Earnings Announcements and Market Depth*

Abstract. This paper investigates how strategic trading around the time of earnings announcements affects market liquidity (e.g., bid-ask spreads). We model an investor with private information in advance of an earnings announcement (e.g., inside information). The investor trades before and after the earnings announcement in a market populated by liquidity-motivated traders who have some discretion over the timing of their trades. The main result of the analysis is that an earnings announcement that reduces an insider's private information may lead to a less liquid market in the postannouncement period.     

Earnings Announcements and Information Asymmetry: An Intra‐Day Analysis*

This paper examines the effect of earnings announcements on information asymmetry as perceived by specialists. We use changes in quoted bid‐ask spreads and depths (relative to the average value in the non‐announcement period) as proxies for changes in information asymmetry in the market. To our knowledge, we are the first to employ a model that captures the simultaneous nature of the specialists' choice of spreads and depths in reaction to earnings news. We provide evidence that spreads are wider and depths are smaller before the release of earnings announcements. We also find that changes to depths are greater for announcements of quarterly earnings than for announcements of annual earnings and changes to spreads persist longer into the post‐announcement period when announcements are made outside trading hours. These changes to spreads and depths persist when earnings announcements are made after trading hours.     

Option Trading,Price Discovery,and Earnings News Dissemination*

Abstract. Option market activity increases by more than 10 percent in the four days before quarterly earnings announcements. We show that the direction of this preannouncement trading foreshadows subsequent earnings news. Specifically, we find option traders initiate a greater proportion of long (short) positions immediately before “good” (“bad”) earnings news. Midquote returns to active-side option trades are positive during nonannouncement periods and are significantly higher immediately prior to earnings announcements. Bid-ask spreads for options widen during the announcement period, but traders do not gravitate toward high delta contracts. Collectively, the evidence shows option traders participate generally in price discovery (the incorporation of private information in price), and more specifically in the dissemination of earnings news.     

March Market Madness: The Impact of Value‐Irrelevant Events on the Market Pricing of Earnings News

Each year, the NCAA basketball tournament (March Madness) is a daytime distraction for millions of people, providing a largely exogenous shock to investor attention. We investigate whether March Madness influences the market response to earnings by diverting investor attention away from earnings news. We find that the price reaction to earnings news released during March Madness is muted. This result generally holds across several samples and additional analyses. We also find that the result is more muted for low institutional ownership firms, consistent with the effect being driven by less‐sophisticated investors. Furthermore, we find that it takes the market 30 to 60 days to correct for the distraction effect. Overall, we provide a unique test of the theory of limited attention by documenting that extraneous events can have a significant impact on the pricing of earnings.     

Abnormal Accruals and Managerial Intent: Evidence from the Timing of Merger Announcements and Completions

We examine acquiring managers' opportunistic reporting behavior around stock‐for‐stock acquisitions. Using the timing of merger announcements and completions to infer managerial intent, we show that acquirers with the most inflated earnings tend to announce mergers on Fridays, and that they manage earnings several quarters before the merger announcement date. Friday announcers exhibit a stronger negative association between pre‐merger announcement abnormal accruals and post‐merger announcement market performance than non‐Friday announcers. This effect is driven mainly by mergers that are completed relatively quickly after they are announced. Overall, the evidence supports the notion that some acquiring managers inflate earnings prior to announcing the mergers, and time the merger announcements to exploit investor inattention.     

Corporate Governance and the Information Content of Earnings Announcements: A Cross‐Country Analysis

Using firm‐level data from 23 developed markets, we document a positive association between overall firm‐level governance quality and the informativeness of earnings announcements measured by abnormal stock return variance. This finding is robust after controlling for the potential endogeneity of firm‐level corporate governance. Further analyses reveal that firms with strong governance show little evidence of earnings management, appoint Big 4 auditing firms, and attract analyst following, implying a positive link between strong corporate governance and the information quality of earnings announcements. Finally, there is some evidence that the relation between firm‐level governance and market reactions around the announcements exists only in countries characterized by a transparent information environment and strong legal investor protection.     

