A new perspective on post‐earnings‐announcement‐drift: Using a relative drift measure

Prior research finds that there is a delayed reaction to both analyst‐based earnings surprises and random‐walk‐based earnings surprises. Focusing on the market reaction from the post‐announcement window, prior studies show that analyst‐based drift is larger than random walk‐based drift. This finding is counter‐intuitive if we believe large, sophisticated investors tend to trade on analysts’ forecast earnings news and thus react faster and more completely than smaller and less sophisticated investors react to random walk earnings news. In this study, we construct a relative measure of post‐earnings‐announcement drift (PEAD) (i.e., drift as a proportion of total market reaction to earnings news) which we refer to as the ‘drift ratio’, and we provide evidence, consistent with our intuition, that analyst‐based drift ratio is smaller (not greater) than random‐walk‐based drift ratio. We find that this difference is more pronounced in more recent periods and for firms with more sophisticated investors. Our approach to measure the PEAD is more intuitive than that in traditional PEAD literature. Our results thus complement existing research findings by utilizing the drift ratio measure to generate new insights about the drift phenomenon.     

Earnings Management and the Post‐earnings Announcement Drift

We posit that the post‐earnings announcement drift (PEAD) is related to earnings management. Accordingly, we find that firms with large negative (positive) changes in operating cash flows manage accruals upward (downward). Most importantly, we find that PEAD is concentrated largely among those firms that are most likely to have smoothed their reported earnings and is generally associated with discretionary accruals as opposed to nondiscretionary accruals. There is no evidence of a positive (negative) PEAD for those firms with large positive (negative) earnings changes that are least likely to have managed earnings downward (upward).     

Post‐Earnings Announcement Drift: Bounds on Profitability for the Marginal Investor

The persistence of the post‐earnings announcement drift (PEAD) leads many to believe that trading barriers prevent investors from eliminating it. We examine two factors that have not been adequately addressed by the literature: the exact timing of earnings announcements and liquidity costs. Under a wide range of timing and cost assumptions, our results leave little doubt that over our sample period the PEAD was highly profitable after trading costs. An additional incremental investor could have earned hedged‐portfolio returns of at least 14% per year after trading costs. Over our sample period, investors did indeed leave money on the table.     

Earnings communication conferences and post-earnings-announcement drift: Evidence from China

Earnings communication conferences in China have become the main platform for direct communication between listed firms and individual investors. This study investigates whether hosting an earnings communication conference and its tone affect post-earnings-announcement drift (PEAD). We find that hosting an earnings communication conference increases PEAD. One possible explanation for our results is that investors overreact to the stock prices of firms that hold earnings communication conferences. We also conclude that the conference tone is negatively correlated with PEAD. In addition, the market reacts more strongly to the managers’ tone than it does to the investor's tone.     

Individual Large Shareholders,Earnings Management,and Capital‐Market Consequences

Using a large hand‐collected sample of all blockholders (ownership ≥ 5%) of S&P 1500 firms for the years 2002–2009, we first document significant individual blockholder effects on earnings management (accrual‐based earnings management, real earnings management, and restatements). This association is driven primarily by these large shareholders influencing rather than selecting firms’ financial reporting practices. Second, the market's reaction to earnings announcements suggests that investors recognize the heterogeneity in blockholders’ influence on earnings management. The results highlight the highly individualized effects of blockholders and a mechanism through which shareholders impact reported earnings.     

Stock Liquidity Risk and the Cross‐sectional Earnings‐Returns Relationship

We argue that a higher sensitivity to aggregate market‐wide liquidity shocks (i.e., a higher liquidity risk) implies a tendency for a stock's price to converge to fundamentals. We test this intuition within the framework of the earnings‐returns relationship. We find a positive liquidity risk effect on the relationship between return and expected change in earnings. This effect on the earnings‐returns relationship is distinct from the negative effect observed for stock illiquidity level. Notably, the liquidity risk effect is evident (absent) during periods of neutral/low (high) aggregate market liquidity. We also show that the liquidity risk effect is dominant in firms that: (a) are of intermediate size; (b) are of intermediate book‐to‐market; and (c) are profit making.     

