Financial analysts' forecasts of earnings: Their value to investors

This paper attempts to determine whether financial analysts' forecasts of earnings are useful to investors. This is accomplished by devising and evaluating the performance of trading rules under which transactions are triggered by revisions in earnings forecasts. The main finding is that an investor who acts upon the publicly available revisions of earnings forecasts can consistently outperform a buy-and-hold policy; in fact, such an investor could more than double his return. The results are inconsistent with the efficient market-hypothesis and indicate that the market reacts gradually rather than instantaneously to new information.     

Financial analysts' forecasts of earnings: A better surrogate for market expectations

The specification of the market expectation of accounting numbers is a common feature of many empirical studies in accounting and finance. Givoly and Lakonishok (1979) found that financial analysts' forecasts have information content. This study evaluates the quality of analysts' forecasts as surrogates for the market expectation of earnings and compares it with that of prediction models commonly used in research. Results indicate that prediction errors of analysts are more closely associated with security price movements, suggesting that analysts' forecasts provide a better surrogate for market expectations than forecasts generated by time-series models. The study also identifies factors that might contribute to the performance of the financial analysts'forecasts. The broadness of the information set employed by analysts and, to a lesser extent, their reliance on information released after the end of the fiscal year appear to be important contributors to their performance.     

Evaluating the information content of earnings forecasts

This study develops a framework to compare the ability of alternative earnings forecast approaches to capture the market expectation of future earnings. Given prior evidence of analysts’ systematic optimistic bias, we decompose earnings surprises into analysts’ earnings surprises and adjustments based on alternative forecasting models. An equal market response to these two components indicates that the associated earnings forecast is a sufficient estimate of the market expectation of future earnings. To apply our framework, we examine four recent regression-based earnings forecasting models, alongside a simple earnings-based random walk model and analysts’ forecasts. Using the earnings forecasts of the model that satisfies our sufficiency condition, we identify a set of stocks for which the market is unduly pessimistic about future earnings. The investment strategy of buying and holding these stocks generates statistically signi?cant abnormal returns. We offer an explanation as to why this and similar strategies might be successful.     

Business and financial information integration and voluntary management earnings forecasts

In this study, the impact of business and financial information integration (BFII) on the voluntary management earnings forecasts (VMEFs) of listed firms in China between 2008 and 2018 is investigated. Drawing on litigation cost and ability signaling theories, we find that the adoption of BFII encourages top managers to disclose VMEFs. BFII firms are identified through the textual analysis of management discussion and analysis (MD&A) reports, and the empirical results indicate that BFII firms have a higher probability and frequency of issuing VMEFs than non-BFII firms. The results remain robust after we identify causality by applying a propensity score matching and difference-in-differences (PSM-DID) test and use an alternate measure of BFII. Further tests show that BFII firms issue more accurate VMEFs and are able to issue them at an earlier stage. We also find that the positive relationship between BFII and VMEFs is weakened if the media expresses concern about the uncertainty of BFII adoption.     

The heterogeneous impact of macroeconomic information on firms' earnings forecasts

This paper re-examines the role of macroeconomic information in forecasting firm earnings. We adopt a Fama–MacBeth regression model with the important extension of including information from over 140 macroeconomic variables that enter into the model in a reduced dimension form as a consequence of common factor analysis. The resulting factor-augmented model is then used to evaluate the importance of macroeconomic information on earnings forecasts for U.S. firms from 1962 to 2009. The same model is also examined for each individual time window and industry subsample. The results reveal a clear and heterogeneous impact of macroeconomic information on firm-specific earnings forecasts, and that these effects differ markedly during certain periods and across industries. In addition, when compared to analyst forecasts, we show that our model is generally more accurate over longer forecast horizons. The results of the identified heterogeneous impacts are used to define the conditions under which macroeconomic information becomes important for the firm.     

IFRS adoption and analysts’ earnings forecasts: Australian evidence

We study 145 large listed Australian firms to explore the impact of international financial reporting standards (IFRS) adoption on the properties of analysts’ forecasts and the role of firm disclosure about IFRS impact. We find that analyst forecast accuracy improves, and there is no significant change in dispersion in the adoption year, suggesting that analysts coped effectively with transition to IFRS. However, we do not observe the expected relationship between firms’ IFRS impact disclosures in their financial statements issued at the end of the transition year with forecast error and dispersion in the adoption year. The results question the timeliness and usefulness of financial statement disclosure, even in a setting where disclosure was mandated by accounting standards (AASB 1047 and AASB 1) and firms had strong incentives to provide information to analysts.     

