Valuation Implications of Unconditional Accounting Conservatism: Evidence from Analysts' Target Prices

We examine whether financial analysts understand the valuation implications of unconditional accounting conservatism when forecasting target prices. While accounting conservatism affects reported earnings, conservatism per se does not have an effect on the present value of future cash flows. We examine whether analysts adjust for the effect of conservatism included in their earnings forecasts when using these forecasts to estimate target prices. We find that signed target price errors (actual minus forecast) have a significant positive association with the degree of conservatism in forward earnings, suggesting that target prices are biased due to accounting conservatism. Cross‐sectional analysis suggests that more sophisticated analysts and superior long‐term forecasters adjust for conservatism to a greater extent than other analysts. In additional analyses, we explore the mechanism through which conservatism leads to bias in target prices. We first show that analysts' earnings forecasts are negatively associated with the degree of conservatism; that is, analysts include the effect of unconditional conservatism in their earnings forecasts. Based on alternative earnings‐based valuation models that analysts may use, our evidence suggests that analysts fail to appropriately adjust their valuation multiple for the effect of conservatism included in their earnings forecasts when using these forecasts to derive target prices. As a consequence, we find that, for extreme changes in conservatism, the bias in analysts' target prices due to conservatism leads to a distortion of market prices. The evidence highlights the concern that analysts may not appreciate the valuation implications of conservative accounting which could inhibit price discovery.     

Horizon‐Induced Optimism as a Gateway to Earnings Management

Recent work in accounting suggests that managerial optimism can lead managers to escalate income‐increasing earnings management. In this paper, I examine how a fundamental attribute of the earnings management setting—the amount of time between the earnings management decision and the future reversal—serves as one potential source of managerial optimism. I conduct two experiments to test whether the amount of time between the earnings management decision and the future reversal systematically induces optimism that increases participants’ propensity to engage in behavior that is analogous to accruals‐based earnings management and to real earnings management, holding constant incentives, agency frictions, and the information environment. My results indicate that, independent of their innate optimism, the time between the earnings management decision and the future reversal likely encourages managers to overestimate their ability to compensate for current‐period earnings management through strong future performance. This optimism, in turn, likely increases managers’ propensity to engage in both forms of earnings management.     

The Link between Earnings Conservatism and the Price‐to‐Book Ratio*

We hypothesize and find that (1) earnings conservatism, the tendency of firms to recognize bad news in earnings on a more timely basis than good news, is substantially greater in portfolios of firms with lower price‐to‐book ratios than in portfolios of firms with higher price‐to‐book ratios; and (2) the negative association between earnings conservatism and the price‐to‐book ratio stems primarily from the accrual component of earnings, not the operating cash flow component of earnings. Our results suggest that studies using earnings‐returns associations to investigate cross‐sectional or time‐series differences in earnings conservatism risk drawing erroneous inferences unless the research designs control for cross‐sectional or time‐series variation in price‐to‐book ratios.     

Institutional Ownership and the Extent to which Stock Prices Reflect Future Earnings*

Articles in the financial press suggest that institutional investors are overly focused on current profitability, which suggests that as institutional ownership increases, stock prices reflect less current period information that is predictive of future period earnings. On the other hand, institutional investors are often characterized in academic research as sophisticated investors and sophisticated investors should be better able to use current‐period information to predict future earnings compared with other owners. According to this characterization, as institutional ownership increases, stock prices should reflect more current‐period information that is predictive of future period earnings. Consistent with this latter view, we find that the extent to which stock prices lead earnings is positively related to the percentage of institutional ownership. This result holds after controlling for various factors that affect the relation between price and earnings. It also holds when we control for endogenous portfolio choices of institutions (e.g., institutional investors may be attracted to firms in richer information environments where stock prices tend to lead earnings). Further, a regression of stock returns on order backlog, conditional on the percentage of institutional ownership, indicates that institutional owners place more weight on order backlog compared with other owners. This result is consistent with institutional owners using non‐earnings information to predict future earnings. It also explains, in part, why prices lead earnings to a greater extent when there is a higher concentration of institutional owners.     

The Conservatism Principle and the Asymmetric Timeliness of Earnings: An Event‐Based Approach*

We test the asymmetric timeliness hypothesis by using information in extreme events as a measure of good/bad news. Our focus on extreme events is motivated by two arguments. First, the accounting concept of materiality in conjunction with litigation risk influences managers and auditors to make more conservative choices with respect to material events. Second, focusing on extreme shocks minimizes the probability that accounting slack may obscure the effect of asymmetric timeliness (Beaver and Ryan 2005). We identify individual events using short‐window extreme returns, since long‐window returns would aggregate the effect of multiple events and thus limit our ability to detect the asymmetry. Taken together, these features of our research design provide a more powerful test of asymmetric timeliness. Consistent with prior studies, we document that the correlation between bad news and concurrent earnings is significantly higher than that between good news and concurrent earnings. Our analysis of extreme events also enables us to document higher correlation of good news with earnings two or more quarters ahead. This is in contrast to prior studies that were unable to document asymmetry in the relation between returns and subsequent earnings in the opposite direction to that between returns and concurrent earnings. Our paper contributes to the growing literature on conservatism by modifying the Basu methodology to enhance the power of the test of asymmetric timeliness.     

