Ethnic Minority Analysts’ Participation in Public Earnings Conference Calls

We investigate ethnic minority and nonminority sell-side analysts’ participation in public earnings conference calls. We find that minority analysts are underrepresented in conference call Q&A sessions, and minority analysts who do participate on the calls experience lower levels of prioritization than do nonminority analysts. Minority analysts’ lower participation rates are partially but not fully mediated by characteristics such as experience, work environment, and stock rating favorability. Additionally, firm and conference call fixed effects mediate approximately half the magnitude of lower minority participation rates. Extroverted minority analysts participate at higher rates, but the negative association between minority status and conference call participation is exacerbated when calls are more time constrained, when executive teams are less diverse, and when analysts are from less prestigious brokerage houses. Overall, we document the underrepresentation of minority analysts on earnings conference calls and provide evidence suggesting both analysts’ and managers’ choices influence minority analysts’ participation rates.     

Fair Value‐related Information in Analysts’ Decision Processes: Evidence from the Financial Crisis

We use a sample of conference calls and analyst research reports from international banks to examine how financial analysts request and communicate fair value‐related information in their valuation process. We find that analysts devote considerable attention to fair value‐related topics. Most of the conference call questions and references in research reports pertain to fair value reclassifications and fair value changes of liabilities resulting from banks’ own credit risk. The accounting impact of these one‐time effects during the financial crisis and a lack of corresponding firm disclosures help to explain the prevalence of these two topics. The content of the questions and references suggests that analysts have different motives for their interest in fair value‐related information. While some analysts adjust reported earnings for unrecognised fair value changes of reclassified assets, most of the observed analysts exclude banks’ own credit risk effects from reported earnings. Thus, the use of fair value‐related information varies substantially across analysts and across instruments.     

Analyst characteristics, timing of forecast revisions, and analyst forecasting ability

We first examine whether analysts with certain characteristics that prior research has identified are related to superior forecasting ability systematically time their forecast revisions later in the fiscal quarter. We then examine whether this superior ability persists after controlling for the timing advantage by using relative forecast error, a measure that largely eliminates the timing advantage of recent forecasts. Using a sample of quarterly earnings forecast revisions over the 20-year period from 1990 to 2009, we find that analysts with more firm-specific and general experience and more accurate prior-period forecasts, analysts employed by larger brokerage firms, and analysts who follow fewer industries and companies tend to revise forecasts later in the quarter. We also find that analyst characteristics that are positively correlated with revision timing are negatively related to relative forecast errors. These results are consistent with analyst characteristics being useful proxies for analyst forecasting ability and analysts with greater ability revising forecasts later in the quarter.     

Manager-analyst conversations in earnings conference calls

Prior research finds that intraday stock prices move considerably during the discussion period of earnings conference calls. In this study, we explore what features of the manager-analyst dialogue during the discussion drive these price movements. We textually analyze the tone of managers and analysts and find that intraday prices react significantly to analyst tone, but not to management tone, for the full duration of the discussion. This effect strengthens when analyst tone is relatively negative. We then present intraday visual evidence that analysts are more neutral than managers over the call and that the tones of both parties drift downward as the call progresses. Overall, our findings illustrate how manager-analyst information exchanges evolve on earnings calls and indicate that analysts are the participants on earnings calls whose comments move stock prices during the discussion.     

Experience, information asymmetry, and rational forecast bias

This study examines whether it is ever rational for analysts to post biased estimates and how information asymmetry and analyst experience factor into the decision. Using a construct where analysts wish to minimize their forecasting error, we model forecasted earnings when analysts combine private information with consensus estimates to determine the optimal forecast bias, i.e., the deviation from the consensus. We show that the analyst??s rational bias increases with information asymmetry, but is concavely related with experience. Novice analysts post estimates similar to the consensus but as they become more experienced and develop private information channels, their estimates become biased and deviated from the consensus. Highly seasoned analysts, who have superior analytical skills and valuable relationships, need not post biased 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.     

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.     

