Forecasts in IPO Prospectuses: The Effect of Corporate Governance on Earnings Management

Prior research suggests that managers may use earnings management to meet voluntary earnings forecasts. We document the extent of earnings management undertaken within Canadian Initial Public Offerings (IPOs) and study the extent to which companies with better corporate governance systems are less likely to use earnings management to achieve their earnings forecasts. In addition, we test other factors that differentiate forecasting from non‐forecasting firms, and assess the impact of forecasting and corporate governance on future cash flow prediction. We find that firms with better corporate governance are less likely to include a voluntary earnings forecast in their IPO prospectus. In addition, we find that while IPO firms use accruals management to meet forecasts; the informativeness of the discretionary accruals depends on whether or not the firm would have missed its forecast without the use of discretionary accruals.     

Analysts Earnings Forecasts and the Roles of Earnings and Book Value in Equity Valuation

This study examines the effect of the degree of association between current earnings and expected future earnings on the relative importance of earnings and book value for explaining equity price. Consensus analysts forecasts of one-year-ahead earnings are used to proxy for expected future earnings and are compared to reported current earnings to measure the degree of the association. We find that the value-relevance of current earnings negatively correlates with the extent to which consensus analysts forecasts deviate from current earnings. We also find that the incremental explanatory power of book value for equity price positively correlates with this measure. These results remain robust after controlling for factors known to be affecting the value-relevance of earnings such as negative earnings and the earnings-to-book ratio. Our results also show that this analysts' forecast-based measure of `earnings persistence' dominates historical earnings variance in explaining cross-sectional variations in the value-relevance of earnings and book value.     

Causes and Consequences of Disaggregating Earnings Guidance

Whether managers should provide earnings guidance, especially quarterly guidance, has been a hotly debated policy issue. Influential organizations have urged firms to stop providing earnings guidance to reduce earnings fixation and short‐termism in the capital markets. Little attention has been paid to an alternative proposal: instead of ceasing earnings guidance, companies could provide disaggregated earnings guidance. No archival evidence exists regarding the determinants of disaggregated earnings guidance and its effects on the firm and its information environment. We find that once managers provide guidance, the decision to disaggregate this guidance is primarily driven by demand‐and‐supply factors that exhibit little change from year to year rather than by strategic factors. We find more timely analyst forecast revisions (with no compromise of forecast accuracy), a greater magnitude of revisions, and a larger reduction in analyst disagreement for disaggregating firms than for non‐disaggregating firms. These findings suggest that disaggregation enriches a firm's information environment. We also find that disaggregation helps managers align analyst expectations with their own, but firms are punished by investors for providing multiple performance targets but missing them.     

Abnormal Returns from Predicting Earnings Thresholds

This study examines the performance of a trading strategy based on the prediction of firms concurrently reporting a positive earnings change and meeting analysts’ earnings forecasts. The evidence indicates that a model predicting both earnings thresholds concurrently can yield excess returns that are incremental to predicting only one earnings threshold. Further, I find that the prediction of forecast errors is relatively more important than predicting earnings changes as the incremental benefit from predicting earnings changes concurrently with forecast errors is small relative to a model that predicts only forecast errors. The results hold while controlling for various risk factors and known anomalies.     

The Quality of Analysts' Earnings Forecasts During the Asian Crisis: Evidence from Singapore

We bring together three disparate strands of literature to develop a comprehensive empirical framework to examine the efficiency of security analysts' earnings forecasts in Singapore. We focus specifically on how the increased uncertainty and the negative market sentiment during the period of the Asian crisis affected the quality of earnings forecasts. While we find no evidence of inefficiencies in the pre-crisis period, our results suggest that after the onset of the crisis, analysts (1) issued forecasts that were systematically upward biased; (2) did not fully incorporate the (negative) earnings-related news; and (3) predicted earnings changes which proved too extreme.     

The Relevance of Analysts' Earnings Forecasts in Japan

Abstract:   This study examines the role of financial analysts in equity valuation in Japan by comparing the relevance of financial analysts' earnings forecasts, over financial statement information, to investors' decisions. We find that the value‐relevance of a set of accounting variables is very modest, but the incremental contribution of analysts' forecasts is very significant. This is in line with the expectation that the skill and expertise of analysts are more valuable in markets with poor financial disclosure, such as Japan. We also find that the importance of the financial statements increases over time while the importance of the analysts' forecasts does not change. We also provide evidence of the effect of Japanese corporate groupings, keiretsu, on the informativeness of accounting signals and earnings forecasts. The results show that the contribution of accounting variables to valuation is lower for keiretsu firms, which supports the exclusionary hypothesis that companies which are a part of keiretsu, disclose less information than do non‐keiretsu companies. The analysts' forecasts are equally important for investors in both types of firms.     

