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...     

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There is no prior published Australian research on earnings momentum and only one prior unpublished work of limited depth and scope.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.     

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.     

Earnings quality and the heterogeneous relation between earnings and stock returns

We adopt a heterogeneous regime switching method to examine the informativeness of accounting earnings for stock returns. We identify two distinct time-series regimes in terms of the relation between earnings and returns. In the low volatility regime (typical of bull markets), earnings are moderately informative for stock returns. But in high volatility market conditions (typical of financial crisis), earnings are strongly related to returns. Our evidence suggests that earnings are more informative to investors when uncertainty and risk is high which is consistent with the idea that during market downturns investors rely more on fundamental information about the firm. Next, we identify groups of firms that follow similar regime dynamics. We find that the importance of accounting earnings for returns in each of the market regimes varies across firms: certain firms spend more time in a regime where their earnings are highly relevant to returns, and other firms spend more time in a regime where earnings are moderately relevant to returns. We also show that firms with poorer accrual quality have a greater probability of belonging to the high volatility regime.     

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.     

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.     

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.     

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.     

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.     

The distribution of earnings news over time and seasonalities in aggregate stock returns

Over the past 55 years returns on stock market indexes have on average been higher during the first half-month of calendar quarters 2 through 4 than at other times. Coincidentally, aggregate corporate earnings news arriving at the market during these half-month periods tends to be good, whereas earnings reports arriving later are more likely to convey bad news. In addition firms tend to publish bad-news earnings reports on Mondays, coincident with negative Monday effects in stock returns. The coincidence of earnings news arrival and market seasonalities leads to conjectures about informational reasons for observed seasonalities.     

Understanding analysts' use of stock returns and other analysts' revisions when forecasting earnings

We investigate analysts' use of stock returns and other analysts' forecast revisions in revising their own forecasts after an earnings announcement. We find that analysts respond more strongly to these signals when the signals are more informative about future earnings changes. Although analysts underreact to these signals on average, we find that analysts who are most sensitive to signal informativeness achieve superior forecast accuracy relative to their peers and have a greater influence on the market. The results suggest that the ability to extract information from the actions of others serves as one source of analyst expertise.     

Caught on tape: Institutional trading,stock returns,and earnings announcements

Many questions about institutional trading can only be answered if one tracks high-frequency changes in institutional ownership. In the United States, however, institutions are only required to report their ownership quarterly in 13-F filings. We infer daily institutional trading behavior from the “tape”, the Transactions and Quotes database of the New York Stock Exchange, using a sophisticated method that best predicts quarterly 13-F data from trades of different sizes. We find that daily institutional trades are highly persistent and respond positively to recent daily returns but negatively to longer-term past daily returns. Institutional trades, particularly sells, appear to generate short-term losses—possibly reflecting institutional demand for liquidity—but longer-term profits. One source of these profits is that institutions anticipate both earnings surprises and post-earnings announcement drift. These results are different from those obtained using a standard size cutoff rule for institutional trades.     

Aggregate earnings and stock market returns: The good,the bad,and the state-dependent

Prior research documents a negative aggregate earnings-returns relation. In contrast, we posit that the sign of the relation varies, depending upon the macroeconomic and financial market conditions that exist in the earnings announcement quarter. We argue that the existing macroeconomic and financial market conditions influence market participants’ frame of reference, which in turn affects whether they interpret aggregate earnings surprises to be informative about the expected inflation component of the discount rate, the market risk premium component of the discount rate, or aggregate future cash flows. Consistent with this, we find that the sign of the aggregate earnings-returns relation changes numerous times across our sample period. We also find that market participants interpret aggregate earnings to be informative about changes in expected inflation (market risk premium) when the sign of the aggregate earnings-returns relation is negative (positive). Finally, we identify macroeconomic and financial market conditions under which the aggregate earnings-returns relation is more (less) likely to be negative (positive).     

The effects of legal regime on the patterns of stock returns surrounding ADR earnings announcements

This study examines the effects of legal regime on the patterns of stock returns surrounding the earnings announcements of American Depositary Receipt (ADR) programs. My results indicate that the properties of accounting earnings associated with the local legal regime of an ADR program spill over to U.S. GAAP reconciled earnings. In particular, I find that the market reacts significantly to the earnings announcements of the ADR programs from common law countries whose accounting earnings are known to be more conservative and timely, but not to those of the ADR programs from code law countries where the earnings are known to be less conservative and timely.     

Volatility spreads and earnings announcement returns

Prior research documents that volatility spreads predict stock returns. If the trading activity of informed investors is an important driver of volatility spreads, then the predictability of stock returns should be more pronounced during major information events. This paper investigates whether the predictability of equity returns by volatility spreads is stronger during earnings announcements. Volatility spreads are measured by the implied volatility differences between pairs of strike price and expiration date matched put and call options and capture price pressures in the option market. During a two-day earnings announcement window, the abnormal returns to the quintile that includes stocks with relatively expensive call options is more than 1.5% greater than the abnormal returns to the quintile that includes stocks with relatively expensive put options. This result is robust after measuring volatility spreads in alternative ways and controlling for firm characteristics and lagged equity returns. The degree of announcement return predictability is stronger when volatility spreads are measured using more liquid options, the information environment is more asymmetric, and stock liquidity is low.     

Predicting stock returns

This paper studies whether incorporating business cycle predictors benefits a real time optimizing investor who must allocate funds across 3,123 NYSE-AMEX stocks and cash. Realized returns are positive when adjusted by the Fama-French and momentum factors as well as by the size, book-to-market, and past return characteristics. The investor optimally holds small-cap, growth, and momentum stocks and loads less (more) heavily on momentum (small-cap) stocks during recessions. Returns on individual stocks are predictable out-of-sample due to alpha variation, whereas the equity premium predictability, the major focus of previous work, is questionable.     

The information content of implied skewness and kurtosis changes prior to earnings announcements for stock and option returns

We use option prices to examine whether changes in stock return skewness and kurtosis preceding earnings announcements provide information about subsequent stock and option returns. We demonstrate that changes in jump risk premiums can lead to changes in implied skewness and kurtosis and are also associated with the mean and variability of the stock price response to the earnings announcement. We find that changes in both moments have strong predictive power for future stock returns, even after controlling for implied volatility. Additionally, changes in both moments predict call returns, while put return predictability is primarily linked to changes in skewness.     

Mispricing and the cross-section of stock returns

This paper employs the Campbell-Shiller (Rev Financ Stud 1:195–228, 1988) VAR model to derive a model-based mispricing measure that captures investor overreaction to growth. Using this mispricing measure, we find that stocks with low levels of mispricing outperform otherwise similar stocks. The long–short mispricing strategy generates statistically and economically significant returns over the sample period of July 1981 to June 2006. Moreover, this mispricing strategy outperforms the contrarian strategy using various accounting-fundamental-to-price ratios. Our results cast doubt on the risk story in explaining the abnormal returns of the mispricing strategy. Rather, our evidence suggests that asset prices reflect both covariance risk and mispricing.

Revenue surprises and stock returns

This paper examines the relation between revenue surprises and contemporaneous and future stock returns. It also investigates whether analysts update their earnings forecasts in response to revenue surprises in a timely and unbiased fashion. Stock price reaction on the earnings announcement date is significantly related to contemporaneous as well as past revenue surprises. After controlling for earnings surprises, we find significant abnormal returns in the post-announcement period for stocks that have large revenue surprises. Although analysts revise their forecasts of future earnings in response to revenue surprises, they are slow to incorporate fully the information in revenue surprises.