Trading Prior to the Disclosure of Material Information: Evidence from Regulation Fair Disclosure Form 8‐Ks*

Regulation Fair Disclosure (Reg FD) Form 8‐K filings provide a venue where managers release information to the market as a whole that they designate as being material. Using this setting, we study trading patterns immediately prior to the public disclosure of material information. We offer three main results. First, using both intraday and daily trading data, we find abnormal trading volume of 21 percent (13 percent) in the hour (day) prior to the public disclosure, respectively. Second, we find that this pre‐disclosure abnormal trading volume is concentrated in firms that are smaller, have more growth opportunities, issue fewer voluntary disclosures, and have weaker external monitoring. Finally, we find that this pre‐disclosure volume is concentrated in subsamples in which the information relates to a firm's material contracts, a firm holds investor/analyst conferences, and there is insider trading activity in a firm's shares. Our results do not concentrate in a small number of firms or industries, and do not appear to be explained by the form through which managers first release the material information (e.g., Form 8‐K, press release, website posting, or social media). Our results are also robust to controlling for the firm's other filings and peer filings that occur around the disclosure. Overall, the trading patterns we document may show that, inconsistent with the spirit of Reg FD, a subset of investors trade on information managers deem material prior to its broad, public release.     

Individual Investors' Attention to Accounting Information: Evidence from Online Financial Communities*

Online financial communities provide a unique opportunity to directly examine individual investors' attention to accounting information on a large scale and in great detail. I analyze accounting-related content in large samples of Yahoo! message board posts and StockTwits and find investors pay attention to a range of accounting information, fixating particularly on earnings, cash, and revenues. Consistent with the expectation that investors react to relevant information events, I find accounting-related discussion elevated around the filings of earnings releases and 8-K reports, but the reaction to periodic reports is confined to small firms. I also find investors expand their acquisition of accounting information and processing efforts in poor information environments. Greater attention to accounting information at earnings releases does not appear to be meaningfully associated with better information processing.     

Intra‐Industry Information Transfers and the Post‐Earnings Announcement Drift

This study examines the role of intra‐industry information transfers in the analyst forecast‐based post‐earnings announcement drift. I find that subsequent same‐industry‐peer earnings announcements influence a firm's post‐earnings announcement drift if these subsequent announcements confirm the firm's initial earnings surprise and the firm's industry exhibits ex ante positive (common effect) intra‐industry information transfers. The results suggest that underreaction to industry‐specific information contributes to analyst forecast‐based post‐earnings announcement drift.     

Horizon‐Dependent Underreaction in Financial Analysts' Earnings Forecasts*

This paper provides empirical evidence that underreaction in financial analysts' earnings forecasts increases with the forecast horizon, and offers a rational economic explanation for this result. The empirical portion of the paper evaluates analysts' responses to earnings‐surprise and other earnings‐related information. Our empirical evidence suggests that analysts' earnings forecasts underreact to both types of information, and the underreaction increases with the forecast horizon. The paper also develops a theoretical model that explains this horizon‐dependent analyst underreaction as a rational response to an asymmetric loss function. The model assumes that, for a given level of inaccuracy, analysts' reputations suffer more (less) when subsequent information causes a revision in investor expectations in the opposite (same) direction as the analyst's prior earnings‐forecast revision. Given this asymmetric loss function, underreaction increases with the risk of subsequent disconfirming information and with the disproportionate cost associated with revision reversal. Assuming that market frictions prevent prices from immediately unraveling these analyst underreac‐tion tactics, investors buying (selling) stock on the basis of analysts' positive (negative) earnings‐forecast revisions also benefit from analyst underreaction. Therefore, the asymmetric cost of forecast inaccuracy could arise from rational investor incentives consistent with a preference for analyst underreaction. Our incentives‐based explanation for underreaction provides an alternative to psychology‐based explanations and suggests avenues for further research.     

An Empirical Analysis of the Effects of Online Trading on Stock Price and Trading Volume Reactions to Earnings Announcements*

This study provides evidence regarding the effects of online trading on stock price and trading volume reactions to quarterly earnings announcements. We test for differences in stock price and volume reactions to quarterly earnings announcements between a period with a significant amount of online trading (1996‐99) and a period without online trading (1992‐95). We conjecture that online trading has increased the proportion of naive investors in the market. We predict that this will result in (1) a decrease in the average precision of investor information prior to earnings announcements leading to higher earnings response coefficients (ERCs), (2) an increase in differential interpretation of earnings leading to higher trading volume reactions that are unrelated to price change, and (3) a decrease in differential prior precision leading to a decrease in the association between trading volume and absolute price change. We find evidence consistent with all three predictions. Our findings are relevant for assessing the validity of concerns about online trading expressed by regulators and the validity of theoretical models of trade with asymmetrically informed investors.     

