Underreaction to Industry‐Wide Earnings and the Post‐Forecast Revision Drift

We test whether the post‐forecast revision drift is mainly attributable to investors’ underreaction to industry‐wide earnings news conveyed by analysts’ forecast revisions. We find a large drift associated with industry‐wide earnings news but no drift associated with firm‐specific earnings news. Consistent with the functional fixation hypothesis, we provide evidence that the post‐forecast revision drift is driven by investors’ underreaction to the higher persistence of industry‐wide earnings. Although prior research has focused on differential persistence of earnings components stemming from managerial reporting discretion, we provide evidence suggesting that investors do not fully understand the differential earnings persistence attributable to industry fundamentals.     

Does Greater Firm‐Specific Return Variation Mean More or Less Informed Stock Pricing?

Roll [1988] observes low R² statistics for common asset pricing models due to vigorous firm‐specific return variation not associated with public information. He concludes that this implies “either private information or else occasional frenzy unrelated to concrete information”[p. 56]. We show that firms and industries with lower market model R² statistics exhibit higher association between current returns and future earnings, indicating more information about future earnings in current stock returns. This supports Roll's first interpretation: higher firm‐specific return variation as a fraction of total variation signals more information‐laden stock prices and, therefore, more efficient stock markets.     

Does Limited Attention Constrain Investors’ Acquisition of Firm‐specific Information?

According to the framework outlined in Peng and Xiong ( 2006 ), attention‐constrained investors tend to process more market‐ and sector‐level information. We empirically test this theory. We find that firms with higher media coverage have lower contemporaneous stock return synchronicity. Such an effect is robust to analyses within size deciles, inclusion of firm fixed effects, estimation using a matched sample, and a two‐stage least squares approach. The effect becomes less pronounced during the financial crisis period when both the quantity and quality of firm‐specific information decrease. Further, the attention from media coverage has a spillover effect on the firm's industry peers without media coverage. Finally, investors of firms with higher media coverage are more efficient in incorporating future firm performance into current stock prices. Collectively, our findings support the theory in Peng and Xiong ( 2006 ) that investors increase their acquisition of firm‐specific information when a firm captures their attention.     

Stock dividends in China: signalling or liquidity explanations?

We test alternative hypotheses on a sample of Chinese stock dividends. The inverse Mills ratio, a signal about future performance, is positively related to announcement returns but does not predict higher future performance. Analysts do not revise their earnings forecasts after the announcement date. Our results are more consistent with liquidity‐based theories. We find that managers choose higher stock dividend ratios if share prices deviate more from the industry‐wide average. Increases in proportional spreads, depth, and the number of trades and decreases in average trade size, and price impact suggest greater participation of liquidity and small investors following stock dividends.     

Sell‐Side Analyst Research and Stock Comovement

We document that a stock's price around a recommendation or forecast covaries with prices of other stocks the issuing analyst covers. The effect of shared analyst coverage on stock price comovement extends beyond analyst activity days. A stock's daily returns covary with the returns of other stocks with which it shares analyst coverage. These links between stock price comovement and shared analyst coverage are consistent with the coverage‐specific information we find in earnings forecasts; analysts who cover both stocks in a pair expect future earnings of the stocks to be more highly correlated than do analysts who cover only one stock from the pair. Collectively, our evidence indicates that analyst research produces coverage‐specific spillovers that raise price comovement among stocks that share analyst coverage. The strength of these spillovers is comparable to spillovers from broad industry and market information in analyst research.     

Inside the “Black Box” of Sell‐Side Financial Analysts

Our objective is to penetrate the “black box” of sell‐side financial analysts by providing new insights into the inputs analysts use and the incentives they face. We survey 365 analysts and conduct 18 follow‐up interviews covering a wide range of topics, including the inputs to analysts’ earnings forecasts and stock recommendations, the value of their industry knowledge, the determinants of their compensation, the career benefits of Institutional Investor All‐Star status, and the factors they consider indicative of high‐quality earnings. One important finding is that private communication with management is a more useful input to analysts’ earnings forecasts and stock recommendations than their own primary research, recent earnings performance, and recent 10‐K and 10‐Q reports. Another notable finding is that issuing earnings forecasts and stock recommendations that are well below the consensus often leads to an increase in analysts’ credibility with their investing clients. We conduct cross‐sectional analyses that highlight the impact of analyst and brokerage characteristics on analysts’ inputs and incentives. Our findings are relevant to investors, managers, analysts, and academic researchers.     