Does Regulation FD work? Evidence from analysts' reliance on public disclosure

We examine how Regulation FD changed analysts' reliance on firms' public disclosure. Regulation FD is associated with a stronger analyst response to earnings announcements, management forecasts and conference calls—that is, analysts respond to these events more quickly, more frequently and with larger forecast revisions after FD. Further, following public disclosure, the decline in analyst forecast dispersion and forecast error accelerates after FD. We find no such changes either for foreign ADR firms or around several confounding events. Overall, Regulation FD levels the playing field between the analysts and individual investors, thereby promoting “fair game” property of the market.     

高铁能提升分析师盈余预测的准确度吗?——来自上市公司的证据

本文搜集了2006-2016年中国201个地级市高铁开通的情况,并匹配了A股1,244家上市公司的面板数据,利用双重差分(DID)模型,研究了高铁开通对证券分析师盈余预测的影响。研究结果显示:高铁通车之后,分析师盈余预测的精准度显著提升,分歧度和乐观度显著下降。进一步考察高铁发挥作用的内在机制,发现高铁开通显著增加了对沿线公司进行实地调研的分析师数量及人均调研次数。高铁开通对分析师盈余预测的影响存在异质性,影响主要体现在信息处理成本较低的企业、公司治理水平较好的企业以及分析师面临买方压力较小的企业中。动态地来看,高铁开通对分析师盈余预测的影响主要体现在通车两年以后。此外,在利用工具变量法、控制飞机出行以减少内生性问题之后,上述结论仍稳健。这说明高铁的开通改善了资本市场的信息环境,使得分析师能够更好地扮演信息中介的角色。文章较早研究了高铁开通对分析师盈余预测的影响,揭示了高铁在金融市场的信息传导效应。     

Do local analysts know more? A cross-country study of the performance of local analysts and foreign analysts

This paper examines whether analysts resident in a country make more precise earnings forecasts for firms in that country than non-resident analysts. Using a sample of 32 countries, we find an economically and statistically significant local analyst advantage even after controlling for firm and analyst characteristics. The local advantage is high in countries where earnings are smoothed more, less information is disclosed by firms, and firm idiosyncratic information explains a smaller fraction of stock returns. It is negatively related to whether a firm has foreign assets and to market participation by foreign investors and by institutions, and positively related to holdings by insiders. The extent to which U.S. investors underweight a country's stocks is positively related to that country's local analyst advantage.     

Analysts’ earnings forecasts: coexistence and dynamics of overconfidence and strategic incentives

This paper formulates a two-stage model to capture the decision process of financial analysts when issuing earnings forecasts. Our model extends the model of Chen and Jiang [(2005). Analysts’ weighting of private and public information. Review of Financial Studies, 19 (1), 319–355], by allowing for a distortion of forecasts independent of whether an analyst has private information. Using quarterly earnings forecasts, we provide empirical evidence on the coexistence of overconfidence and strategic incentives. Financial analysts overweight their private information and at the same time strategically inflate their forecast.     

Are analysts' cash flow forecasts useful?

This study provides evidence that the cost of equity capital decreases with the number of analysts who issue both cash flow and earnings forecasts (cash analysts). The evidence also shows that cash analysts reduce information asymmetry and predict long‐term earnings more accurately than analysts who issue only earnings forecasts. Taken together, these findings suggest that cash analysts provide market participants with high‐quality information and, as a result, firms benefit from cash analyst coverage in the form of a reduced cost of equity capital.     

High-Technology Intangibles and Analysts' Forecasts

This study examines the association between firms' intangible assets and properties of the information contained in analysts' earnings forecasts. We hypothesize that analysts will supplement firms' financial information by placing greater relative emphasis on their own private (or idiosyncratic) information when deriving their earnings forecasts for firms with significant intangible assets. Our evidence is consistent with this hypothesis. We find that the consensus in analysts' forecasts, measured as the correlation in analysts' forecast errors, is negatively associated with a firm's level of intangible assets. This result is robust to controlling for analyst uncertainty about a firm's future earnings, which we also find to be higher for firms with high levels of internally generated (and expensed) intangibles. Given that analyst uncertainty increases and analyst consensus decreases with the level of a firm's intangible assets, we also expect and find that the degree to which the mean forecast aggregates private information and is more accurate than an individual analyst's forecast increases with a firm's intangible assets. Finally, additional analysis reveals that lower levels of analyst consensus are associated with high-technology manufacturing companies, and that this association is explained by the relatively high R&D expenditures made by these firms. Overall, our results are consistent with financial analysts augmenting the financial reporting systems of firms with higher levels of intangible assets (in terms of contributing to more accurate earnings expectations), particularly R&D-driven high-tech manufacturers.     