Expectations‐Based Management

The authors begin by summarizing the results of their recently published study of the relation between stock returns and changes in several annual performance measures, including not only growth in earnings and EVA, but changes during the year in analysts' expectations about future earnings over three different periods: (1) the current year; (2) the following year; and (3) the three‐year period thereafter. The last of these measures—changes in analysts' expectations about three‐ to five‐year earnings—had by far the greatest explanatory “power” of any of the measures tested. Besides being consistent with the stock market's taking a long‐term, DCF approach to the valuation of companies, the authors' finding that investors seem to care most about earnings three to five years down the road has a number of important implications for financial management: First, a business unit doesn't necessarily create shareholder value if its return on capital exceeds the weighted average cost of capital—nor does an operation that fails to earn its WACC necessarily reduce value. To create value, the business's return must exceed what investors are expecting. Second, without forecasting returns on capital, management should attempt to give investors a clear sense of the firm's internal benchmarks, both for existing businesses and new investment. Third, management incentive plans should be based on stock ownership rather than stock options. Precisely because stock prices reflect expectations, the potential for prices to get ahead of realities gives options‐laden managers a strong temptation to manipulate earnings and manage for the short term.     

Too Good to be True? An Analysis of the Options Market's Reactions to Earnings Releases

Using option implied risk neutral return distributions before and after earnings announcements, we study the option market's reaction to extreme events over earnings announcements. While earnings announcements generally reduce short‐term uncertainty about the stock price, very good news does not reduce uncertainty and slightly bad news actually increases uncertainty. We also find that left tail probabilities decrease over earnings releases while right tail probabilities increase. We interpret these findings as evidence of maintained investor expectations that very good news is generally not released during earnings announcements, combined with skepticism in the form of lingering uncertainty at the release of such very good news.     

On the Determinants of Optimism in Financial Analyst Earnings Forecasts: The Effect of the Market's Ability to Adjust for the Bias

This paper examines whether the documented bias in analyst earnings forecasts is intentional by examining whether it is related to the market's ability to adjust for this bias. For intentional bias to exist it is not enough for analysts to face incentives but rather, analysts should also be willing to respond to these incentives. As the market's ability to adjust for the bias increases, its market effects decrease while analyst reputation costs increase reducing analyst willingness to bias their forecasts. The paper utilizes a firm‐specific design that allows for both the bias component of the forecast error and the market's ability to adjust for the bias to be computed at the firm level. Results suggest that even though forecast error is positive in the latter part of the period under review reflecting overall analyst pessimism, the bias embedded in the forecasts is optimistic throughout the period. More importantly, I find that analyst forecast bias is decreasing in the market's ability to adjust for it. This result provides further evidence that analysts knowingly bias their forecasts and provides support for the existence of reporting bias, in particular. Thus, the evidence provides justification for recent regulatory efforts to increase the objectivity of analyst research reports.     

Earnings Management During Antidumping Investigations in Europe: Sample‐Wide and Cross‐Sectional Evidence

This paper examines earnings management by EU firms that initiate an antidumping investigation. We first document economically and statistically significant income‐decreasing earnings management around the initiation of an antidumping investigation. We show that earnings management increases when accounting data directly affect the magnitude of the tariffs imposed in the trade investigation. We also find that earnings management decreases as the number of petitioning firms increases or as the distance between petitioning firms increases, suggesting free‐rider and coordination problems. We find that earnings management increases when the petition is directed at a country that imports more goods from the petitioning firm's home country, suggesting that retaliation threats affect incentives. We document that raising equity or debt financing moderates income‐decreasing earnings management, consistent with the idea that sample firms trade off capital market and regulatory considerations. Our results indicate that contemporary research methods can detect accruals‐based earnings management in settings in which the incentives for earnings management can be clearly identified.     

