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.     

Book-to-Market Components, Future Security Returns, and Errors in Expected Future Earnings

This study investigates whether the ability of book-to-market to predict returns derives from systematic errors in the market's expectation of future earnings. We extend Beaver and Ryan (1996, 2000) by decomposing book-to-market into a more persistent (bias) component and a delayed recognition (lag) component. We find that both components are related to analyst expectations of future earnings, but the lag component is the dominant factor across all forecast horizons. Similarly, we find that the lag component explains most of the inverse relation between book-to-market and future returns. Given that lag is constructed by regressing book-to-market ratios on lagged price changes, our results are consistent with the lag component capturing systematic stock price reversals. We find that the components have unique relations with subsequent earnings forecast revisions, and controlling for these relations substantially mitigates the components' ability to predict returns. Our component-level analysis provides insight into how expected future earnings, summarized in book-to-market ratios help to explain this market anomaly.     

剩余收益模型与股票未来回报

本文采用Hou et al.(2012)公司基本面盈余预测模型并结合剩余收益模型对上市公司的内在价值进行估计,并分析内在价值与市价比率(V/P)与股票未来回报之间的关系。我们发现基于V/P分组的投资组合,在未来一至三年规模调整的持有超额回报套利分别达到15.2%、37.9%和55.9%;在控制了市账比等因素以后,V/P对股票未来回报仍然具有显著的预测作用。本文的研究克服了以往文献中运用证券分析师盈余预测进行剩余收益模型估值的内在局限,并提供了我国资本市场背景下切实可行的基于剩余收益模型估值的投资组合策略。     

Informed trading around earnings and mutual fund alphas

We examine whether informed trading around earnings announcements drives mutual fund performance. The measure is motivated by prior studies arguing that a mutual fund is skilled if it buys stocks with subsequent high earnings announcement returns. We find that this measure predicts future mutual fund returns. On average, after adjusting for Carhart’s four risk factors, the top decile of mutual funds outperforms the bottom decile by 44 basis points per quarter. By decomposing fund alphas into two components in their relations to earnings, we find that this measure is only associated with earnings-related fund alphas. This measure can also be used to predict stock returns at future earnings announcements.     

An Ex Post Assessment of Investor Response to Catastrophes

A large body of research has examined abnormal stock returns for insurance companies in the wake of major catastrophes. Most of these studies have investigated the ex ante factors that investors may consider when generating expectations of future profits, represented by postcatastrophe stock returns. We instead ask whether these expectations were ultimately correct by investigating the relationship between returns and the disaster’s effect on future earnings. We find that returns immediately following a disaster are not associated with future earnings. Approximately six days following a catastrophe, however, returns begin to show a significant positive relationship with future earnings. This relationship becomes stronger in subsequent days. We conclude that investors are unable to correctly predict a disaster’s net impact on profits immediately after a disaster because existing public information is insufficient or misunderstood. Only once insurers begin disclosing their estimated losses can investors make accurate predictions about a disaster’s effect on earnings. Our study shows that the investor expectations inferred in much of the existing literature are not predictive of future profits. Our findings are consistent with semistrong-form market efficiency in the wake of a major disaster.     

Is PIN priced risk?

Several recent papers assume that private information (PIN), proposed by Easley et al. [2002. Is information risk a determinant of asset returns? Journal of Finance 57, 2185–2221; 2004. Factoring information into returns. Working Paper, Cornell University], is a determinant of stock returns. We replicate Easley et al. (2002) and show that while PIN does predict future returns in the sample they analyze, the effect is not robust to alternative specifications and time periods. There is no evidence that PIN factor loadings predict returns or that PIN factor returns reflect future GDP growth. PIN exhibits no association with implied cost of capital derived from analysts’ earnings forecasts. Overall, our findings cast doubt on whether PIN reflects information risk systematically priced by investors.     

Bringing the Future Forward: The Effect of Disclosure on the Returns-Earnings Relation

This paper studies how firm disclosure activity affects the relation between current annual stock returns, contemporaneous annual earnings and future earnings. Our results show that firms with relatively more informative disclosures "bring the future forward" so that current returns reflect more future earnings news. We also find that changes in disclosure activity are positively related to changes in the importance of future earnings news for current returns. These results suggest that a firm's disclosure activity reveals credible, relevant information not in current earnings, and that this information is incorporated into the current stock price.     