Intangible Assets, Information Complexity, and Analysts' Earnings Forecasts

Abstract:   We examine the relation between analysts' earnings forecasts and firms' intangible assets, including technology‐based intangibles, brand names, and recognized intangibles. We predict that high information complexity of intangible assets increases the difficulty for analysts to assimilate information and increases analysts' forecast error of intangibles‐intensive firms. We find a positive association between analysts' forecast error and the firm's intangible intensity that deviates from the industry norm. We also find that analysts' forecast errors are greater for firms with diverse and innovative technologies. In contrast, analysts' forecast errors are smaller for biotech/pharmaceutical and medical equipment firms that are subject to intangibles‐related regulation.     

Accruals Management to Achieve Earnings Benchmarks: A Comparison of Pre-managed Profit and Loss Firms

Abstract:  This study examines whether firms with profits before accruals management are more likely than firms with losses before accruals management to meet or exceed earnings benchmarks when pre-managed earnings are below those benchmarks. We extend Brown (2001) by documenting that the differential propensity to achieve earnings benchmarks by profitable and nonprofitable firms results from differential accruals management behavior. We find that firms with profits before accruals management are more likely than firms with losses before accruals management to have pre-managed earnings below both analysts' forecasts and prior period earnings and reported earnings above these benchmarks.     

On the Use of Intra-Industry Information to Improve Earnings Forecasts

We investigate whether earnings forecasts are improved by earlier earnings disclosures by firms in the same industry. We find improvements for time series forecasts, but not for analysts' forecasts. Considering prior earnings announcements reduces correlations between forecast errors and security price reactions to earnings announcements, even when incorporating these announcements improves forecast accuracy. Our explanation for this anomaly, which is supported by additional analysis, is that intra-industry information facilitates predicting transitory, rather than permanent, earnings components. The question of whether information transfers improve earnings forecasts provides the context for the analysis, but the primary contribution is the documentation of intra-industry information transfers in a setting other than capital markets.     

Do Analysts Disclose Cash Flow Forecasts with Earnings Estimates when Earnings Quality is Low?

Cash flows are incrementally useful to earnings in security valuation mainly when earnings quality is low. This suggests that when earnings quality decreases, analysts will be more likely to supplement their earnings forecasts with cash flow estimates. Contrary to this prediction, we find that analysts do not disclose cash flow forecasts when the quality of earnings is low. This is because cash flow forecast accuracy depends on the accuracy of the accrual estimates and the precision of accrual forecasts decreases for firms with low quality earnings. Consequently, as earnings quality decreases, cash flow forecasts become increasingly inaccurate compared to earnings estimates. Cash flow estimates that lack reliability are not useful to investors and, consequently, unlikely to be reported by analysts. This result provides an explanation for why analysts are less likely to report cash flow estimates when earnings quality is low.     

Analysts’ and Investors’ Reactions to Consistent Earnings Signals

We investigate (1) whether the trajectory of the current‐quarter earnings expectation path (defined by the signs of the forecast revision and the earnings surprise) provides information about future firm performance, and (2) the extent to which analysts and investors react to that information. Our results indicate that analysts underreact more to earnings information revealed by consistent‐signal earnings expectation paths than to earnings information communicated by inconsistent‐signal expectation paths. We also find that the current earnings expectation path provides incremental explanatory power for future abnormal returns, even after controlling for the sign and magnitude of the earnings surprise. Overall, our evidence is consistent with underreaction stemming from analysts’ and investors’ bias in processing the information in consistent‐signal earnings expectation paths.     

Do Managers Use Meeting Analyst Forecasts to Signal Private Information? Evidence from Patent Citations

This study examines whether firms manage earnings to meet analyst forecasts to signal superior future performance. Prior research finds that firms use earnings management to just meet analyst forecasts and that these firms have a positive association with future performance (Bartov et al., 2002). There are two potential explanations for the positive association – signaling and attaining benefits that allow for better future performance (i.e., the real benefits explanation). Prior studies cannot provide evidence of signaling because they do not control for the real benefits explanation. Our research design enables us to control for the real benefits explanation because we can identify potential signaling firms within the sample of firms that just meet analyst forecasts. We use a unique database from the National Bureau of Economic Research to construct a proxy for the manager's belief about future firm value due to patents. We find that firms with more patent citations are more likely to just meet the analyst forecast and manage earnings to achieve this goal. We also find firms that just meet analyst forecasts with more patent citations have significantly better performance than firms with fewer patent citations, which is consistent with signaling and not the real benefits explanation.     

Non‐GAAP Earnings Disclosure in Loss Firms

This study examines the incremental information in loss firms’ non‐GAAP earnings disclosures relative to GAAP earnings. Using a large sample obtained through textual analysis and hand‐collection, we posit and find that loss firms’ non‐GAAP earnings exclusions offset the low informativeness of GAAP losses for forecasting and valuation. Loss firms’ non‐GAAP earnings are highly predictive of future performance and are valued by investors, while the expenses excluded from GAAP earnings are not. Additional tests suggest that loss firms disclosing non‐GAAP profits have significantly better future performance than GAAP‐only loss firms and are not overvalued by investors. Comparing non‐GAAP earnings of profitable firms to those of loss firms, we find that loss firms’ non‐GAAP metrics are significantly more predictive and less strategic. We conclude that non‐GAAP earnings disclosures are particularly informative about loss firms and help investors disaggregate losses into components that have differential implications for forecasting and valuation.     

