Aggregate Earnings and Corporate Bond Markets

I examine the previously unexplored relation between aggregate earnings changes and corporate bond market returns. I find that aggregate earnings changes have a negative relation to investment‐grade corporate bond market returns and a positive relation to high‐yield corporate bond market returns. The aggregate earnings‐returns relation is lower (i.e., less positive or more negative) for bonds with higher credit ratings and longer maturities. Further, I show that the aggregate earnings‐returns relation is driven by both the expected and the news component of aggregate earnings changes. The expected component is negatively related to expected returns, and the news component is positively related to cash flow news and changes in nominal interest rates, and negatively related to changes in default premia. My results contribute to the understanding of the role of earnings in corporate bond markets as well as the macroeconomic role of accounting information.     

Earnings forecasts and idiosyncratic volatilities

We test the theoretical relation between idiosyncratic return volatilities and the volatilities of cash-flow news based on the expected returns on equity (ROE) for CRSP stocks over the period 1977–2008. Consistent with economic intuition, we find that using analyst forecasts of earnings is superior to using realized earnings to proxy for market expectations about future cash flow news. Our findings are consistent with a market where stock return volatilities are positively and asymmetrically related to changes in the volatilities of expectations for a fundamental driver of cash flow news (ROE). Our findings are robust after correcting for forecast biases, various fundamental variables, newly-listed and mature firms, and periods with and without earnings announcements.     

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 comovement of US and German bond markets

We use a vector-autoregression, with parameter estimates corrected for small-sample bias, to decompose US and German unexpected bond returns into three ‘news’ components: news about future inflation, news about future real interest rates, and news about future excess bond returns (term premia). We then cross-country correlate these news components to see which component is responsible for the high degree of comovement of US and German bond markets. For the period 1975-2003 we find that inflation news is the main driving force behind this comovement. When news is coming to the US market that future US inflation will increase, there is a tendency that German inflation will also increase. This is regarded bad news for the bond market in both countries whereby bond prices are bid down leading to immediate negative return innovations and changing expectations of future excess bond returns. Thus, comovement in expected future inflation is the main reason for bond market comovement.     

Earnings Announcements and Systematic Risk

Firms scheduled to report earnings earn an annualized abnormal return of 9.9%. We propose a risk‐based explanation for this phenomenon, whereby investors use announcements to revise their expectations for nonannouncing firms, but can only do so imperfectly. Consequently, the covariance between firm‐specific and market cash flow news spikes around announcements, making announcers especially risky. Consistent with our hypothesis, announcer returns forecast aggregate earnings. The announcement premium is persistent across stocks, and early (late) announcers earn higher (lower) returns. Nonannouncers' response to announcements is consistent with our model, both over time and across firms. Finally, exposure to announcement risk is priced.     

Individual Investor Trading and Return Patterns around Earnings Announcements

This paper provides evidence of informed trading by individual investors around earnings announcements using a unique data set of NYSE stocks. We show that intense aggregate individual investor buying (selling) predicts large positive (negative) abnormal returns on and after earnings announcement dates. We decompose abnormal returns following the event into information and liquidity provision components, and show that about half of the returns can be attributed to private information. We also find that individuals trade in both return‐contrarian and news‐contrarian manners after earnings announcements. The latter behavior has the potential to slow the adjustment of prices to earnings news.     

Aggregate insider trading: Contrarian beliefs or superior information?

We decompose realized market returns into expected return, unexpected cash-flow news and unexpected discount rate news to test the relation between aggregate market returns and aggregate insider trading. We find that (1) the predictive ability of aggregate insider trading is much stronger than what was reported in earlier studies, (2) aggregate insider trading is strongly related to unexpected cash-flow news, (3) market expectations do not cause insider trading contrary to what others have documented, and (4) aggregate insider trading in firms with high information uncertainty is more likely to be associated with contrarian investment strategy. These results strongly suggest that the predictive ability of aggregate insider trading is because of insider’s ability to predict future cash-flow news rather than from adopting a contrarian investment strategy. These results hold even after we control for non-informative trades and information uncertainty.     

The options market response to accounting earnings announcements

We examine the reaction of the equity options market to accounting earnings announcements over the period 1996–2008 using changes in implied volatility to measure the options market response to earnings news. We find that positive earnings surprises and positive profit announcements produce a larger uncertainty resolution than negative earnings surprises and loss announcements. We demonstrate an inverse relation between the change in implied volatility and earnings news in a three-day window immediately after an earnings announcement. We refer to the magnitude of this relation as the ‘options market earnings response coefficient’. This ‘options market earnings response coefficient’ is stronger for both bad news announcements and positive profit announcements. We do not find any significant relation between changes in implied volatility and earnings news in the pre- or post-announcement periods. We conclude that the options market efficiently absorbs earnings information.     

