The effect of repeat restructuring charges on analysts’ forecast revisions and accuracy

The primary objective of this study is to examine the effect of prior restructuring charges on analyst forecast revisions and accuracy. We find evidence that analysts respond differently to first-time restructuring firms than to repeat restructuring firms. Analysts revise their forecasts of both one-year-ahead earnings and five-year long-term growth in earnings more negatively for first-time restructuring firms than for firms with prior charges. When we examine forecast errors in the year subsequent to the restructuring, we find that current charges complicate analysts’ earnings forecast task. We further find that the decline in analyst forecast accuracy is mitigated by prior charges within past two years.     

Robustness of Forecasting Financial Crises in Emerging Market Economies with Data Revisions—A Note

Data revisions routinely introduced by the World Bank can lead to significant revisions in empirical results. We show this by re-estimating our aggregate indicator for predicting the 1997 Asian crisis utilizing the 1999 and 2004 updates of the 1996 World Bank data and comparing these results to those we obtained (this Journal, 2000) for predicting the same event using the original, unrevised, 1996 World Bank data. Since most data-gathering organizations routinely revise their data, this may represent a much greater problem for policy makers than might be recognized.     

The Reluctant Analyst

We estimate the dynamics of recommendations by financial analysts, uncovering the determinants of inertia in their recommendations. We provide overwhelming evidence that analysts revise recommendations reluctantly, introducing frictions to avoid frequent revisions. More generally, we characterize the sources underlying the infrequent revisions that analysts make. Publicly available data matter far less for explaining recommendation dynamics than do the recommendation frictions and the long‐lived information that analysts acquire but the econometrician does not observe. Estimates suggest that analysts structure recommendations strategically to generate a profitable order flow from retail traders. We provide extensive evidence that our model describes how investors believe analysts make recommendations, and that investors value private information revealed by analysts' recommendations.     

Effect of foreign GAAP earnings and Form 20-F reconciliations on revisions of analysts' forecasts

A controversial area of U.S. securities regulations involves the Securities and Exchange Commission's (SEC) financial reporting requirements for foreign firms, specifically, the necessity of providing a quantitative reconciliation to U.S. GAAP (Form 20-F). The results of earnings-returns research to date indicate that the release of foreign GAAP earnings provides important information. However, the results of earnings-returns studies using reconciled information are mixed. Instead of using an earnings-returns methodology adopted in prior research, this study utilizes analysts' revisions as a market indicator of the effect of information released in foreign GAAP earnings and the reconciled information in Form 20-F. Additionally, the study investigates the influence of four firm-specific variables in the firm's information environment—similarities of accounting systems, analyst following, difference between reconciled earnings and foreign GAAP earnings, and dispersion of analysts' expectations—on positive abnormal revision activities of financial analysts at the time of filing Form 20-F.The results indicate that the release of foreign GAAP earnings (at earnings announcement dates) and reconciled information (at the time of filing Form 20-F) contains relevant information as measured by analysts' revisions. Further, variables representing analyst following, change in reconciled earnings, and dispersion of analysts' expectations are significant in explaining the variation observed in positive abnormal revisions.     

The time‐varying performance of UK analyst recommendation revisions: Do market conditions matter?

This study examines the time‐varying performance of investment strategies following analyst recommendation revisions in the UK stock market, with specific emphasis on the impact of changing market conditions. We find a negative relationship between the recommendation performance and market conditions as measured in terms of past market return and market volatility. In particular, the upgrade (downgrade) portfolio generates significantly positive (negative) net abnormal returns in bad market conditions (e.g., the dot‐com bubble burst in 2000 and the credit crisis in 2007), but not in other periods of time. Moreover, our non‐temporal threshold regression analysis shows that the reported negative relationship disappears when market conditions become better, i.e., when the past market return (market volatility) is higher (lower) than a certain level, indicating the importance of taking non‐linearity into account in the long sample period as examined in this study. Our time‐series bootstrap simulations further confirm that the superior recommendation performance in bad market conditions is not due to random chance; analysts have certain skills in making valuable up/downward revisions in bad markets.     

其他综合收益、管理防御与分析师预测

以2009—2013年A股非金融上市公司为研究对象,基于管理防御视角,研究了其他综合收益（OCI）对分析师预测的有用性。研究发现,分析师盈余预测时更充分反映了正值其他综合收益,对负值其他综合收益反映不足;其他综合收益为负值时,分析师会向下修正预测值,且会造成预测误差;而其他综合收益为正值时,却没有向上修正预测值,也没有导致预测误差。进一步研究发现,相对于管理防御程度高的情况,仅在管理防御程度低时,其他综合收益才对分析师预测有用。     

Are Revisions to USDA Crop Production Forecasts Smoothed?

This article uses Nordhaus' framework to determine the efficiency of the revision process for USDA corn and soybean production forecasts over the 1970/1971 through 2004/2005 marketing years. Positive autocorrelation and consistency of directional changes in forecast revisions suggest these forecasts are "smoothed." Evidence is provided that the loss in forecast accuracy due to smoothing is statistically and economically significant in several cases. A conservative bias in farm operators' assessments of yield potential and in the procedure for translating enumerator's information about plant fruit counts into objective yield estimates are identified as plausible sources of smoothing.     

Analysts’ forecast revisions and firms’ research and development expenses

This study examines whether reported values for firms’ research and development (R&D) affect analysts’ annual earnings forecast revisions following quarterly earnings announcements. Because R&D introduces uncertainty into earnings forecasts, analysts may benefit from additional information searches in an effort to increase forecast accuracy. Also, accounting standards mandate an immediate expensing of R&D, in essence projecting a zero value for the R&D. To the extent that R&D will produce future payoffs, the expense treatment reduces the informativeness of reported earnings for forecasting future earnings. Thus, the marginal benefit of analysts’ efforts to produce more information may increase with the magnitude of the R&D component of earnings announcements and trigger additional forecast revisions. Alternatively, if the cost of information searches exceeds the benefit, analysts’ forecast revisions may decrease. Our results show a positive relation between R&D expenses and analysts’ forecast revision activity. We also find a positive and significant association between the level of R&D expenses and the magnitude of analysts’ forecast revisions following quarterly announcements. These results point to a greater amount of analyst scrutiny when reported earnings are accompanied by high levels of R&D expenses.