Accounting Discretion and Managerial Conservatism: An Intertemporal Analysis*

Accounting discretion and the principle of conservatism are two salient features embedded in financial reporting systems. Arguably, the practice of conservative accounting choices can never be well understood without incorporating their effect on future periods (the intertemporal effect). This paper provides one explanation for managerial conservatism in a two‐period agency model with hidden information (a binary project type) and hidden actions (the agent's efforts). A piece‐wise linear incentive scheme with accounting earnings as the performance measure is employed. The agent's discretion is the choice of a depreciation method. Discretion is valuable if and only if the agent's marginal productivity of a “bad” project is greater than that of a “good” project, but not to an extreme degree. A conservative depreciation method decreases current compensation in exchange for a “bet” on future compensation and, hence, serves as a commitment device for the agent to signal that the prospect is indeed good. The accounting mechanism replicates the performance of the optimal direct mechanism.     

The Declining Value‐relevance of Accounting Information and Non‐Information‐based Trading: An Empirical Analysis*

Recently, a growing body of literature has suggested that financial statements have lost their value‐relevance because of a shift from a traditional capital‐intensive economy to a high‐technology, service‐oriented economy. These conclusions are based on studies that find a temporal decline in the association between stock prices and accounting information (earnings and book values). This paper empirically tests a theoretical prediction arising from the noisy rational expectations equilibrium model that suggests that the decline could be driven by non‐information‐based (NIB) trading activity, because such trading reduces the ability of stock prices to reflect accounting information. Specifically, Dontoh, Radhakrishnan, and Ronen (2004) show that when NIB trading increases, the R²s of a regression of stock price on accounting information declines. Our empirical tests confirm this prediction; that is, the decline in the association between stock prices and accounting information as measured by R²s is driven by an increase in NIB trading.     

Pricing and Mispricing of Accounting Fundamentals in the Time‐Series and in the Cross Section

This study examines the extent to which parsimonious and general cross‐sectional valuation models, restricted to include only publicly available historical accounting information, explain share prices in the cross section, identify periods when market mispricing may be more pervasive, and also identify which shares within those cross sections are more likely to be mispriced. Our model simply includes historical book value, earnings, dividends, and growth, but it explains on average over 60 percent of the cross‐sectional variation in share prices in annual estimations across 1975–2011. We also examine the extent to which the residuals indicate mispricing. The quintile of stocks picked by our model as most likely underpriced outperform the quintile of stocks picked as most likely overpriced by an average of 9.9 percent over the following 12 months, after controlling for size. We also predict and find that value residuals are better predictors of future abnormal returns: (i) among firms that are not covered by analysts; (ii) among firms that face fewer accounting measurement challenges; and (iii) when we estimate value model parameters by industry/year. We also predict and find our approach works better in periods when the mapping of fundamentals into prices is weaker. This study contributes a novel and straightforward approach to map accounting fundamentals into share prices in order to identify mispricing in time‐series and in the cross section.     

Financial Statement Comparability and the Informativeness of Stock Prices About Future Earnings

We find that financial statement comparability enhances the ability of current period returns to reflect future earnings, as measured by the future earnings response coefficient (FERC). This suggests that comparability improves the informativeness of stock prices and allows investors to better anticipate future firm performance. In addition, using both the FERC and stock price synchronicity tests, we find that comparability increases the amount of firm‐specific information (rather than market/industry‐level information) reflected in stock prices. Analysts play an important role in improving stock price informativeness by producing more firm‐specific information when comparability is high. These findings suggest that comparability lowers the costs of gathering and processing firm‐specific information.     

