Earnings seasonality,management earnings forecasts and stock returns

We examine whether management earnings forecasts (MEFs) help reduce the stock return seasonality associated with earnings seasonality around earnings announcements (EAs) in Chinese A-share markets. We find that firms in historically low earnings seasons outperform firms in high earnings seasons by 2.1% around MEFs. Firms in low earnings seasons also have higher trading volume and return volatility than their counterparts around EAs and MEFs. MEFs significantly reduce the ability of historical seasonal earnings rankings to negatively predict announcement returns, volume and volatility around EAs. The reduction effects are stronger when MEFs are voluntary or made closer to EAs. The evidence suggests that MEFs facilitate the correction of investors’ tendency to extrapolate earnings seasonality and its resulted stock mispricing.     

The role of current and non-current accruals in the relation between stock returns and earnings

This study examines the role of accruals in the relation between stock returns and earnings for intervals of one to four years. We argue that the roles of current and non-current accruals differ because the former turn over more frequently while the latter include long term timing differences and permanent differences. Accordingly, the roles of both categories of accruals are examined over intervals within and beyond the cycle of current accruals. The results suggest that accruals strengthen the association between stock returns and earnings and that they are more important for shorter intervals. Further, non-current accruals play a dominant role in the relation between stock returns and earnings while the effect of current accruals is negligible for all intervals examined.     

Earnings acceleration and stock returns

We document that earnings acceleration, defined as the quarter-over-quarter change in earnings growth, has significant explanatory power for future excess returns. These excess returns are robust to a wide range of previously documented anomalies and a battery of risk controls. The future return predictability appears to be consistent with investors assuming a seasonal random walk model for quarterly earnings and missing predictable implications of earnings acceleration for future earnings growth. Finally, the excess returns from the basic earnings acceleration strategy can be enhanced further by focusing on profit firms, low earnings volatility firms and on specific patterns of earnings acceleration.     

Earnings dispersion and aggregate stock returns

This paper studies the relation between aggregate stock returns and contemporaneous and future cross-sectional earnings dispersion. We hypothesize that increases in expected earnings dispersion signal increases in uncertainty and increases in unemployment, thereby causing expected returns to rise, which in turn causes prices to decline. We find a positive relation between aggregate stock returns and contemporaneous earnings dispersion because higher earnings dispersion is associated with higher expected returns. Consequently, we also find a negative relation between aggregate stock returns and future (one-year ahead) earnings dispersion, as investors anticipate higher future earnings dispersion and higher expected returns.     

Earnings management and earnings quality

Viewing the detection of earnings management from the perspective of a crime scene investigator sheds new light on prior research on earnings management and its close relative, earnings quality. The works of Ball and Shivakumar [2008. Earnings quality at initial public offerings. Journal of Accounting and Economics, in press.] and Teoh et al. [1998. Earnings management and the subsequent market performance of initial public offerings. Journal of Finance 53, 1935–1974.] are used to illustrate the application of seven components of a crime scene investigation to earnings management research.     

Oil prices,earnings, and stock returns

Review of Accounting Studies - Research has failed to document a consistent association between oil prices and stock prices. We propose and examine whether that failure is due to the need to link...     

Using residual income to refine the relationship between earnings growth and stock returns

We use residual income (RI) to decompose earnings growth into growth in RI, growth in invested capital and other components and use this decomposition to explain stock returns. Our approach provides a significant increase in explanatory power vis-à-vis a regression of returns on levels and changes in earnings. While the market values growth in RI more than growth in invested capital, it still undervalues growth in RI and overvalues growth in invested capital. Earnings growth from growth in RI is more persistent, while earnings growth from growth in invested capital is more likely to reverse. Future returns are positively associated with growth in RI and negatively associated with growth in invested capital. A trading rule based on these findings generates significant hedge returns that persist after controlling for known risk factors. Hence, RI, a measure long recommended by accountants, allows investors to differentiate and evaluate different sources of earnings growth.     