Analysts' forecasts of Japanese firms' earnings: additional evidence

This article examines analysts' forecasts of Japanese firms' earnings during Japan's economic burst period in the 1990s. Using the evidence of analyst earnings forecasts in the United States as a benchmark, the article documents the following three findings. First, whereas the forecast accuracy of U.S. analysts following U.S. firms improves over time, the forecast accuracy of U.S. and Japanese analysts following Japanese firms does not. Second, whereas decreases in forecast errors of U.S. analysts following U.S. firms are best explained by decreases in forecast bias of the analysts, increases in forecast errors of U.S. and Japanese analysts following Japanese firms are best explained by increases in the frequency of losses experienced by Japanese firms. Third, Japanese analysts forecast earnings less accurately than do U.S. analysts. These findings reflect the difficulty of producing accurate earnings forecasts during economic downturns. They also suggest that Japanese analysts are more bound than their U.S. counterparts by cultural ties that impede forecast accuracy.     

The joint information role of analysts’ cash flow and earnings forecasts

We study whether the relative magnitudes of analysts’ cash flow and earnings forecasts convey information about the persistence and value relevance of reported earnings. We find that reported earnings are likely to be more (less) persistent and value relevant when analysts forecast relatively moderate (extreme) levels of operating cash flows, relative to earnings. We also find that the market’s response to a given earnings surprise is the strongest for moderate levels of cash flow forecasts relative to earnings. The joint information role of analysts’ cash flow and earnings forecasts persists even after controlling for the absolute accruals in the model.     

Contemporaneous verification of language: evidence from management earnings forecasts

Research documents that linguistic tone is incrementally informative about stock returns. What remains a puzzle is the mechanism by which investors can assess its credibility. We examine whether contemporaneous information in management earnings forecasts serves as a timely alternative to ex post verification. We document that ex post verifiable quantitative news in unbundled forecasts, and characteristics of the linguistic tone itself, affect investors’ pricing of tone. Consistent with higher quality signals enhancing the credibility of contemporaneous lower quality signals, we find that quantitative news verifies the associated linguistic tone; when the two signals have the same sign, the price effect of tone is stronger. Furthermore, the pricing attenuation of tone is increasing in the imprecision of the quantitative forecast, suggesting that lower forecast quality compromises the quantitative signal’s credibility enhancement. Managerial incentives to inflate tone lead to the verification effect being greater for optimistic language, while management’s use of hyperbole results in attenuation of the tone’s pricing.     

The incidence of earnings management on information asymmetry in an uncertain environment: Some Canadian evidence

In this study, we investigate the association between earnings management and information asymmetry considering environmental uncertainty. Results show that a complex and dynamic environment weakens the relationship between discretionary accruals and information asymmetry measured as share price volatility and bid-ask spread. More specifically, the positive relationship between earnings management and information asymmetry is weakened for diversified firms, those intensively investing in R&D, and those facing high sales volatility. This highlights the difficulty for investors to assess earnings management in an uncertain environment. Finally, in such a context, discretionary accruals are more likely to be detected by investors for firms cross-listed on a U.S. stock exchange, a more liquid and transparent stock market compared with the Canadian stock market.     

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.     

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     

The incremental information content of replacement cost earnings

The study explores the incremental explanatory power of replacement cost earnings variables (derived from ASR 190 data) with respect to explaining cross sectional differences in security returns. As such, the study is a natural extension of previous research, including analyses of the effect of security returns of ASR 190 data at the time of disclosure, investigations of cross sectional relationships between security returns and historical cost earnings, and studies of multiple signals. The basic finding is that pre-holding gain net income provides no incremental explanatory powerm given knowledge of historical cost earnings. However, the converse does not hold. Taken together, the findings are consistent with the contention that pre-holding gain net income is a garbled version of historical cost earnings. The basic finding is robust under several extensions of the initial research design. The research design incorporates a two-stage approach which permits a determination of the incremental explanatory power of collinear variables. The findings are in contrast to those of a previous study by Easman et al. (1979). The nature of the difference in research design inducing the difference is identified. Potential reasons for the difference in findings are provided.     