Dissecting Earnings Recognition Timeliness

We dissect the portion of stock price change of the fiscal year that is recognized in reported accounting earnings of the year. We call this portion earnings recognition timeliness (ERT). The emphasis in our dissection is on empirical identification of two fundamental precepts of financial accounting: (1) the matching principle, which is manifested in the recognition of expenses in the same period as the related benefits (i.e., sales revenue) accrue; and (2) recognition of expenses in the current period due to changes in expectations regarding earnings of future periods (we refer to these expenses as the expectations element of expenses). Although the expectations element has implicitly been at the core of much of the recent empirical literature on asymmetry in the earnings/return relation, it has not been explicitly identified. This recent literature is based on the premise that bad news about the future leads to more recognition of expenses in the current period (such as write‐downs) whereas good news about the future tends to have a much lesser effect on expenses of the current period; asymmetry in the expenses/return relation is captured implicitly via the observation of asymmetry in the earnings/return relation (i.e., asymmetry in ERT). Since the ERT reflects the relation between sales revenue and returns, matched expenses and returns, as well as the relation between the expectations element of expenses and returns, a focus on the expectations element may lead to sharper inferences. Our straightforward empirical procedure permits a focus on this element.     

Survival

Empirical analysis of rates of return in finance implicitly condition on the security surviving into the sample. We investigate the implications of such conditioning on the time series of rates of return. In general this conditioning induces a spurious relationship between observed return and total risk for those securities that survive to be included in the sample. This result has immediate implications for the equity premium puzzle. We show how these results apply to other outstanding problems of empirical finance. Long-term autocorrelation studies focus on the statistical relation between successive holding period returns, where the holding period is of possibly extensive duration. If the equity market survives, then we find that average return in the beginning is higher than average return near the end of the time period. For this reason, statistical measures of long-term dependence are typically biased towards the rejection of a random walk. The result also has implications for event studies. There is a strong association between the magnitude of an earnings announcement and the postannouncement performance of the equity. This might be explained in part as an artefact of the stock price performance of firms in financial distress that survive an earnings announcement. The final example considers stock split studies. In this analysis we implicitly exclude securities whose price on announcement is less than the prior average stock price. We apply our results to this case, and find that the condition that the security forms part of our positive stock split sample suffices to explain the upward trend in event-related cumulated excess return in the preannouncement period.     

Detecting news in aggregate accounting earnings: implications for stock market valuation

How much news is there in aggregate accounting earnings? I provide evidence that earnings changes at the stock market level are correlated with new information about not only expected future cash flows but also discount rates. A comprehensive investigation of the link to discount rates reveals that aggregate earnings changes are tied to news about all components of the expected future stock market return, i.e., the real riskless rate, expected inflation, and the expected equity risk premium. Over the sample period studied, cash flow news and discount rate news in aggregate earnings changes covary positively and have offsetting impacts on stock market prices. As a result, stock market prices appear to be insensitive to aggregate earnings changes. The findings highlight the importance of separating cash flow news from discount rate news when evaluating the information content of accounting earnings at the stock market level. Overall, my study sheds new light on the informativeness and relevance of accounting earnings for valuation at the stock market level.     

Information,uncertainty, and behavioral effects: Evidence from abnormal returns around real estate investment trust earnings announcements

In this study, we examine the influence of real estate market sentiment, market-level uncertainty, and REIT-level uncertainty on cumulative abnormal earnings announcement returns over the 1995–2009 time period. We first document the relative coverage of analysts' earnings forecasts on U.S. REITs, as well as REITs from several countries (i.e., Australia, Belgium, Canada, France, Hong Kong, Japan, the Netherlands, and UK). We show that coverage outside of the U.S. is limited, and we consequently focus our analysis on U.S. REITs. We find strong evidence that earnings announcements contain pricing relevant information, with positive (negative) earnings surprises relative to analysts' forecasts resulting in significantly positive (negative) abnormal returns around the announcement date. Consistent with the findings from the broader equity market literature, we find limited evidence of a pre-announcement drift in the cumulative abnormal returns. However, in sharp contrast to the existing equity literature, we find no evidence of a post-earnings announcement drift in our aggregate sample or when the sample is restricted to the largest negative surprises. We find evidence of a post-earnings announcement drift for only the largest positive earnings surprises. These results are consistent with REIT returns more quickly impounding information relative to the broader equity market, in part because of the parallel private real estate market and because of the U.S. REIT structure and information environment. Finally, in our conditional regression analysis of cumulative abnormal returns, we find that real estate investor sentiment, market-wide uncertainty, and firm-level uncertainty significantly affect the magnitude of abnormal announcement returns and also influence the effect of unexpected earnings on abnormal returns.     

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.     