Regulation Fair Disclosure and analysts’ reliance on earnings announcements

Regulation Fair Disclosure prohibits corporations from selectively disclosing material information to groups of favored analysts and institutional investors. If information previously provided is excluded by the new regulation from analysts’ information set, it is plausible that the relative importance of the other information, such as earnings announcements, which remains could increase (Arya et al., 2005). The purpose of this study is to investigate whether analysts become more reliant on firm earnings announcements in revising their forecasts after implementation of the regulation. Our empirical results show that, after the regulation, more analysts issue forecasts immediately after earnings announcements. In addition, analysts’ earnings forecasts tend to converge more after observing earnings announcements in the post-regulation period. These results, in conjunction with the finding of higher overall level of forecast errors and dispersion, indicate that earnings announcements become more important information sources in the post regulation period. These findings suggest that analysts are more reliant on earnings announcements and there is an increase in analyst herding as a result of Regulation Fair Disclosure.     

The Power of Voice: Managerial Affective States and Future Firm Performance

We measure managerial affective states during earnings conference calls by analyzing conference call audio files using vocal emotion analysis software. We hypothesize and find that, when managers are scrutinized by analysts during conference calls, positive and negative affects displayed by managers are informative about the firm's financial future. Analysts do not incorporate this information when forecasting near‐term earnings. When making stock recommendation changes, however, analysts incorporate positive but not negative affect. This study presents new evidence that managerial vocal cues contain useful information about a firm's fundamentals, incremental to both quantitative earnings information and qualitative “soft” information conveyed by linguistic content.     

Performance commitments and the properties of analyst earnings forecasts: Evidence from Chinese reverse merger firms

We investigate whether the performance commitments in Chinese reverse merger (RM) transactions affect the properties of analyst earnings forecasts. All RM firms in China are required to make performance commitments for a limited number of years after being publicly listed. As performance commitment is an important piece of public information, it can influence analysts' understanding of firms and their efforts to forecast earnings. Using manually assembled information on RM transactions, we find that, in comparison to the control firms, RM firms exhibit an increase in analyst forecast error and dispersion after the end of performance commitment. This effect is more pronounced in firms with lower levels of information transparency. We also document that the public information contents of analyst forecasts decrease and forecast revisions increase in the post-commitment period, while the private information content of analyst forecasts and the number of their firm visits remain unchanged. Overall, our findings suggest that analysts rely greatly on public information; they have important implications for academics and policymakers in understanding how performance commitments in RM transactions affect the market information environment.     

Analyst Earnings Forecasts for Publicly Traded Insurance Companies

Several trends in the insurance and financial services industry, including demutualizationconsolidation, and deregulation, have attracted increasing attention from investors and financial analysts. This paper investigates the accuracy of the earnings forecasts of financial analysts for insurance companies. Our empirical results indicate that analyst forecasts outperform random walk time-series forecasts. Furthermore, we find that both disagreement over earnings forecasts among analysts and the relative forecasting error in the mean forecasts is smaller for life insurers than for property-casualty insurers, whereas the relative errors for forecasts for multiple-line insurers are in between the two. Forecasting error is a negative function of firm size and the number of analysts who are following a company, and is a positive function of the disagreement among analysts.Analyst forecasts have a timing advantage over the random walk model. Our results also suggest that the fair value reporting requirement (SFAS 115), which has been in effect since 1994, has enhanced the accuracy of analyst forecasts. The SFAS 115 has improved the superiority of analyst forecasts over the random walk forecasts for life insurers, but not for property-casualty insurers, and there is a weak improvement for multiple-line insurers. JEL Classification: G15