Price and earnings momentum in Australian stock returns

There is no prior published Australian research on earnings momentum and only one prior unpublished work of limited depth and scope. We provide some of the first Australian evidence on earnings momentum and revisit price momentum with the first Australian evidence of the behaviour of returns beyond 12 months. Price momentum is found to be a feature of this market, but there is some reversal of returns during the second year after portfolio formation, suggesting trend chasing behaviour. Earnings momentum is also present, but with weak continuation into the second year. Price momentum and earnings momentum are shown to provide independent explanatory power over future returns.     

The relation between stock returns and short-term interest rates

This study examines the relation between the expected returns on common stocks and short-term interest rates. Using a two-factor model of stock returns, we show that the expected returns on common stocks are systematically related to the market risk and the interest-rate risk, which are estimated as the sensitivity of common-stock excess returns to the excess return on the equally weighted market index and to the federal fund premium, respectively. We find that the interest-rate risk for small firms is a significant source of investors' portfolio risk, but is not properly reflected in the single-factor market risk. We also find that the interest-rate risk for large firms is “negative” in the sense that the market risk estimated from the single-factor model overstates the true risk of large firms. An application of the Fama-MacBeth methodology indicates that the interest-rate risk premium as well as the market's risk premium are significant, implying that both the market risk and the interest-rate risk are priced. We show that the interest-rate risk premium explains a significant portion of the difference in expected returns between the top quintile and the bottom quintile of the NYSE and AMEX firms. We also show that the turn-of-the-year seasonal is observed for the interest-rate risk premium; however, the risk premium for the rest of the year is still significant, although small in mangitude.     

Inter-industry network structure and the cross-predictability of earnings and stock returns

We examine how the patterns of inter-industry trade flows impact the transfer of information and economic shocks. We provide evidence that the intensity of transfers depends on industries’ positions within the economy. In particular, some industries occupy central positions in the flow of trade, serving as hubs. Consistent with a diversification effect, we find that these industries’ returns depend relatively more on aggregate risks than do returns of noncentral industries. Analogously, we find that the accounting performance of central industries associates more strongly with macroeconomic measures than does the accounting performance of noncentral industries. Comparing central industries to noncentral ones, we find that the stock returns and accounting performance of central industries better predict the performance of industries linked to them. This suggests that shocks to central industries propagate more strongly than shocks to other industries. Our results highlight how industries’ positions within the economy affect the transfer of information and economic shocks.     

Earnings volatility,ambiguity, and crisis-period stock returns

Financial crises are marked by substantial increases in ambiguity where prices appear to decouple from fundamentals. Consistent with ambiguity-based asset pricing theories, we find that ambiguity concerns are more severe for firms with higher earnings volatility, causing investors to demand a higher ambiguity premium for such firms. While there is no relation between earnings volatility and stock returns under normal conditions, there is a significant negative relation between crisis-period stock returns and prior earnings volatility. The effect is stronger in firms with low institutional ownership and low analyst following, consistent with ambiguity concerns being greatest amongst firms with unsophisticated investors.     

The relation between segment disclosure and earnings quality

We investigate the relation between segment disclosure and earnings quality. Using a US sample for the period 2001–2006, we find a positive relation between earnings quality and the quantity of segment disclosures. We use lead-lag tests to examine the flow of causality, and our results show that current segment disclosure is positively related to prior levels of earnings quality, while current earnings quality scores are not related to prior levels of segment disclosure. Thus, the causality flows from earnings quality to segment disclosure. Our results hold for both business and geographic segment disclosure.     

The evolving relation between earnings,dividends, and stock repurchases

This paper examines how the relation between earnings and payout policy has evolved over the last three decades. Three principal groups of payers have emerged: firms that pay dividends and make regular repurchases, firms that make regular repurchases, and firms that make occasional repurchases. Firms that only pay dividends are largely extinct. Repurchases are increasingly used in place of dividends, even for firms that continue to pay dividends. While other factors help explain the timing of repurchases, the overall level of repurchases is fundamentally determined by earnings. The results suggest that repurchases are now the dominant form of payout.     

Limited attention and the earnings announcement returns of past stock market winners

We document that stocks with the strongest prior 12-month returns experience a significant average market-adjusted return of 1.58% during the five trading days before their earnings announcements and a significant average market-adjusted return of −1.86% in the five trading days afterward. These returns remain significant even after accounting for transactions costs. We empirically test a limited attention explanation for these anomalous returns—that stocks with sharp run-ups tend to attract individual investors’ attention and investment dollars, particularly before their earnings announcements. Our analysis suggests that the trading decisions of individual investors are at least partly responsible for the return pattern that we observe.     