Speculative bubbles and the cross-sectional variation in stock returns

Evidence suggests that rational, periodically collapsing speculative bubbles may be pervasive in stock markets globally, but there is no research that considers them at the individual stock level. In this study we develop and test an empirical asset pricing model that allows for speculative bubbles to affect stock returns. We show that stocks incorporating larger bubbles yield higher returns. The bubble deviation, at the stock level as opposed to the industry or market level, is a priced source of risk that is separate from the standard market risk, size and value factors. We demonstrate that much of the common variation in stock returns that can be attributable to market risk is due to the co-movement of bubbles rather than being driven by fundamentals.     

Corporate Disclosure Policy and the Informativeness of Stock Prices

We examine the association between voluntary corporate disclosure and the informativeness of stock prices. We measure corporate disclosure using the AIMR-FAF annual corporate disclosure ratings. We define price informativeness by the association between current stock returns and future earnings changes: more informative stock price changes contain more information about future earnings changes. To measure this association, we regress current returns against (current and) future earnings changes. The aggregated coefficient on the future earnings changes, which we refer to as the future ERC, is our measure of informativeness (association).We hypothesize and find that greater disclosure is associated with stock prices that are more informative about future earnings (i.e., higher future ERC). These results provide empirical support for the widely held, but heretofore empirically undocumented, belief that greater disclosure provides information benefits to investors.     

Loss firms’ annual report narratives and share price anticipation of earnings

We extend prior research into the association between disclosure quality and share price anticipation of earnings by discriminating between firms that report profits and firms that report losses. As a measure of disclosure quality we count the number of forward-looking earnings statements in annual report narratives. To measure the extent to which current share price movements anticipate future earnings changes we regress current stock returns on current and future earnings changes. The coefficients on the future earnings change variables are our measure of share price anticipation of earnings.Our regression results show that the association between annual report narratives and share price anticipation of earnings is not the same for profit and loss firms. For loss firms we find that the ability of stock returns to anticipate next period's earnings change is significantly greater when the firm provides a large number of earnings predictions in annual report narratives. We make no such observation for profit firms. In addition, once we control for variations in the intrinsic lead–lag relation between returns and earnings across industries, the observed difference between profit and loss firms becomes statistically significant. Overall, our results are consistent with annual report narratives being a particularly important source of information for loss-making firms.     

Can financial statement analysis beat consensus analysts’ recommendations?

We examine whether investors can exploit financial statement information to identify companies with a greater likelihood of future earnings increases and whether stocks of those companies generate 1-year abnormal returns that exceed the abnormal returns from following analysts’ consensus recommendations. Our approach summarizes financial statement information into a “predicted earnings increase score,” which captures the likelihood of 1-year-ahead earnings increases. We find that, within our sample of consensus recommendations, stocks with high scores are much more likely to experience future earnings increases than stocks with low scores. A hedge portfolio strategy that utilizes our approach within each consensus recommendation level generates average annual abnormal returns of 10.9 percent over our 12-year sample period, after controlling for previously identified risk factors. These abnormal returns exceed those available from following analysts’ consensus recommendations. Our results show that share prices and consensus recommendations fail to impound financial statement information that helps predict future earnings changes.     

Inflation,earnings forecasts,and post-earnings announcement drift

We examine whether financial analysts fully incorporate expected inflation in their earnings forecasts for individual stocks. We find that expected inflation proxies, such as lagged inflation and inflation forecasts from the Michigan Survey of Consumers, predict the future earnings change of a portfolio long in high inflation exposure firms and short in low or negative inflation exposure firms, but analysts do not fully adjust for this relation. Analysts’ earnings forecast errors can be predicted using expected inflation proxies, and these systematic forecast errors are related to future stock returns. Overall, our evidence is consistent with the Chordia and Shivakumar (J Account Res 43(4):521–556, 2005) hypothesis that the post-earnings announcement drift is related to investor underestimation of the impact of expected inflation on future earnings change.     

基于内在泡沫模型的中国股市泡沫研究

基于2005年到2010年上证红利指数和编制上证红利指数的50只成分股分红数据,使用内在泡沫模型以及ADF单位根检验对中国股票市场是否存在内在泡沫以及泡沫中是否含有非理性成分进行研究,结果发现,在2005年到2010年这6年的时间里,中国股市存在两个显著的泡沫期,分别是2006年7月到2008年2月和2009年2月到2009年12月,而且泡沫具有内在性的特征以及非理性的成分。     

Accruals, Cash Flows and the Post‐Earnings‐Announcement Drift

Abstract:   Several prior studies have shown that cash flows have significantly greater impact on stock prices than accruals. We examine the implications of these findings for the post‐earnings‐announcement‐drift anomaly. We argue that, if investors under‐react to earnings news, then the larger price impact of cash flows causes the cash flow component of earnings news to predict future returns better than the accruals component. Consistent with this argument, we show that unexpected cash flows are more positively related to future returns, than are unexpected accruals. Also, unexpected cash flows are found to predict future returns above and beyond that predicted by earnings surprises. Finally, we show that a strategy that decomposes earnings news into its components significantly outperforms strategies based on earnings news alone. The results support under‐reaction explanations for the drift.     

