Short selling and the independence of business-related analysts: Evidence from an emerging market

This paper investigates whether short-sale deregulation improves analysts' independence in an emerging market where conventional mechanisms mitigating conflicts of interest are either ineffective or absent. Short selling reduces the effectiveness of analysts' favourable opinions in creating or sustaining overvalued stock prices, thus decreasing the incentives of institutional clients of brokerages to exert pressure on related analysts to initiate coverage and issue biased opinions. Using a difference-in-difference approach, we find strong evidence that stocks that are eligible for short sales experience a greater reduction in coverage by related analysts than stocks that are ineligible for short sales. When covered firms become eligible for short sales, the quality of forecasts and recommendations issued by related analysts improves considerably. Further analyses show that shortable firms with a significant reduction in related analysts' coverage are more likely to underperform and to experience stock price crashes in the future. Altogether, our results are consistent with short selling effectively restoring related analysts' independence in emerging markets.     

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.     

美国特许金融分析师认证体系分析

美国“特许金融分析师”(Chartered Financial Analyst，简称CFA)是一种金融投资从业专业资格认证。自从1962年1月，美国“投资管理与研究协会”(AIMR)，通过授予CFA称号来确认从业人员具有高级专业资格。美国投资管理研究协会(AIMR)的“特许金融分析师”认证体系值得我们借鉴。培养和认证中国高级金融分析师，将提高我国金融从业人员的整体素质，增强我国金融业在国际金融市场的竞争力。     

Is Working Capital Information Useful for Financial Analysts? Evidence from China

Financial analysts are important information intermediaries in the capital market. This study investigates whether information about working capital management is useful for financial analysts of Chinese firms. With a sample of listed companies from 2004 to 2014, we find that the efficiency of working capital management is positively associated with the number of analyst following and analyst forecast accuracy, and negatively associated with analyst forecast dispersion. Specifically, when the cash conversion cycle becomes longer, number of analyst following and the accuracy of their mean forecasts decrease, while the forecast dispersion increases. The findings of this study indicate a potential mechanism through which information about working capital management is incorporated in stock price in emerging markets such as China.     

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.     

When does analyst reputation matter? Evidence from analysts’ reliance on management guidance

We investigate the joint effects of analyst reputation, uncertainty and guidance news valence on analysts’ reliance on management guidance. We find that, compared to less reputable analysts, reputable analysts rely less on guidance when they issue earnings forecasts. This analyst reputation effect is stronger when earnings and information uncertainty are higher or when the guidance contains good news. Further analysis suggests that both reputable and less reputable analysts sacrifice their forecast accuracy when they rely less on guidance; however, reputable analysts are compensated to a greater extent by the increased informativeness of their forecasts. Finally, we find that analysts’ future career advancement is enhanced when their reliance is low.     

董事会报告可读性、制度环境与分析师预测——来自我国上市公司的经验证据

依据2007-2016年中国上市公司数据,考量上市公司董事会报告可读性、制度环境对证券分析师盈利预测表现的影响。结果发现：董事会报告可读性越好,分析师预测越准确,分析师预测的分歧度也越小;考虑宏观制度环境的影响,上市公司所处地区的制度环境越好,分析师盈利预测的准确度越高,分歧度越小,受到董事会报告可读性的影响越少。鉴此,应完善公司非财务信息披露和外部制度环境,从而提高分析师预测准确性,促进资源有效配置。     

Isolating the Information Content of Equity Analysts' Recommendation Changes,Post Reg FD

We investigate the information content of equity analysts' recommendation changes subsequent to the passage of Regulation Fair Disclosure. We find that analyst upgrades (downgrades) are associated with positive (negative) abnormal returns. Overall, stock prices tend to react significantly more strongly to recommendation changes accompanied by news events than to those that are not. Even so, returns around recommendation changes not accompanied by news are significantly different from zero. This result holds after controlling for firm‐specific variables and the incidence of multiple simultaneous recommendation changes. We conclude that analyst recommendation changes, in and of themselves, are informative.     

Improving the Precision of Analysts' Earnings Forecasts by Adjusting for Predictable Bias

This research demonstrates that publicly-available information can be used to develop estimates of analysts' optimistic bias in earnings forecasts. These bias estimates can be used to produce more accurate forecasts, resulting in significant reductions of both cross-sectional mean forecast error and error variance. When bias estimates are based on past observations of forecast error alone, however, reductions in mean forecast error are smaller, and forecast precision is unimproved. Further tests provide evidence of a significant association between returns and the bias predictable from contemporaneously-available information, suggesting that predictable bias is only partially discounted by market participants. This study has significant implications for researchers and investors. The pricing of predictable bias in analysts' forecasts may add error toinferences which are based on the association between returns and analyst forecast errors, and knowledge of the market's partial discounting of predictable bias may help investors to make more efficient resource allocations.     

The Effect of Multinationality on Security Analyst Underreaction

Previous research presented evidence of bias and positive serial correlation in forecast errors suggesting that analysts do not properly recognize the time–series properties of earnings when setting expectations of future earnings. A reason for the security analyst underreaction is the level of multinationality of the firm's activities. This study shows that analysts underreact to prior information more as the level of multinationality of the firm examined increases.     