Conditional Persistence of Earnings Components and Accounting Anomalies

We suggest that the failure of investors to distinguish between an earnings component's autocorrelation coefficient (unconditional persistence) and the marginal contribution of that component's persistence to the persistence of earnings (conditional persistence) provides a partial explanation of post‐earnings‐announcement drift, post‐revenue‐announcement drift, and the accrual anomaly. When the conditional persistence of revenue surprises is high (low) relative to its unconditional persistence, both the post‐earnings‐announcement drift and the post‐revenue‐announcement drift are high (low), because investors’ under‐reaction to revenues and earnings is stronger when the persistence of revenue surprises is more strongly associated with the persistence of earnings surprises. Also, the mispricing of accruals decreases substantially when the conditional persistence of accruals is high relative to its unconditional persistence, because investors’ over‐reaction to accruals is mitigated when the persistence of accruals is indeed more strongly associated with the persistence of earnings. Our findings also suggest that financial analysts’ failure to distinguish between unconditional and conditional persistence of revenues and accruals results in more biased revenue and earnings predictions.     

The Value Relevance of Mandatory Non‐GAAP Earnings

This paper examines the value relevance of earnings components where there is a mandatory requirement to report generally accepted accounting principles (GAAP) earnings and non‐GAAP earnings, and where the items to be eliminated from GAAP earnings are defined in detail. The setting is different from non‐GAAP earnings disclosures presented in the United States and elsewhere, where managers have discretion over whether to report a non‐GAAP earnings number, and what to exclude from GAAP earnings. Our mandatory setting enables us to report value relevance results that are not confounded by managers' discretionary choices regarding non‐GAAP earnings exclusions. We use price‐level regressions, based on the Ohlson (1995) model, to test for incremental and relative value relevance. The results show that non‐GAAP earnings reported under a mandatory regime have higher value relevance than GAAP earnings. The disaggregation of these items is useful to investors in a setting where managerial motivations are minimized.     

Post earnings announcement drift and the roles of drift-enhanced factors in New Zealand

This study examines the profitability of trading on analyst forecast-based earnings surprises during the post announcement period in the New Zealand stock market over the period 1994 to 2008. The results show that a post earnings announcement drift (PEAD) anomaly exists in the New Zealand equity market. A hedge strategy of going long the top quintile of earnings surprise stocks and short the bottom quintile of earnings surprise stocks can generate more than 6% excess return in the 60 days following the earnings announcement. I further test the association between PEAD and several control variables and find that PEAD is increasing in 1) earnings surprise defined relative to past earnings, and 2) the level of arbitrage risk. Interestingly, I do not find evidence of a positive relation between PEAD and revenue surprise after controlling for earnings surprise as documented in the United States (Jegadeesh and Livnat, 2006). There is also no evidence that the 2002 Disclosure Reform in the New Zealand Stock Exchange reduced the magnitude of PEAD.     

Impact of Segment‐level Natural Resource Operational Risk Reporting on Earnings Predictions

Non‐financial reports alert investors to operational risks associated with issues such as insufficient access to natural resource inputs and related costly interruptions to production, while segment‐level reports alert investors to operational risk distribution across a firm. An important issue, to date unexplored, is how segment‐level non‐financial reporting has an impact on earnings predictions. We report the results of an experiment used to examine how mining company segment‐level water reports affect investors' earnings predictions, where water reports indicate whether the firm and its segments will have access to sufficient water to meet production needs. We find that investors do not change their earnings predictions when firm and segment‐level reports indicate low water risk but they do revise down their earnings predictions when firm and segment‐level water reports indicate high water risk. This is consistent with investors responding to the additional information provided in segment‐level reports confirming that water risk is high across the firm. Regardless of whether firm‐level water reports indicate high or low water risk, when segment‐level reports indicate that one segment is low water risk and another is high water risk, investors revise down their earnings predictions. This is consistent with investors recognizing that natural resource operational risk concentration in one segment can affect earnings more than evenly‐distributed risk. Overall, our findings suggest that belief‐adjustment theory explains how investors react to prospective operational risk information contained in segment‐level water reports according to the similarity of the segment‐level risks, and that this information is factored into earnings predictions.     

Does voluntary balance sheet disclosure mitigate post-earnings-announcement drift?