The reaction of Canadian securities to revisions of earnings forecasts*

Abstract. This first study of Canadian securities' earnings forecasts published by Institutional Brokers Estimate System (IBES) focuses on changes in the mean earnings per share forecasts of 159 to 188 companies from 1985 to 1987. Cumulative average residuals are used to detect the announcement effects of large earnings forecast revisions. The main results of this study are the following. First, an investor with access to changes of earnings per share forecasts at the beginning of the month of publication could realize abnormal excess returns. Second, trading strategies based on earnings forecasts revisions can also yield abnormal returns, but the magnitude of the revision, the sector of the company, and the month in which the revision is realized must be considered. Third, when financial analysts' forecasts are published, the informational content of large revisions in forecasts has already been discounted by the market. This result is similar to findings of U.S.– and U.K.–based studies. Finally, large forecasts revisions coincide with a period of abnormal returns. However, the information content of the announcement of forecasts changes cannot be established. The gains are larger if the trade is undertaken before the diffusion of the forecast revision to the IBES subscribers. These results do not vary with the model chosen to predict company returns. This does not necessarily indicate the existence of a market inefficiency because information acquisition and analysis costs, as well as transaction costs, may diminish considerably these abnormal trading gains.     

The Timeliness of the Bond Market Reaction to Bad Earnings News

We find that bond price quotes impound bad earnings news on a more timely basis than good earnings news and that the bond market impounds bad news on a more timely basis than the stock market. We also find that the timeliness of the bond market reaction to bad news is concentrated primarily among speculative‐grade bonds, consistent with earnings news having a larger effect on bond price quotes when default risk is high. In addition, we find that a portion of the bad news impounded by the bond market reverses following the earnings announcement. Overall, our findings are consistent with bondholders’ asymmetric payoff function having important implications for the valuation role of accounting information in the bond market. Specifically, our findings indicate that bond quotes impound bad earnings news much earlier in the pre‐earnings announcement period than stock prices. In addition, bondholders appear to overreact to the bad earnings news initially and correct this overreaction subsequent to the earnings announcement.     

The Effect of Short Selling on Market Reactions to Earnings Announcements*

This paper examines the effect of the inherent demand implied by short interest by studying how stock price reactions to earnings announcements depend on the level of short interest. We find that, for extreme good and bad news events, the inherent demand increases stock prices around the earnings announcement date, with the effect being stronger for good news relative to bad news. Specifically, the initial market reaction to an extreme positive earnings surprise is larger for firms with high levels of short interest. On the other hand, for an extreme negative earnings surprise event, the initial market reaction is less negative for heavily shorted firms. Furthermore, we find that the post‐earnings‐announcement drift is smaller (larger) in magnitude for extreme positive (negative) earnings surprises for the heavily shorted firms.     

The Effect of Investor Status on Investors' Susceptibility to Earnings Fixation

This study investigates whether an individual's status as a current or a prospective investor affects the investor's susceptibility to earnings fixation and proposes a mechanism to reduce earnings fixation. Our experimental results suggest that current investors are more susceptible to earnings fixation than prospective investors, and that current investors can reduce earnings fixation by explicitly forecasting future earnings as part of their evaluation process. We provide theory‐consistent evidence that current investors' prevention focus makes them elevate the importance of summary earnings in their evaluation of a company. However, after forecasting future earnings, current investors view summary earnings as only one of several similarly important evaluation inputs rather than as one substantially more important input (relative to its components). Our study contributes to research on earnings fixation and investor status. We also contribute to practice by documenting the moderating effect of investor status on earnings fixation and by identifying a simple mechanism that current investors can use to reduce their susceptibility to earnings fixation.     

Earnings Non‐Synchronicity and Voluntary Disclosure

Earnings non‐synchronicity reflects the extent to which firm‐specific factors determine a firm's earnings. Prior research suggests that high earnings non‐synchronicity impedes corporate outsiders' ability to process information. This study examines the impact of earnings non‐synchronicity on managers' decisions to provide earnings forecasts. We propose that high earnings non‐synchronicity motivates managers to issue earnings forecasts to reduce information asymmetry between managers and investors and to preempt costly information acquisition by outsiders. Consistently, we find a positive relation between earnings non‐synchronicity and managers' propensity to issue earnings forecasts, particularly long‐horizon forecasts. This positive relation is weaker when earnings are easier to predict based on the firm's earnings history and is stronger when the firm has higher institutional ownership and greater analyst following. We also find that the market's reaction to management forecasts increases with earnings non‐synchronicity. Overall, the evidence suggests that managers voluntarily provide earnings forecasts to alleviate the adverse consequences of earnings non‐synchronicity. These findings provide a more complete picture about the impact of earnings non‐synchronicity on a firm's information environment, and highlight the effect of the nature of information asymmetry on voluntary disclosures.     