Inside the “Black Box” of Sell‐Side Financial Analysts

Our objective is to penetrate the “black box” of sell‐side financial analysts by providing new insights into the inputs analysts use and the incentives they face. We survey 365 analysts and conduct 18 follow‐up interviews covering a wide range of topics, including the inputs to analysts’ earnings forecasts and stock recommendations, the value of their industry knowledge, the determinants of their compensation, the career benefits of Institutional Investor All‐Star status, and the factors they consider indicative of high‐quality earnings. One important finding is that private communication with management is a more useful input to analysts’ earnings forecasts and stock recommendations than their own primary research, recent earnings performance, and recent 10‐K and 10‐Q reports. Another notable finding is that issuing earnings forecasts and stock recommendations that are well below the consensus often leads to an increase in analysts’ credibility with their investing clients. We conduct cross‐sectional analyses that highlight the impact of analyst and brokerage characteristics on analysts’ inputs and incentives. Our findings are relevant to investors, managers, analysts, and academic researchers.     

An Analysis of Accounting Frauds and the Timing of Analyst Coverage Decisions and Recommendation Revisions: Evidence from the US

This paper provides a comprehensive exploration of the types of accounting fraud committed by firms over the period 1995–2009. Using detailed data from US SEC Accounting and Auditing Enforcement Releases (AAER), we examine the likelihood and timing of analyst coverage decisions and recommendation revisions related to fraud firms versus firms without accounting fraud. We find that analysts have a higher probability of taking the more severe action of dropping coverage rather than only revising down recommendations for firms with any type of accounting fraud and also for specific egregious types of accounting fraud. Through the use of competing hazards models, we also find that accounting frauds and their egregiousness are positively (negatively) associated with the timeliness of the analysts’ action to drop coverage (revise only). Overall, we find that analysts’ actions may be useful in determining the occurrence of accounting fraud prior to the public announcement of the fraud.     

Analysts’ Momentum Recommendations

We document that the likelihood of analyst recommendations following past stock returns decreased abruptly in 2003, coinciding with the Global Settlement and other regulatory changes designed to restrain analysts’ conflicts of interest. We also document that the likelihood of recommendations following past stock returns is abnormally high for recommendations issued after negative stock returns (but not for those issued after positive stock returns), among inexperienced and inaccurate analysts, among large brokerage houses, and for companies with high share turnover. Moreover, the recommendations that are more likely to follow past stock returns are accompanied by earnings forecast revisions that are larger in magnitude and less accurate ex post. Overall, our findings suggest that analysts with conflicts of interest and limited ability are more likely to base their recommendations on past stock returns. Finally, we document that the recommendations that are more likely to follow past stock returns (especially those that were issued before 2003 and those that are issued after negative stock returns) contribute to existing price momentum by generating incrementally stronger short‐term and long‐term stock returns.     

Analyst Report Readability and Stock Returns

This study investigates the market's response to analyst report readability. We posit that readable reports decrease uncertainty of earnings expectations and by extension increase stock prices. Our results show that the equity market reacts more positively to readable reports and that this positive reaction is attributable to a reduction in uncertainty of future performance. Moreover, we find that the effect of readability on stock prices is significantly positive only for firms with greater R&D spending, higher bid‐ask spreads, a greater proportion of uninformed investors, and more experienced analysts, which suggests that readability matters only when information asymmetry in the equity market is high.     

Pierpont and the Capital Market

For almost forty years Trevor Sykes was one of the most recognizable business journalists in Australia. Sykes created his Pierpont character in February 1972 while writing for Australia's leading financial paper, the Australian Financial Review . Pierpont was a take on J. Pierpont Morgan, founder of the J. P. Morgan banking house. Sykes used his Pierpont column to research and reflect on the curious world of Australian business. Articles were mostly in narrative form, comprising an in-depth critique of one or more companies and written with more than a touch of humour. Over the years Pierpont garnered a large following, and it is therefore quite possible his musings influenced investors' beliefs about company fundamentals. We assess this possibility by examining the share price movements of companies around the time they found themselves featured in a Pierpont column. We extend previous work in this area by examining the market reaction to a popular columnist's writings published regularly over a lengthy period, and by implementing an extensive double-coding procedure that allows us to more finely and reliably partition trading recommendations based on the content of each column. In brief, we find evidence that stocks with positive coverage by Pierpont enjoyed abnormal returns averaging 6.4 per cent over thirty days around the publication date, while stocks with negative coverage suffered abnormal losses of 5.5 per cent. Trading volume was also affected.     

Back to Basics: Forecasting the Revenues of Internet Firms

This paper examines the roles played by past revenues, web usage data, and analysts in forecasting the future revenues of internet firms during the years 1998 to 2000. For this time period our analysis shows that estimates of web traffic growth have significant incremental value in the prediction of revenues above time-series forecasts. Furthermore, analysts almost always underestimate the revenues of internet firms. Historical revenue growth has incremental predictive power over analysts' forecasts for portal and content/community firms, but not for our e-tailer sample. Moreover, the stocks of the portal and content/community firms with high historical revenue growth earn higher abnormal returns during our sample period than do those with low historical growth. Estimates of web usage growth generally do not have incremental value over analysts' forecasts for predicting the revenues of either set of firms. However, perfect foreknowledge of actual web usage growth would provide incremental predictive power. Collectively, our findings point to the potential value for forecasting purposes of both improving upon the web usage estimates and obtaining more timely reports of actual web traffic.     

Dispersion in Analyst Forecasts and the Profitability of Earnings Momentum Strategies

This paper shows that the dispersion in analysts' consensus forecasts contains incremental information to predict future stock returns. Consistent with prior research, stock prices in the German market underreact to news about future earnings and drift in the direction suggested by analysts' forecasts revisions. Even higher abnormal returns can be achieved by applying such an earnings momentum strategy to stocks with a low dispersion in analyst forecasts. These results support one of the recent behavioural models in which investors underweight new evidence and conservatively update their beliefs in the right direction, but by too little in magnitude with respect to more objective information.     

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.