Public regulatory reform and management earnings forecasts in a low private litigation environment

We examine the impact of continuous disclosure regulatory reform on the likelihood, frequency and qualitative characteristics of management earnings forecasts issued in New Zealand’s low private litigation environment. Using a sample of 720 earnings forecasts issued by 94 firms listed on the New Zealand Exchange before and after the reform (1999–2005), we provide strong evidence of significant changes in forecasting behaviour in the post‐reform period. Specifically, firms were more likely to issue earnings forecasts to pre‐empt earnings announcements and, in contrast to findings in other legal settings, those earnings forecasts exhibited higher frequency and improved qualitative characteristics (better precision and accuracy). An important implication of our findings is that public regulatory reforms may have a greater benefit in a low private litigation environment and thus add to the global debate about the effectiveness of alternative public regulatory reforms of corporate requirements.     

Business Cycle and Management Earnings Forecasts

This study examines the effects of the economic cycle on the properties of management earnings forecasts. Although a large volume of accounting literature examines the determinants of managerial earnings forecasts, the properties of such forecasts, and the response of market participants to earnings forecasts (Cameron 1986; King et al., 1990; Hirst et al., 2008), research on management earnings forecasting incentivized by macro‐economic factors has received scant empirical investigation. We use the National Bureau of Economic Research economic cycle definition to operationalize economic recession, and consider some commonly used management earnings forecast characteristics, including forecast likelihood, forecast frequency, forecast error, forecast pessimism, and forecast precision. We find that the likelihood of providing management earnings forecasts and frequency of forecasts increases during economic recession. We also find that economic recession is positively associated with forecast error, but negatively associated with forecast precision. Our findings suggest macro‐economic factors as an important determinant of management earnings forecasts properties.     

Management Earnings Forecasts,Earnings Announcements,and Institutional Trading in China

Abstract:

In this study, we investigate the trading behavior of institutional investors in China according to management earnings forecasts (MEFs) and earnings announcements (EAs). MEFs are mandatory under the stringent regulatory framework in China. We find evidence that both MEFs and EAs have an effect on the market. However, MEFs have a bigger effect on the market than do EAs. According to a sample of semiannual observations of firms from 2003 to 2008, we find that changes in the stock ownership of institutions are positively associated with EAs but not significantly associated with MEFs. When we further examine the relations between institutional characteristics and trading strategies, we find that growth funds exploit the arbitrage opportunity of MEFs.     

The Accrual Effect on Future Earnings

Earnings manipulation has become a widespread practice for US corporations. However, most studies in the literature focus on whether certain incentives would facilitate managers to manipulate earnings and there has been little evidence documenting the consequences of earnings manipulation. This paper fills this gap by examining how current accruals affect future earnings (the accrual effect) and measuring the size of this effect. We find that the aggregate future earnings will decrease by $0.046 and $0.096, respectively, in the next one and three years for a $1 increase of current accruals. Over the very long-term (25 years), 20% of current accruals will reverse. This negative accrual effect is more significant for firms with high price-earnings ratios, high market-to-book ratios and high accruals where earnings management is more likely to occur. We show that incorporating the accrual effect is useful in improving the accuracy of earnings forecasts for these firms. Accordingly, the empirical results are consistent with the notion that earnings management causes the negative relationship between current accruals and future earnings. In addition, this paper shows that one recently developed accrual model has better performance than the popularly cited model in identifying manipulated earnings.     

Why Do Managers Explain Their Earnings Forecasts?

Managers often explain their earnings forecasts by linking forecasted performance to their internal actions and the actions of parties external to the firm. These attributions potentially aid investors in the interpretation of management forecasts by confirming known relationships between attributions and profitability or by identifying additional causes that investors should consider when forecasting earnings. We investigate why managers choose to provide attributions with their forecasts and whether the attributions are related to security price reactions to management earnings forecasts. Using a sample of 951 management earnings forecasts issued from 1993 to 1996, we find that attributions are more likely for larger firms, less likely for firms in regulated industries, less likely for forecasts issued over longer horizons, more likely for bad news forecasts, and more likely for forecasts that are maximum type. Furthermore, attributions are associated with greater absolute price reactions to management forecasts, more negative price reactions to management forecasts (forecast news held constant), and a greater price reaction per dollar of unexpected earnings. Our findings hold after control for the aforementioned determinants of attributions and after control for other firm‐ and forecast‐specific variables that are often associated with security prices.     

Earnings Volatility and Earnings Prediction: Analysis and UK Evidence

This paper confirms that US evidence of a negative relationship between earnings persistence and earnings volatility applies to UK firms over the period 1991–2010. Our analytical framework highlights the possibility that this result may reflect downward estimation bias in earnings persistence (and persistence of cash flow and accruals components of earnings) related to transitory earnings elements. Out‐of‐sample forecasts, based on models estimated for earnings volatility quartiles, suggest significant improvement in earnings forecasts for lower volatility firms. The results also suggest that the negative association between earnings persistence and volatility may be due to both estimation bias and variation in core earnings persistence.