An examination of the relation between asymmetric risk measures,prior returns and expected daily stock returns

We use a sample of individual firm stock returns over the 1988–2009 time period to determine whether: (1) expected daily returns are related to asymmetric risk measures, (2) expected daily returns are related to the directional change of the prior day's price, and (3) our results are robust to the addition of firm size, book-to-market equity and liquidity. We find that investors are compensated for asymmetric risk; however, the positive risk–return relation is present only for our smallest firm quintile. We find a short-term return reversal present in all subgroups, except for the largest firms in our sample. We also document that the low volatility anomaly may be related to firm size and liquidity.     

The association of aggregate and disaggregated earnings with annual stock returns

This study compares aggregate earnings and disaggregated earnings (cash from operations, current accruals and non-current accruals) in terms of their associations with stock returns. A cross-sectional approach is adopted using Australian data over a six-year period. This analysis is undertaken for two different models of the relation between earnings and returns: one model relating returns to the magnitude of earnings, and the other relating returns to the combination of levels of, and changes in, earnings. In each model, the disaggregated regression is generally a superior explanator of stock returns, implying that disaggregated earnings provides richer information about firm performance, in a purely statistical sense, than aggregate earnings. Thus, disaggregated earnings are more informative, even in the most simple of comparison modes, linear regression.     

Earnings,retained earnings,and book-to-market in the cross section of expected returns

Book value of equity consists of two economically different components: retained earnings and contributed capital. We predict that book-to-market strategies work because the retained earnings component of the book value of equity includes the accumulation and, hence, the averaging of past earnings. Retained earnings-to-market predicts the cross section of average returns in U.S. and international data and subsumes book-to-market. Contributed capital-to-market has no predictive power. We show that retained earnings-to-market, and, by extension, book-to-market, predicts returns because it is a good proxy for underlying earnings yield (Ball, 1978; Berk, 1995) and not because book value represents intrinsic value.     

On the nonlinear relation between product market competition and earnings quality

The literature documents conflicting results regarding the influence of product market competition on earnings quality. We extend this stream of literature by incorporating competition’s effect on both the opportunities and the incentives to manage earnings. The combination of both effects results in a nonlinear relation between product market competition and earnings quality. At low competition levels, additional information associated with one more rival helps reveal earnings irregularity and deter earnings management to a larger extent than its effect on the incentives to manage earnings, suggesting a positive relation between competition and earnings quality. At high competition levels, the latter effect dominates the former. We thus predict a positive (negative) relation between competition and earnings quality at low (high) competition levels. Consistent with our hypothesis, we document an inverted U-shaped relation between earnings quality and product market competition.     

Earnings expectations,investor trade size,and anomalous returns around earnings announcements

We provide evidence that identifiable subsets of investors use significantly different information sets. Investors initiating large trades respond to analysts’ earnings forecast errors, while investors initiating small trades respond to a less-sophisticated signal that underestimates the implications of current earnings innovations for future earnings levels. This suggests small investors exhibit the behavior that Bernard and Thomas [Journal of Accounting and Economics 13, 305–340] theorize causes post-earnings announcement drift. We also use analysts’ forecasts to significantly improve the predictability of returns around earnings announcements previously documented by Bernard and Thomas. Finally, results attempting to link return predictability to the prevalence of small-investor trading are mixed.     

Cashflow risk,systematic earnings revisions,and the cross-section of stock returns

The returns of stocks are partially driven by changes in their expected cashflow. Using revisions in analyst earnings forecasts, we construct an analyst earnings beta that measures the covariance between the cashflow innovations of an asset and those of the market. A higher analyst earnings beta implies greater sensitivity to marketwide revisions in expected cashflow, and therefore higher systematic risk. Our analyst earnings beta captures exposure to macroeconomic fluctuations and has a positive risk premium that provides a partial explanation for the value premium, size premium, and long-term return reversals. From 1984 to 2005, 55.1% of the return variation across book-to-market, size, and long-term return reversal portfolios is captured by their analyst earnings betas.