Anti-selective disclosure regulation and analyst forecast accuracy and usefulness

We investigate regulations intended to stop managers from privately disclosing corporate information to analysts in a setting with enhanced potential to isolate regulatory effects: the European Union (EU) Market Abuse Directive (MAD), a common regulation implemented by member states with varying sanctions and enforcement resources. Following the implementation of MAD in a country, analyst forecasts become more accurate, with relatively little of the effect attributable to increased voluntary public disclosure by covered firms. The effect of MAD on analyst accuracy is stronger in countries with more stringent enforcement and sanction systems. Although the improvement in accuracy is associated with the implementation of MAD alone, stock prices do not respond more strongly to analyst forecast releases until after market-trading enforcement improves under subsequent EU legislation (MiFID).     

The brain gain of CFOs in China: The case of analyst forecasts

We study the impact of CFOs with foreign experience on analysts' forecast accuracy in emerging markets. Using a unique data set from China, we find that analysts' forecast accuracy increases when firms hire CFOs with foreign experience, confirming the brain gain effect of CFOs. Our results are robust after addressing potential endogeneity by introducing the propensity score matched (PSM) procedure and Heckman two-stage method. Channel analyses show that CFOs with foreign experience are related to decreased earnings management and a greater probability of hiring high-quality auditors, indicating that the improvement in financial reporting quality and information environment brought by returnee CFOs mainly drive our results. Further cross-section tests reveal that compared to firms with more external pressure, the positive effect of returnee CFOs on analysts' forecast accuracy is more pronounced among firms with fewer analyst coverage and belonging to less competitive industries. Returnee CFOs with foreign work experience exert a more significant impact on analysts' forecast accuracy than those with foreign study experience. Overall, we provide the first evidence on the brain gain of CFOs in terms of analyst forecasts.     

Air pollution and analyst information production

Recent studies investigate the impact of air pollution on labor productivity. We extend this literature by showing that air pollution negatively affects equity analyst information production. Analysts exposed to air pollution are less likely to issue timely forecasts or improve their forecast accuracy. Investigating the underlying mechanism, we find that analysts exposed to air pollution are less likely to provide bold (especially, negatively bold) forecasts. We also find evidence that market pricing is less sensitive to forecast revisions issued by analysts exposed to air pollution. Our results are robust to controlling for firm/analyst and time fixed effects, as well as additional specifications employing difference-in-differences designs and placebo tests.     

The job rating game: Revolving doors and analyst incentives

Investment banks frequently hire analysts from rating agencies. While many argue that this “revolving door” creates captured analysts, it can also create incentives to improve accuracy. To study this issue, I construct an original data set, linking analysts to their career paths and the securitized finance ratings they issue. First, I show that accurate analysts are more frequently hired by underwriting investment banks. Second, I exploit two distinct sources of variation in the likelihood of being hired by a bank. Both indicate that, as this likelihood rises, analyst accuracy improves. The findings suggest policymakers should consider incentive effects alongside capture concerns.     

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.     

Information content of equity analyst reports

We catalog the complete contents of Institutional Investor All-American analyst reports and examine the market reaction to their release. Including the justifications supporting an analyst's opinion reduces, and in some models eliminates, the significance of earnings forecasts and recommendation revisions. Analysts both provide new information and interpret previously released information. The information in a report is most important for downgrades; target prices and the analyst's justifications are the only significant elements for reiterations. No correlation exists between valuation methodology and either analyst accuracy or the market's reaction to a report. Our adjusted R²s are much larger than those of studies using only summary measures.     

The effect of restatements on analyst behavior

This paper examines how changes in the credibility of financial reporting affect analyst behavior. Using a sample of restatement firms experiencing a substantial change in credibility over 1997–2006, we document that restatements have a long‐lived effect on analyst behavior and that analysts differentiate between restatements caused by irregularities and those caused by errors. We find that while irregularity restatement firms exhibit a reduction in analyst coverage and forecast accuracy and an increase in forecast dispersion in the post‐restatement period, other restatement firms exhibit only an increase in forecast error. Finally, we find evidence to suggest that remedial actions reduce the effect of irregularity restatements on analyst behavior. Overall, these results are consistent with the notion that restatements affect analyst behavior in forming judgements regarding subsequent earnings announcements.     

IAS 39 reclassification choice and analyst earnings forecast properties

In October 2008, the International Accounting Standards Board amended IAS 39 to allow banks to retroactively reclassify financial assets that previously were measured at fair value to amortized cost. By reclassifying financial assets, a bank can potentially avoid recognizing the unrealized fair value losses and thereby increase its income and regulatory capital during a market downturn. We examine the implications of the reclassification decision by banks for the properties of financial analyst earnings forecasts during 2008–2009, when economic conditions were highly volatile. We find that the reclassification choice during the financial crisis reduced analyst forecast accuracy and increased forecast dispersion. We also find that the observed decline in analyst forecasting ability is limited to the year of adoption when the economic environment was highly volatile.     

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.     

