: analysts’ corporate site visits

This study examines the impact of corporate site visits on analysts’ forecast accuracy based on a sample of such visits to Chinese listed firms during 2009–2012. We find that analysts who conduct visits (“visiting analysts”) have a greater increase in forecast accuracy than other analysts. Consistent with the notion that site visits facilitate analysts’ information acquisition through observing firms’ operations, we find that the results are stronger for manufacturing firms, firms with more tangible assets, and firms with more concentrated business lines. Moreover, we find that the effect of a site visit is greater when the site visit is an analyst-only visit, when the current visit is preceded by fewer visits, and when visiting analysts are based far from the visited firms. Furthermore, we find that site visits partially mitigate nonlocal analysts’ information disadvantage. Collectively, these results indicate that site visits are an important information acquisition activity for analysts.     

The effects of analysts’ tax expense forecast accuracy on corporate tax avoidance: An international analysis

A spotlight has recently been cast on the role of analysts as monitors of corporate tax planning, but investigations beyond the US are rare. After extension to the international setting, I investigate whether the strength of investor protection impacts the relationship between analysts’ tax expense forecast accuracy and tax avoidance. Using a sample from 24 countries, I find that firms with high analysts’ tax expense forecast accuracy engage in lower levels of tax avoidance than firms with low forecast accuracy; this relationship is greater for firms in countries with weaker investor protection. These findings suggest that the extent of country-level investor protection substitutes for firm-level governance in constraining managerial incentives for tax avoidance.     

Getting Attention Through Corporate Philanthropy

This study investigates whether firm donations will attract attention for firms without analyst coverage. We find that: (1) the donations from firms without analyst coverage attract more attention from analysts, (2) donations from firms without analyst coverage improve stock liquidity and institutional holdings at least in the short run, and (3) donations from firms without analyst coverage are positively and significantly related to the future performance of firms compared with those from firms covered by analysts. This study contributes to the understanding of the influence of analysts on firms and the strategic motivations of corporate philanthropy.     

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.