Impact of Macroeconomic Announcements on Foreign Exchange Volatility: Evidence from South Africa

This study focuses on scheduled macroeconomic news announcements and evaluates their impact on the volatility of the South African rand (ZAR) and US dollar (USD) exchange rate using high frequency data. The following asymmetries are studied: news items by geographical location, no‐news vs. surprise news announcements and positive vs. negative news announcements. We make the following findings in our empirical study: (i) After the release of a news announcement, the level of foreign exchange volatility rises. This is independent of whether the news item surprised the market or not. (ii) Both South African and US news items significantly impact USD/ZAR volatility, suggesting that the news items are being used to formulate investor expectations regarding the future prospects of the currency pair. (iii) Negative news appears to have a greater impact on exchange rate volatility relative to positive news. This result is also state dependent, as investors tend to behave differently to news depending on the economic climate at that point in time. Investor cognitive biases give rise to the asymmetric news effects on exchange rate volatility. Finally, investors do not always act in rational manner, especially when faced with multiple news items that are contradictory to each other.     

Determinants of Managerial Earnings Guidance Prior to Regulation Fair Disclosure and Bias in Analysts' Earnings Forecasts*

Prior to Regulation Fair Disclosure (“Reg FD”), some management privately guided analyst earnings estimates, often through detailed reviews of analysts' earnings models. In this paper I use proprietary survey data from the National Investor Relations Institute to identify firms that reviewed analysts' earnings models prior to Reg FD and those that did not. Under the maintained assumption that firms conducting reviews guided analysts' earnings forecasts, I document firm characteristics associated with the decision to provide private earnings guidance. Then I document the characteristics of “guided” versus “unguided” analyst earnings forecasts. Findings demonstrate an association between several firm characteristics and guidance practices: managers are more likely to review analyst earnings models when the firm's stock is highly followed by analysts and largely held by institutions, when the firm's market‐to‐book ratio is high, and its earnings are important to valuation but hard to predict because its business is complex. A comparison of guided and unguided quarterly forecasts indicates that guided analyst estimates are more accurate, but also more frequently pessimistic. An examination of analysts' annual earnings forecasts over the fiscal year does not distinguish between guidance and no‐guidance firms; both experience a “walk‐down” in annual estimates. To distinguish between guidance and no‐guidance firms, one must examine quarterly earnings news: unguided analysts walk down their annual estimates when the majority of the quarterly earnings news is negative; guided analysts walk down their annual estimates even though the majority of the quarterly earnings news is positive.     

Last‐Chance Earnings Management: Using the Tax Expense to Meet Analysts' Forecasts*

We assert that the tax expense is a powerful context in which to study earnings management, because it is one of the last accounts closed prior to earnings announcements. Although many pre‐tax accruals must be posted in the year‐end general ledger, managers estimate and negotiate tax expense with their auditors immediately prior to earnings announcements. We hypothesize that changes from third‐ to fourth‐quarter effective tax rates (ETRs) are negatively related to whether and how much a firm's earnings absent tax expense management miss analysts' consensus forecast, a proxy for target earnings. We measure earnings absent tax expense management as actual pre‐tax earnings adjusted for the annual ETR reported at the third quarter. We provide robust evidence that firms lower their projected ETRs when they miss the consensus forecast, which is consistent with firms decreasing their tax expense if non‐tax sources of earnings management are insufficient to achieve targets. We also find that firms that exceed earnings targets increase their ETR, but this effect is less significant. By studying the tax expense in total, rather than narrow components of deferred tax expense, our results provide general evidence that reported taxes are used to manage earnings.     

The Walk‐down to Beatable Analyst Forecasts: The Role of Equity Issuance and Insider Trading Incentives*

It has been alleged that firms and analysts engage in an "earnings‐guidance game" where analysts first issue optimistic earnings forecasts and then "walk down" their estimates to a level that firms can beat at the official earnings announcement. We examine whether the walk‐down to beatable targets is associated with managerial incentives to sell stock after earnings announcements on the firm's behalf (through new equity issuance) or from their personal accounts (through option exercises and stock sales). Consistent with these hypotheses, we find that the walk‐down to beatable targets is most pronounced when firms or insiders are net sellers of stock after an earnings announcement. These findings provide new insights on the impact of capital‐market incentives on communications between managers and analysts.