The Relation between Aggregate Earnings and Security Returns over Long Intervals*

This paper provides a theoretical explanation and consistent empirical evidence for the increase in the contemporaneous correlation between returns and aggregate earnings as the return interval is lengthened. Consistent with intuition and with Easton, Harris, and Ohlson 1992, the analysis shows that aggregation over time renders the lag in accounting recognition relatively less important and thus improves the returns‐earnings R². Interestingly, the analysis also reveals that aggregating earnings over longer periods increases the positive covariance between aggregate earnings and the accounting lag, which may further increase the R². This positive covariance can lead to an earnings coefficient greater than one over some range of aggregation, which is consistent with the findings of Easton et al. that over the 10‐year interval the returns‐earnings regression slope coefficient is greater than one (1.7). The empirical results highlight the fact that the slope coefficient, which is greater than one and increasing with the interval, accounts for much of the increment to the returns‐earnings R². In fact, constraining the slope coefficient to be one results in an R² of 11 percent for the 10‐year interval, which is considerably lower than the R² of 47 percent when the regression is unconstrained. Hence, the positive covariance between current earnings and the accounting lag, rather than the diminishing effect of the accounting lag, appears to be the dominant explanation for the observed high R² over long intervals.     

Hedge Fund Intervention and Accounting Conservatism

Hedge fund intervention has been associated with many positive corporate changes and is an important vehicle for informed shareholder monitoring. Effective monitoring has also been positively associated with accounting conservatism. Building upon these prior results, we predict an increase in accounting conservatism after hedge fund intervention. We use a large sample of hedge fund activist events and identify control firms with similar likelihoods of being targeted using the propensity score matching method to apply difference‐in‐difference tests. We find that when hedge fund activists have relatively large ownership and sufficient time to exert their monitoring power, target firms experience significant increases in conditional conservatism. CFO turnovers, upward/lateral auditor switches, and improvements in audit committee independence after intervention are accompanied by greater increases in conditional conservatism. Finally, we find greater increases in conditional conservatism when there is a lack of monitoring by dedicated institutional investors before the intervention. Our study suggests that hedge fund activists improve accounting monitoring tools and thus adds important new evidence on the effectiveness of shareholder monitoring on accounting practices.     

Forecasting Risk in Earnings

Conventional measures of risk in earnings based on historical standard deviation require long time‐series data and are inadequate when the distribution of earnings deviates from normality. We introduce a methodology based on current fundamentals and quantile regression to forecast risk reflected in the shape of the distribution of future earnings. We derive measures of dispersion, asymmetry, and tail risk in future earnings using quantile forecasts as inputs. Our analysis shows that a parsimonious model based on accruals, cash flows, special items, and a loss indicator can predict the shape of the distribution of earnings with reasonable power. We provide evidence that out‐of‐sample quantile‐based risk forecasts explain incrementally analysts' equity and credit risk ratings, future return volatility, corporate bond spreads, and analyst‐based measures of future earnings uncertainty. Our study provides insights into the relations between earnings components and risk in future earnings. It also introduces risk measures that will be useful for participants in both the equity and credit markets.     

The usefulness of earnings versus book value for predicting stock returns and cross corporate ownership in Japan

Using a sample of Japanese firms, this paper evaluates the usefulness of the two fundamental products of an accrual accounting system, namely accrual earnings and book value of equity for predicting stock returns. Our analysis shows that both earnings and book value for Japanese firms have the ability to provide for profitable trading strategies or improved portfolio decisions, and that relative to the trading strategy based on earnings or book value alone, the trading strategy based on a combination of both earnings and book value generates substantially higher returns for all cases. This suggests that book value (or earnings) captures certain aspects of equity values that are not captured by earnings (book value). Our multivariate regression results further indicate that the predictive ability of earnings is dominated by that of book value. Finally, it is found that the predictive ability of book value is sensitive to the degree of cross corporate ownership, while it is insensitive to the degree of real estate holding.     

Optimal Conservatism with Earnings Manipulation

This paper examines the role of conservatism when an agent can manipulate upcoming earnings before all uncertainty is resolved. An increase in conservatism, by reducing the likelihood of favorable earnings, requires steeper performance pay to maintain the same level of incentives, which in turn increases the equilibrium earnings manipulation. Trade‐offs between inducing effort and curbing manipulation predict an interior level of conservatism as optimal. The optimal level of conservatism is positively associated with enforcement, economic profitability and earnings quality, and negatively associated with agency frictions. In particular, we show that more economically profitable firms choose to be more conservative. We also establish that the association between performance pay and manipulation identifies whether conservatism is optimally chosen or exogenously imposed. In an application to debt contracting, we show that optimal conservatism is negatively associated with borrowers’ bargaining power.     

Accounting Quality,Liquidity Risk,and Post‐Earnings‐Announcement Drift

Recent microstructure research finds that liquidity risk, in particular its information component, plays an important role in explaining the post‐earnings‐announcement drift (PEAD). We decompose liquidity risk into an accounting‐associated component and a nonaccounting‐associated component and examine their relative importance in explaining PEAD. Our research is motivated by recent findings that liquidity risk is a systematic risk and earnings quality is negatively associated with liquidity risk. We find that the accounting‐associated component is more strongly related to PEAD returns than is its nonaccounting‐associated counterpart. Further analyses reveal that the relation between accounting‐associated liquidity risk and PEAD returns is weaker for firms with greater analyst following. We also find that in a significant market downturn, the relation between accounting‐associated liquidity risk and PEAD returns becomes more pronounced. Our study is the first to document a liquidity risk‐based role of accounting quality in explaining the PEAD phenomenon. It parses out the PEAD risk premia associated with accounting versus nonaccounting sources and, by so doing, sheds light on the role of accounting quality in shaping the liquidity risk‐PEAD returns relation.     