Effects of Preannouncements on Analyst and Stock Price Reactions to Earnings News

This study examines the effects of earnings preannouncements on financial analyst and stock price reactions to earnings news. Prior experimental research documents that when the signs of a preannouncement surprise and subsequent earnings announcement surprise are consistent (i.e., both either positive or negative), analysts make larger magnitude revisions to their future period earnings forecasts in response to the total earnings news conveyed in the preannouncement and earnings announcement than when the surprise signs are inconsistent. This study extends this research by examining a sample of actual preannouncements from 1993–1997 to determine whether the effects documented in laboratory settings manifest at the aggregate market level in stock prices and consensus analyst forecast revisions. Results indicate that after controlling for the sign of earnings news, sign of earnings, and sign of the earnings announcement surprise, stock prices and analyst forecast revisions respond more strongly when a preannouncement and subsequent earnings announcement elicit the same surprise signs than when the surprise signs are inconsistent. Further analysis indicates that the consistency of the signs of a preannouncement surprise and earnings announcement surprise is not associated with future earnings, suggesting that the magnified reaction of investors and analysts to consistent surprise signs is not a rational reaction to associations observed in market settings.     

Are short sellers incrementally informed prior to earnings announcements?

Contrary to the hypothesis that informed short sellers increase their positions prior to earnings announcements, we find that short activity declines in the pre-announcement period compared with activity in non-announcement time. This statistically significant, but economically modest, decline may suggest that the fraction of informed short sellers actually increases if (as Diamond and Verrecchia (1987) suggest) the uncertainty around earnings announcements increases short selling costs and causes uninformed short sellers to withdraw from the market. While we find a statistically and economically significant inverse relation between pre-announcement short activity and announcement period returns, when we control for the non-announcement ability of short sellers to predict future returns documented by Diether et al. (2009), the significance of the relation between pre-announcement short activity and announcement period returns vanishes. Thus, we infer that short sellers are not incrementally informed prior to earnings announcements.     

How important are semi-annual earnings announcements? An information event perspective

Using a method that avoids the need to specify earnings expectations, we demonstrate that the period surrounding the semi-annual announcement of Australian firms' earnings is, on average, an important source of information. Although there is substantial year-to-year variation, we observe no evidence of any significant time trend, and also conclude that a shift from Australian domestic generally accepted accounting principle to International Financial Reporting Standards did not impact the association between earnings announcement windows and stock returns. We also find no evidence that the informativeness of earnings announcements varies systematically with firm size, analyst following or economic news (i.e., positive vs. negative stock returns, profits vs. losses), although we do observe significant variation across industries. Our conclusion is further supported by contrasting the earnings release date with the days immediately prior to release, or high information days other than earnings announcement windows. Using a more precise event window relative to prior studies (i.e., 3 h vs. 3 days), we confirm that earnings announcements contain significant new information about fundamentals.     

Earnings and Dividend Announcements: Is There a Corroboration Effect?

We examine abnormal stock returns surrounding contemporaneous earnings and dividend announcements in order to determine whether investors evaluate the two announcements in relation to each other. We find that there is a statistically significant interaction effect. The abnormal return corresponding to any earnings or dividend announcement depends upon the value of the other announcement. This evidence suggests the existence of a corroborative relationship between the two announcements. Investors give more credence to unanticipated dividend increases or decreases when earnings are also above or below expectations, and vice versa.     

The timing of information arrival and overnight returns

This paper examines the information assimilation of overnight returns after positive or negative news arriving during RHT (regular-hours-trading) or AHT (after-hour-trading). We first show that overnight returns are informative of earnings news arriving either during RHT or AHT, and the effects are strongest on the first day after the announcement. Our results then suggest that positive (negative) overnight returns after good (bad) earnings news arrival increase (decrease) CARs, with more pronounced effects for news released AHT. We further show that the market takes the timing of news release into account and reacts negatively to those released during AHT, causing significant under-performance in the subsequent CAR. Lastly, our finding of market underreaction to good news and overreaction to bad news when it is released during AHT suggest that it may be more appropriate for managers to release all news during RHT when market participants are at their trading desks.     

Is there Information in an Earnings Announcement Delay?

Using a sample of announcements drawn from the 1980s and early 1990s, we reassess the relation between earnings news and earnings announcement timing. Using analyst forecast errors to proxy for news, we find that early announcements are associated with good news relative to late announcements. The relation between news and timing, however, does not appear to be strictly monotonic. Furthermore, we find that unexpected earnings explain 4% or less of the variation in timing. Finally, we assess whether abnormal returns behave in a manner that is consistent with a good news early, bad news late relation.     

Earnings management and corporate spinoffs

In this study we examine whether firms manage earnings before pursuing corporate spinoffs. Using a sample of 226 completed spinoffs between 1985 and 2005, we find strong evidence of pre-spinoff earnings management among parent firms involved in non-focus-increasing spinoffs. We also find higher levels of earnings management among parent firms that have a higher level of information asymmetry prior to spinoff announcements. Our regression results show a significant negative relation between income-increasing earnings management and the announcement period returns for non-focus-increasing spinoffs. In addition, a significant positive relation is found between income-increasing earnings management and the announcement period returns for focus-increasing spinoffs. The results suggest that income-increasing earnings management sends out negative signals about non-focus-increasing spinoffs but positive signals about focus-increasing spinoffs.