The incremental impact of analyst initiation of coverage

I compare the return surrounding a sell-side analyst's initiation of coverage to the return surrounding a recommendation by an analyst who already covers the stock. The market responds more positively to analysts' initiations than to other recommendations. The incremental price impact of an initiation is 1.02% greater than the reaction to a recommendation by an analyst who already covers the stock. I examine whether the hypothesis that analyst coverage increases liquidity explains this incremental return. I find that liquidity improves after initiations, but that one must extend the liquidity hypothesis in order to fully explain the incremental price impact. Liquidity gains subsequent to analyst initiation depend on the analyst's recommendation. The more positive the initial recommendation, the greater the subsequent liquidity improvement. I also find that the initiation abnormal return correlates with the subsequent improvements in liquidity. Corporations should encourage analyst coverage to capture this liquidity benefit.     

Assessing the accuracy of financial analyst security return predictions

The accuracy of financial analyst security return prediction is assessed via two distinct measurement methodologies (1) correlation analysis and (2) forecast error metric analysis. Analyst performance achievement is evaluated relative to a variety of statistical models, a naive prediction model and a theoretically derived prediction model. The results of the correlation and error metric analysis provided contrasting indications of financial analyst performance.     

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.     

Product market competition and analyst forecasting activity: International evidence

In this study, we investigate how product market competition affects the extent of analyst following and the properties of analyst forecasts. Using a broad sample of firms from 37 countries over the 1990–2008 period, we find that firms that operate in more concentrated industries and with stronger pricing power are associated with greater analyst following, higher forecast accuracy, and lower forecast dispersion. Moreover, the effect of product market power on analyst following and forecast properties is more pronounced in countries with less effective competition laws and higher entry costs. These findings suggest that high industry concentration and a dominant market position enhance the earnings predictability of firms and lower their information uncertainty, and that country-level institutions that promote competition effectively constrain the power in product markets.     

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.     

XBRL’s impact on analyst forecast behavior: An empirical study

This paper investigates the benefits of mandatory adoption of the eXtensible Business Reporting Language (XBRL) in the U.S. Using a sample of Phase I and Phase II filers in year 2009 and 2010, we examine whether there exists a positive association between the number of analysts following a firm as well as analyst forecast accuracy and the XBRL mandate by the Securities and Exchange Commission (SEC). Our empirical results demonstrate a significant positive association between mandatory XBRL adoption and both analyst following and forecast accuracy. In addition, our findings show that such an association is stronger for Phase I filers than for Phase II filers in 2010. The magnitude of the association between XBRL mandate and analyst following is also larger for Phase I filers in year two than in year one of adoption. Our findings not only support the SEC’s requirement of detailed tagging of footnotes but also show that the benefits of adopting XBRL are realized regardless of errors found and concerns raised at the early stage of adoption.     

Herding in analyst earnings forecasts: evidence from the United Kingdom

We present an empirical analysis of herding behavior in analyst forecasts of earnings-per-share. Herding is defined as 'excessive agreement' among analyst predictions, i.e., a surprising degree of consensus relative to the predictability of corporate earnings. The data are for U.K. companies between 1986 and 1997. We examine the effects of forecast horizon and analyst coverage on forecast accuracy and dispersion. The evidence supports overoptimism, overreaction, and herding in analyst forecasts.
G1, G14     

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.     

Institutional investor information network,analyst forecasting and stock price crash risk

In this paper, we construct the information network of fund investors based on the theory of social relationship networks and examine its impact of fund information sharing with analysts on stock price crash risk. Our results show that private information sharing among institutional investors reduces crash risk. Further results show that fund information sharing can alleviate analyst optimism bias and improve analyst forecast accuracy, which further reduces stock price crash risk. Moreover, these identified effects are more pronounced in a bull market than a bear market. Our study contributes to the research on private information transmission in fund information networks, and provides a new perspective for recognizing the relationships among institutional investor behavior, analyst forecasting, and stock price crash risk.     

Corporate culture and analyst catering

This study examines the relation between financial institutions’ corporate culture and the quality of analysts’ research services. Using data collected from the Financial Industry Regulatory Authority, I measure the weakness of financial institutions’ corporate culture based on violations observed in securities activities unrelated to equity research. I find evidence demonstrating an association between weak corporate culture and analysts’ providing research products catered to institutional clients at the expense of individual investors. Specifically, FINRA violations are associated with both (i) less accurate forecasts and less informative reports, and (ii) higher institutional commission revenues and more broker-hosted conferences for select institutional clients.     

Economic policy uncertainty and analyst behaviours: Evidence from the United Kingdom

This paper documents that both domestic and cross-country economic policy uncertainty have significant impacts on the behaviours of domestic analysts in the United Kingdom. Specifically, domestic economic policy uncertainty has significant negative impacts on analyst earnings forecast accuracy, dispersion, and both analyst recommendation upgrades and downgrades, whereas it has no significant impact on analyst coverage in the United Kingdom. An industry analysis shows that the effects of policy uncertainties on analyst behaviours vary across industries. Moreover, European and global economic policy uncertainty have similar cross-country impacts as U.K. policy uncertainty on analyst behaviours in the United Kingdom, whereas U.S. policy uncertainty exhibits different impacts. This study presents novel and comprehensive evidence of the impacts of policy uncertainty on an important information intermediary that has significant influences on capital market efficiency, providing practical implications for investors, analysts, corporate managers, and policy makers.