Long‐Term Evidence on the Effect of Aggregate Earnings on Prices

We examine the time‐series properties and determinants of the relation between aggregate earnings information and stock prices (aggregate earnings response coefficient or AERC) employing return decompositions with data since 1871. We confirm that AERC is negative even though firms respond positively to individual firm earnings information, but we also find that AERC is time varying. Furthermore, we show that AERC components based on expected earnings, cash flows, and discount rates are also time varying and differ in relative importance.     

On the relationship between concentration of prospect theory/mental accounting investors,cointegration, and momentum

We examine the role of cointegration between stock prices and their estimated fundamental values in return momentum. We find that the positive relationship between capital gains overhang and future stock returns in Grinblatt and Han (2005) is significantly stronger among the “non-cointegrated” group of stocks as compared with the “cointegrated” group of stocks. Further, for the cointegrated stocks, the slower the speed of adjustment to the cointegrating equilibrium, the greater (smaller) is the future return of stocks with unrealized capital gains (losses). These findings are robust to various firm characteristics including firm size, book-to-market ratio, past returns, idiosyncratic volatility, dispersion in analysts’ earnings forecasts, turnover, individual investor ownership, and industry returns.     

Managerial Empire Building and Firm Disclosure

This study tests the agency cost hypothesis in the context of geographic earnings disclosures. The agency cost hypothesis predicts that managers, when not monitored by shareholders, make self‐maximizing decisions that may not necessarily be in the best interest of shareholders. These decisions include aggressively growing the firm, which reduces profitability and destroys firm value. Geographic earnings disclosures provide an interesting context to examine this issue. Beginning with Statement of Financial Accounting Standards No. 131 (SFAS 131), most U.S. multinational firms are no longer required to disclose earnings by geographic area (e.g., net income in Mexico or net income in East Asia). Such nondisclosure potentially reduces the ability of shareholders to monitor managers' decisions related to foreign operations. Using a sample of U.S. multinationals with substantial foreign operations, we find that nondisclosing firms, relative to firms that continue to disclose geographic earnings, experience greater expansion of foreign sales, produce lower foreign profit margins, and have lower firm value in the post–SFAS 131 period. Our conclusions are strengthened by the fact that these differences do not exist in the pre–SFAS 131 period and do not relate to domestic operations. We find differences in the predicted direction only for foreign operations and only after adoption of SFAS 131. Our results are robust to the inclusion of an extensive set of control variables related to alternative corporate governance mechanisms, operating performance, and the firm's information environment. Overall, the results are consistent with the agency cost hypothesis and the important role of financial disclosures in monitoring managers.     

Economic determinants of price informativeness about future earnings

This study investigates how the value-creation process affects the extent to which stock prices incorporate value-relevant information about future earnings. In contrast to previous studies focusing on the value-reporting process, this paper shows that strong product market power accelerates the incorporation of future earnings into current equity prices due to less uncertainty about future cash flows and that intensive long-term investment deters such incorporation because of greater uncertainty regarding future cash flows. The results suggest that firm fundamentals shaped by product market competition and long-term investment explain the price informativeness about future earnings beyond the impact of management’s reporting discretion.     

Predictability and the earnings–returns relation

This paper studies the effects of predictability on the earnings–returns relation for individual firms and for the aggregate. We demonstrate that prices better anticipate earnings growth at the aggregate level than at the firm level, which implies that random-walk models are inappropriate for gauging aggregate earnings expectations. Moreover, we show that the contemporaneous correlation of earnings growth and stock returns decreases with the ability to predict future earnings. Our results may therefore help explain the apparently conflicting recent evidence that the earnings–returns relation is negative at the aggregate level but positive at the firm level.     