Predicting Stock Returns Using Financial Statement Information

We examine the profitability of the Ou and Penman (1989a) Pr trading strategy and the Holthausen and Larcker (1992) Prob trading strategy over the period 1980–1992 in the UK. This is a test of whether an investor can earn abnormal returns by exploiting fundamental accounting data. We employ alternative abnormal return metrics and research designs to control for risk. Using a UK dataset offers an independent test because the UK differs from the US in its formal and informal financial reporting environment, its structure of share ownership, and the behaviour of its economy over the study period. We find consistent evidence that an investor could have used a summary measure of financial statement information to predict future abnormal returns by indirectly predicting one-year-ahead earnings changes, but only weak and inconsistent evidence that an investor could have used a summary measure of financial statement information to predict one-year-ahead stock returns directly. We offer some thoughts on the reasons for these different results.     

Tax Expense Momentum

We investigate the joint hypothesis that (1) tax expense contains information about core profitability that is incremental to reported earnings and (2) that information is reflected in stock prices with a delay. We find that seasonally differenced quarterly tax expense, our proxy for tax expense surprise, is related positively to future returns. This anomaly is separate from previously documented pricing anomalies based on financial and tax variables. Additional investigation reveals that tax expense surprise is related positively to changes in future quarterly earnings and tax expense, and both those future changes are related positively to future returns. While the returns to investing in predictable future earnings changes has been documented before, these results suggest that predicting changes in future tax expense also generates incremental future returns.     

Bank Earnings Management and Tail Risk during the Financial Crisis

We show that a pattern of earnings management in bank financial statements has little bearing on downside risk during quiet periods, but seems to have a big impact during a financial crisis. Banks demonstrating more aggressive earnings management prior to 2007 exhibit substantially higher stock market risk once the financial crisis begins as measured by the incidence of large weekly stock price “crashes” as well as by the pattern of full‐year returns. Stock price crashes also predict future deterioration in operating performance. Bank regulators may therefore interpret them as early warning signs of impending problems.     

Do Decomposed Financial Ratios Predict Stock Returns and Fundamentals Better?

We investigate the prediction of excess returns and fundamentals by financial ratios, which include dividend‐price ratios, earnings‐price ratios, and book‐to‐market ratios, by decomposing financial ratios into a cyclical component and a stochastic trend component. We find both components predict excess returns and fundamentals. Cyclical components predict increases in future stock returns, while stochastic trend components predict declines in future stock returns in long horizons. This helps explain previous findings that financial ratios in the absence of decomposition find weak predictive power in short horizons and some predictive power in long horizons. We also find both components predict fundamentals.     

What Is an Asset Price Bubble? An Operational Definition

This paper reviews and analyses the current definitions of bubbles in asset prices. It makes the case that one cannot identify a bubble immediately, but one has to wait a sufficient amount of time to determine whether the previous prices can be justified by subsequent cash flows. The paper proposes an operational definition of a bubble as any time the realised asset return over given future period is more than two standard deviations from its expected return. Using this framework, the paper shows how the great crash of 1929 and 1987—both periods generally characterised as bubbles—prove not to be bubbles but the low point in stock prices in 1932 is a 'negative bubble.' The paper then extends this analysis to the internet stocks and concludes that it is virtually certain that it is a bubble.     

Information content of credit ratings in pricing of future earnings

This paper examines whether credit ratings convey information about the firm’s future earnings to the capital markets. Using the future earnings response coefficient methodology, we find that the current stock returns of rated firms reflect more future earnings than do the stock returns of non-rated firms. We also find that the market reflect more future earnings in current returns for higher-rated firms. In addition, we present evidence that returns impound future earnings to a greater extent after a ratings initiation or upgrade. We empirically eliminate the possibility that our findings are driven by earnings smoothing, market liquidity or omitted default risk factors associated with ratings. Our results are robust to controlling for potential omitted variables, endogeneity bias, loss versus profit firms, and serial correlation of error terms. Overall, the evidence suggests that credit ratings help disseminate private information to reduce information uncertainty about the firm’s future profitability among market participants.