The effect of consistency in book-tax differences on analysts’ earnings forecasts: Evidence from forecast accuracy and informativeness

This study examines the relationship between the consistency of book-tax differences and the quality of analysts’ earnings forecasts. We find that the consistency of book-tax differences is associated with more accurate and informative forecasts. This suggests that the information embedded in the consistency of book-tax differences plays an important role in elevating the quality of analysts’ forecasts. Furthermore, the effect of consistency in book-tax differences on analyst forecast quality is greater for firms with noisier information environment. Finally, we find that the relation between consistency in book-tax differences and improvements in forecast accuracy and informativeness is stronger after the implementation of Regulation Fair Disclosure, which increased the role of public information in analysts’ forecasts.     

The determinants of analyst-firm pairings

This paper explores the determinants of observed analyst-firm pairings. We adopt an analyst/brokerage house perspective that allows us to examine not only firm-level characteristics as in prior research, but also attributes of the analyst and the analyst’s brokerage house that may drive these pairings. Our empirical analyses provide two primary insights. First, analyst characteristics such as industry expertise and relative experience, and brokerage house characteristics such as continuity of coverage, are associated with the decision to follow a firm. Second, there is substantial variation in the association between firm, analyst, and brokerage house characteristics and the decision to follow a firm; this occurs across individual analysts as well as across different types of brokerage houses. Overall, our results provide further insights into the factors leading to observed analyst-firm pairings, and indicate that these factors vary across analysts and their brokerage houses – suggesting richer associations than the average firm-level relationships documented by prior research.     

The impact of the U.S. employment report on exchange rates

The impact of the U.S. Employment Report and analyst forecasts of that report’s major statistics on Pound/Dollar, Yen/Dollar, and Euro/Dollar exchange rates are explored. While the nonfarm payroll employment figure has the greatest impact, we find that the exchange rates also react to the announced revision to last month’s payroll figure and to the unemployment rate. In all three markets, the exchange rate response to the payroll employment figure is strongly conditioned on pre-release analyst uncertainty. The median analyst forecast from Bloomberg anticipates over 80% of the monthly variation in the payroll figure and is basically unbiased. The markets appear to respond to these analyst forecasts prior to the government release. Analyst forecast dispersion tends to increase following large forecast errors indicating that when the announced figure is far from what analysts expected, they tend to disagree on the implications for future payroll levels.     

Why do options prices predict stock returns? Evidence from analyst tipping

We study the role of analysts and options traders in the information transmission between options and stock markets. We first show that the predictive power of option implied volatilities (IVs) on stock returns more than doubles around analyst-related events, indicating that a significant proportion of the options predictability on stock returns comes from informed options traders’ information about upcoming analyst-related news. We examine three explanations for this finding: tipping, reverse tipping and common information. We find that analyst tipping to options traders is the most consistent explanation of these predictive patterns.     

非财务信息披露与分析师预测——基于深市上市企业社会责任报告的实证检验

以深市上市企业披露的社会责任报告作为非财务信息的替代变量,实证检验了非财务信息披露质量与分析师盈利预测的关系。多元回归分析结果表明,企业社会责任报告披露质量越好,其分析师盈利预测越精确,并且在财务透明度低的企业中,这种正向关系更显著。这说明社会责任报告披露的这类非财务信息对分析师预测不仅具有信息含量,而且能够通过对财务信息的补充作用,缓解财务不透明对分析师预测精度的不利后果。     

Informed trading before analyst downgrades: Evidence from short sellers

This paper studies short-selling prior to the release of analyst downgrades in a sample of 670 downgrades of Nasdaq stocks between 2000 and 2001. We find abnormal levels of short-selling in the three days before downgrades are publicly announced. Further, we show that this pre-announcement abnormal short-selling is significantly related to the subsequent share price reaction to the downgrade, and especially so for downgrades that prompt the most substantial price declines. Our findings are robust to various controls that might also affect short-selling such as pre-announcement momentum, three-day pre-announcement returns, and announcement-day share price. In addition, the results are independent of scheduled earnings announcements, analyst herding, and non-routine events near downgrades. Further evidence suggests that tipping is more consistent with the data than the prediction explanation which posits that short sellers successfully predict downgrades on the basis of public information about firms’ financial health. Finally, we present evidence that downgraded stocks with high abnormal short-selling perform poorly over the subsequent six months by comparison with those with low abnormal short-selling. Overall, our results support the hypothesis that short sellers are informed traders and exploit profitable opportunities provided by downgrade announcements.     

Learning and incentive: A study on analyst response to pension underfunding

There is a long-standing debate on whether sell-side analysts learn from their experience to improve earnings forecast skills. This study shows that incentive is an important factor for understanding the “learning by doing” effect by analysts. We examine analysts’ response to a complex type of information – corporate pension underfunding. Pension underfunding negatively impacts future earnings and analysts on average underreact to such information in their earnings forecasts. More importantly, when there is a strong incentive for analysts to deliver accurate forecasts, analyst learning effectively reduces their underreaction to pension underfunding information. On the other hand, when such an incentive is absent, the analyst learning effect is not discernible in the data. Further evidence suggests that analyst learning and incentive jointly reduce stock market mispricing associated with corporate pension underfunding.     

Do analysts follow emerging economy firms with higher intangible assets? Empirical evidence from Egypt

This paper tests whether analyst coverage and effort are related to the level of intangible assets reported by Egyptian listed firms. Intangible assets represent increasingly important investments for many firms, but most of these assets are not capitalized under prevailing accounting standards. Analysts reduce the information asymmetry by examining both financial reports and other information. Many Egyptian firms today seek access to foreign capital. I hypothesize that the larger the potential intangible assets of firms the more analysts will cover these firms and pursue private information about these firms. Sample consists of 435 firm-year observations over the period 1999–2007, and intangible assets are measured using eight different firm- and industry-level proxies. Consistent with prior research, results suggest that coverage is significantly associated with firm R&D, industry advertising expenses, firm size, and trading volume. Results also suggest that analyst effort is a function of firm and industry-level R&D expenses and firm size.     

Are inter-segment revenues informative about future performance?

This study investigates the degree to which a specific component of segmental disclosure, intersegment transactions, informs future segment-level and firm-level profitability. By using segment data reported under the FAS No. 131 regime, we find a positive association between intersegment revenues and one-year-ahead segment operating profits; this association is weakened by agency costs but not proprietary costs. We also find that the aggregate intersegment revenue reported by a firm is positively associated with future firm-level earnings. However, analysts seem to underreact to information in aggregate intersegment revenue.