The market’s use of supplier earnings information to value customers

In this paper we examine whether the quarterly earnings announcements of supplier firms contain information about their customer’s earnings. Our evidence suggests that they do. Specifically, we find evidence consistent with the market impounding supplier firm earnings information into the stock prices of the firm’s customers. This is consistent with the market using the supplier’s earnings to help assess the customer firm’s future cash flows and/or uncertainty of those cash flows. We also find that the quality of the earnings influences the magnitude of the customer firm’s stock price reaction. The customer’s stock price reaction is increasing in the revenue growth reported by the supplier and the past persistence of the supplier’s earnings. Additional tests reveal that the market reaction is amplified when the customer firm is more dependent on the supplier. Finally, we find that the relative bargaining power of the customer influences the market reaction to supplier earnings. While prior research has documented that the market uses industry peer earnings and customer earnings in pricing a firm’s stock, this is the first study to provide evidence on the market’s use of supplier earnings information.     

A new approach to predicting analyst forecast errors: Do investors overweight analyst forecasts?

I provide evidence that investors overweight analyst forecasts by demonstrating that prices do not fully reflect predictable components of analyst errors, which conflicts with conclusions in prior research. I highlight estimation bias in traditional approaches and develop a new approach that reduces this bias. I estimate characteristic forecasts that map current firm characteristics into forecasts of future earnings. Contrasting characteristic and analyst forecasts predicts analyst forecast errors and revisions. I find abnormal returns to strategies that sort firms by predicted forecast errors, consistent with investors overweighting analyst forecasts and predictable biases in analyst forecasts influencing the information content of prices.     

What drives the market value of firms in the defense industry?

This article assesses the relative importance of different types of news in driving significant stock price changes in the defense industry. We implement a systematic event study with the 58 largest publicly listed companies in the defense industry, over the time period 1995-2005. We first identify, for each firm, the statistically significant abnormal returns over the time period. Then, we look for information releases likely to cause such stock price movements. Most of the key drivers in the defense industry are the same as in other industries (key role of formal earnings announcements and analysts’ recommendations) but we also identify some specific features, in particular the influence of geopolitical events and the relevance and frequency of bids and contracts on stock prices. Finally, we examine the impact of the September 11 terrorist attacks on defense firms.     

MARKET TIMING IN REGRESSIONS AND REALITY

We compare price‐to‐earnings ratios and dividend yields, which are indirect measures of sentiment, with the bullish sentiment index, which is a direct measure. We find that the sentiment index does better as a market‐timing tool than do P/E ratios and dividend yields, but none is very reliable. We do not argue that market timing is impossible. Rather, we observe that stock prices reflect both sentiment and value, both of which are difficult to measure and neither of which is perfectly known in foresight. Successful market timing requires insights into future sentiment and value, insights beyond those that are reflected in widely available measures.     

Model-based earnings forecasts vs. financial analysts' earnings forecasts

Existing accounting-based forecasting models of earnings either do not fully consider information that is contained in stock prices or use an ad hoc specification that is not based on rigorous valuation theory. In this paper, we develop an earnings forecasting model built on the theoretical linkages between future earnings and stock prices as well as a number of accounting fundamental variables. We find that our model-based forecasts of earnings are in general less biased and more accurate than both existing model-based forecasts and analysts' consensus forecasts, at both shorter and longer horizons. We also show that the accuracy of both model-based forecasts and financial analysts' forecasts depend on firm-specific characteristics such as firm size and industry membership.     

Innovate to Survive: The Effect of Technology Competition on Corporate Bankruptcy

This paper establishes a strong relation between technology competition and corporate bankruptcy. Using detailed firm‐level patent data, we show that: 1) the capability of firms to innovate predicts future bankruptcies better than the typical measures such as Z‐score and credit rating, 2) technology‐related bankruptcies are less sensitive to the business cycle and industry success, and 3) firms that go bankrupt as a result of technology competition experience larger declines in earnings and stock prices.     

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.     

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.     

Dividend Omissions and Intraindustry Information Transfers

We examine potential information transfers from companies that announce dividend omissions to their industry rivals. Specifically, we examine the abnormal stock returns and abnormal earnings forecast revisions of rivals after a company makes a dividend‐omission announcement. Our results show negative and significant abnormal stock returns and negative and significant abnormal forecast revisions for rival companies in response to the announcement, and a significant and positive relation between the two. We conclude that a dividend‐omission announcement transmits unfavorable information across the announcing company's industry that affects cash flow expectations and ultimately stock prices.