Institutional effects on information content of US and French management earnings forecasts: Evidence from market reactions and analyst revisions

The United States and France are both most developed economies in the world. Their socio-economic institutions, however, are very different. These differences are indications of their dichotomous legal regimes: common law in the US versus code law in France. The political influence of these legal regimes, in turn, leads to a dichotomized classification of accounting systems: the British-American Model and the French Continental Model. This study extends these institutional effects into the field of management earnings forecast. We find that earnings forecasts by French firms are less informative than those made by US firms matched-up by industry and firm size. We also compare US and French financial analysts' revisions of their forecasts following the management forecasts. We find that revisions by French analysts are more influenced by management forecasts. Our findings are consistent with prior studies that argue that information asymmetry in code-law countries is largely resolved through private information channels, rendering less information content in management announcements and less demand and incentives for original research by financial analysts.     

Management earnings forecasts and IPO performance: evidence of a regime change

Companies undertaking initial public offerings (IPOs) in Greece were obliged to include next-year profit forecast in their prospectuses, until the regulation changed in 2001 to voluntary forecasting. Drawing evidence from IPOs issued in the period 1993–2015, this is the first study to investigate the effect of disclosure regime on management earnings forecasts and IPO long-term performance. The findings show mainly positive forecast errors (forecasts are lower than actual earnings) and higher long-term returns during the mandatory period, suggesting that the mandatory disclosure requirement causes issuers to systematically bias profit forecasts downwards as they opt for the safety of accounting conservatism. The mandatory disclosure requirement artificially improves IPO share performance. Overall, our results show that mandatory disclosure of earnings forecasts can impede capital market efficiency once it goes beyond historical financial information to involve compulsory projections of future performance.     

Analyst information production and the timing of annual earnings forecasts

We investigate whether the reputation-herding theory or the tradeoff theory explains variation in the timing of individual analysts’ forecasts. Using forecast accuracy improvements, forecast boldness, and the price impact of forecasts as measures of forecast quality, we find that in the information discovery phase that precedes an earnings announcement, earlier forecasts have higher quality than later forecasts. We also find a similar pattern in the information analysis phase that begins with the earnings announcement date. Our findings suggest that consistent with the herding theory, analysts who are more capable participate early in discovering and analyzing information, and therefore earlier forecasts in the information discovery and analysis phases are of higher quality than later forecasts in that phase.     

New evidence on the incremental information content of earnings reported using the LIFO inventory method

This study extends prior research by comparing the relative information quality of LIFO earnings and non-LIFO earnings using updated data and methodology. Results suggest LIFO earnings are incrementally informative independent of tax reporting implications. In addition to shedding light on why the results of prior studies present conflicting evidence about the relative information content of LIFO, these findings are important in light of international accounting standards convergence efforts, under which LIFO is currently prohibited.     

Macro information environment change and the quality of management earnings forecasts

The 1990s were characterized by substantial increases in the performance of and investor reliance on financial analysts. Because managers possess superior private information and issue forecasts to align investors’ expectations with their own, we predict that managers increased the quality of their earnings forecasts during the 1990s in order to keep pace with the improved forward-looking information provided by financial analysts, upon which investors increasingly relied. Using a sample of 2,437 management earnings forecasts, we document an increase in management earnings forecast precision, management earnings forecast accuracy, and managers’ tendency to explain earnings forecasts in 1993–1996 relative to 1983–1986. Given that these forecast characteristics are linked to greater informativeness and credibility, we also document that the information content of management earnings forecasts, as measured by the strength of share price responses to forecast news, increased in 1993–1996 relative to 1983–1986. As expected, the increased information content of management forecasts primarily occurred for firms covered by financial analysts.

The supply of analysts and earnings forecasts

Using a unique set of hand-collected data, this study examines whether a larger supply of prospective analysts leads to existing financial analysts' higher earnings forecast accuracy. We analyze the effect of the analyst supply proxied by the number of universities and the number of finance and economics universities located in the same city as the headquarters of brokerage firms. Our findings suggest that brokerage firms located closer to a larger supply of potential analyst candidates are associated with higher analyst forecast accuracy, as observed by a lower forecast error. We further find that the degree of employed analysts' effort acts as a mediator between the supply of prospective analysts and the accuracy of their earnings forecasts.     

Sources of earnings variability and their effect on earnings forecasts

Previous research shows that analysts’ forecasts of earnings do not fully incorporate information contained in reported earnings variability. This study investigates whether the inefficient forecast is because of a failure to incorporate observable information on two components of earnings variability: variability in operating performance and income smoothing. Our results show that analysts’ forecasts fully incorporate information contained in earnings variability for firms with high income smoothing and for firms with low operating variability. A smaller serial correlation of forecast errors is observed for firms with low operating variability, which suggests that analysts recognize the permanence in earnings for such firms.