Theory suggests that balance sheet information such as total assets, total equity, or total liabilities complements earnings information in helping investors assess a firm’s profitability and estimate earnings growth. The voluntary disclosure of balance sheet information at earnings announcement could help investors gather and process this information at a lower cost. We therefore predict that voluntary balance sheet disclosure at the time of an earnings announcement helps investors promptly understand the implication of current earnings news for future earnings and subsequently reduces post-earnings-announcement drift (PEAD). Consistent with these predictions, our results show that when firms provide voluntary balance sheet disclosures, the earnings response coefficient in the event window is significantly higher and the corresponding PEAD is significantly lower. We further find that the impact of voluntary balance sheet disclosure on PEAD is more pronounced when the magnitude of balance sheet value surprise is larger, when balance sheet value is more informative about future earnings, when earnings uncertainty is higher, or when information cost is higher, consistent with our conjectures that helping investors to better understand future earnings performance and lowering information costs are key mechanisms underlying the effect of voluntary balance sheet disclosure on PEAD.     

Estimating the Cost of Capital Using Stock Prices and Near‐term Earnings Forecasts

Earnings‐based valuation models, although long used by finance practitioners, have become increasingly popular among finance academics as well. Among the most important reasons for academics' increased acceptance of earnings‐based valuation is the well‐documented claim that earnings over a short (three‐ to four‐year) forecast horizon tend to capture a large fraction—as much as 80%—of today's value, much more than is captured by near‐term forecasts of free cash flow, the measure long advocated by finance theorists as the basis for DCF valuation. But most important for the purposes of this article, the recognition that such a large percentage of the current values of many public companies is captured within a short forecast horizon has led to a large academic literature that uses earnings‐based valuation models together with current stock prices to “back out” estimates of the companies' implied expected rates of return and costs of equity capital. The effectiveness and precision of such reverse engineering depend on the reliability of the forecasts both within a finite forecast horizon and beyond. And although the models tested in academic work, which are based on large samples of forecasts and hard‐to‐verify assumptions about earnings beyond the forecast horizon, often do not appear to provide useful estimates, the author argues that such reverse engineering of the valuation models should become straightforward and workable once reliable forecasts of earnings are obtained—say, from the corporate (or investment) analysts who are familiar with the operations of the companies they work for (or cover).     

Earnings Volatility,Post–Earnings Announcement Drift,and Trading Frictions

We find that lower ex ante earnings volatility leads to higher Post–Earnings Announcement Drift (PEAD). PEAD is a function of both the magnitude of an earnings surprise and its persistence. While prior research has largely investigated market reactions to the magnitude of the earnings surprise, in this study we show that the persistence of the earnings surprise is equally important. A unique feature of the anomalous PEAD returns documented here concerns the association between abnormal returns and trading frictions. Besides demonstrating that firms with lower earnings volatility have higher abnormal returns, we also find that lower earnings volatility firms have lower trading frictions. Taken together, these findings imply that higher abnormal returns are associated with lower trading frictions. We exploit this implication to empirically demonstrate that PEAD returns due to earnings volatility are not concentrated in the firms with the largest trading frictions, which is in contrast to the findings in prior anomaly studies.     

Investment Dynamics and Earnings‐Return Properties: A Structural Approach

We propose the standard neoclassical model of investment under uncertainty with short‐run adjustment frictions as a benchmark for earnings‐return patterns absent accounting influences. We show that our proposed benchmark generates a wide range of earnings‐return patterns documented in accounting research. Notably, our model generates a concave earnings‐return relation, similar to that of Basu [1997], and predicts that the earnings‐return concavity increases with the volatility of firms’ underlying shock processes and decreases with the level of firms’ investments. We find strong empirical support for these predictions. Overall, our evidence suggests that our proposed benchmark is useful for understanding the joint dynamics of variables of interest to accounting research (e.g., earnings, returns, investment, market‐to‐book) absent accounting influences, a necessary precondition for inferring the effects of accounting from these dynamics.     

Managerial incentives for attracting attention

This paper studies the mechanisms which motivate managers to engage in cheap talk and attract the market's attention in a credible way. We consider stock split announcements, voluntary earnings forecasts, and press releases issued by firms to the media as proxies for managerial cheap talk. We show that: (a) managerial performance‐related pay contracts incentivize executives to attract attention; (b) analysts increase their coverage of firms following cheap talk; and (c) chief executive officers are punished for attracting attention when market prices do not increase following cheap talk. The results are stronger for firms which are most in need of attention.