Balance Sheet Conservatism and Debt Contracting

We study the role of borrowers’ balance sheet conservatism (i.e., conservatism in asset values) in debt contract design. We find that borrowing costs are decreasing in the degree of balance sheet conservatism, and this effect is stronger for firms with lower credit quality. This is consistent with balance sheet conservatism reducing lenders’ uncertainty about the liquidation value of assets, thus facilitating the ex ante screening of borrowers. We predict that better ex ante screening also reduces the need for ex post monitoring, and find that balance sheet conservatism is associated with less restrictive covenant terms. Further, we find that asymmetric timeliness in earnings is associated with lower borrowing costs only when balance sheet conservatism is not high. This result suggests that lenders appear to recognize the constraining effect of high balance sheet conservatism on future conservatism in earnings.     

盈余反应非对称性：会计稳健性，抑或费用粘性

文章运用2008-2011年我国A股主板上市公司数据,首次将会计稳健性和费用粘性纳入同一研究框架来探究盈余反应非对称反应的根源。实证研究结果表明,基于会计稳健性根源的盈余反应非对称性系数不显著,基于费用粘性根源的盈余反应非对称性系数显著为正。这一结果表明,我国公司盈余反应非对称性的根源主要在于费用粘性,而非会计稳健性。     

Credit Rating Agency and Equity Analysts’ Adjustments to GAAP Earnings

Moody's analysts and sell‐side equity analysts adjust GAAP earnings as part of their research. We show that adjusted earnings definitions of Moody's analysts are significantly lower than those of equity analysts when companies exhibit higher downside risk, as measured by volatility in idiosyncratic stock returns, volatility in negative market returns, poor earnings, and loss status. Relative to the adjusted earnings definitions of equity analysts, adjusted earnings definitions of Moody's analysts better predict future bankruptcies, yet they fare significantly worse in predicting future earnings and operating cash flows. These findings persist after controlling for optimism incentives of analysts, reporting incentives of companies, credit rating levels, and industry and year effects. Our findings suggest that credit rating agencies cater to their clients’ demand for a more conservative interpretation of company‐reported performance than what is offered by equity analysts.     

The Incremental Informativeness of Stock Prices for Future Accounting Earnings*

This study extends previous research that documents a stock price reaction leading accounting earnings. The primary issue is that prior studies use a naive earnings expectation model (random walk) as the benchmark for the information content of lagged returns and do not adequately address the “incremental” information content of lagged returns. This study identifies and estimates firm-specific models of earnings to control directly for the autocorrelation in earnings. The explanatory power of lagged prices with respect to this earnings residual is investigated using both a multiple regression model of lagged returns and a multiple time-series vector autoregressive model. In-sample estimation of the models provides clear evidence that stock prices impound information about future earnings incremental to the information contained in historical earnings data. Holdout period analysis of the earnings forecasts from these lagged return models finds that both models outperform the naive seasonal random walk expectation, but neither model outperforms the more sophisticated Box-Jenkins forecasts. On an individual firm basis, earnings forecasts supplemented with the lagged return data tend to be less precise than the Box-Jenkins forecasts, but the price-based models demonstrate an ability to rank the earnings forecast errors from the time-series models. The analysis helps to characterize the limitations of lagged returns as a means of predicting future earnings innovations.     

Sentiment,Loss Firms,and Investor Expectations of Future Earnings*

This study investigates the mispricing of market‐wide investor sentiment by exploring the relation between sentiment and investor expectations of future earnings. Prior research argues that sentiment‐driven mispricing should be most pronounced for hard‐to‐value firms, such as those reporting losses (Baker and Wurgler 2006). Using investor expectations of future earnings, we provide empirical results consistent with this behavioral finance theory. We predict and find that investors perceive losses to be more (less) persistent during periods of low (high) sentiment; that (in contrast) investors perceive profit persistence to be lower (higher) during periods of low (high) sentiment; and that the effects appear stronger for loss firms relative to profit firms. We also document predictable cross‐sectional variation within losses (with the mispricing mitigated for losses associated with activities expected to generate future benefits), R&D, growth, large negative special items, and severe financial distress. Overall, our results document a new and important channel—investor expectations of future earnings—to explain sentiment‐driven mispricing.