Voluntary disclosure of accruals in earnings press releases and the pricing of accruals

This study investigates firms’ decisions to disclose accruals information in earnings press releases versus to provide it only in 10-Q filings and the impact of this disclosure on the pricing of accruals. I find that firms disclose accruals in their press releases when earnings alone are a weak indication of cash flow performance and that following these disclosures the accruals information is fully impounded into stock prices. The evidence suggests that when investor demand for accruals is likely to exist and firms disclose the information in earnings press releases, the mispricing typically associated with accruals is mitigated.

An integrated analysis of the association between accrual disclosure and the abnormal accrual anomaly

We find no evidence of accrual mispricing for firms that disclose accrual information at earnings announcements. For these firms, the market differentiates the discretionary from the nondiscretionary components of the earnings surprise. In contrast, the market fails to distinguish between the discretionary and the nondiscretionary components of the earnings surprise for firms that do not disclose accrual information at earnings announcements. These firms experience some stock price correction around the filing date. However, the correction is only partial, resulting in a post-filing drift.

Accounting conservatism and corporate governance

We predict that firms with stronger corporate governance will exhibit a higher degree of accounting conservatism. Governance level is assessed using a composite measure that incorporates several internal and external characteristics. Consistent with our prediction, strong governance firms show significantly higher levels of conditional accounting conservatism. Our tests take into account the endogenous nature of corporate governance, and the results are robust to the use of several measures of conservatism (market-based and nonmarket-based). Our evidence is consistent with the direction of causality flowing from governance to conservatism, and not vice versa, indicating that governance and conservatism are not substitutes. Finally, we study the impact of earnings discretion on the sensitivity of earnings to bad news across governance structures. We find that, on average, strong-governance firms appear to use discretionary accruals to inform investors about bad news in a timelier manner.

Do Short Sellers Target Firms with Poor Earnings Quality? Evidence from Earnings Restatements

We study the behavior of short sellers around earnings restatements. We find that short sellers accumulate positions in restating firms several months in advance of the restatement and subsequently unwind these positions after the drop in share price induced by the restatement. The increase in short interest is larger for firms with high levels of accruals prior to restatement. We document that heavily shorted firms experience poor subsequent performance and a higher rate of delisting. Overall, these results suggest that the motive for short selling is, at least in part, related to suspect financial reporting and that short sellers pay attention to information being conveyed by accruals.

Do core and non-core cash flows from operations persist differentially in predicting future cash flows?

This study investigates the persistence of cash flow components (core and non-core cash flows) using a cash flow prediction model. By extending the Barth, Cram, and Nelson (Account Rev 76(January):27–58, 2001) model, we examine the role of cash flow components in predicting future cash flows beyond that of accrual components. We propose a cash flow prediction model that decomposes cash flows from operations into core and non-core cash flow components that parallel the presentation and format of operating income from the income statement. Consistent with the AICPA and financial analysts’ recommendations, and as predicted, we find that core and non-core cash flows defined in our paper are differentially persistent in predicting future cash flows; and these cash flow components enhance the in-sample predictive ability of cash flow prediction models. We also analyze the association of in-sample prediction errors with earnings, cash flow and accruals variability. We find that disaggregating cash flows improve in-sample prediction, especially for large firms with high cash flows and earnings variability.

The contextual nature of the predictive power of statistically-based quarterly earnings models

We present new empirical evidence on the contextual nature of the predictive power of five statistically-based quarterly earnings expectation models evaluated on a holdout period spanning the twelve quarters from 2000–2002. In marked contrast to extant time-series work, the random walk with drift (RWD) model provides significantly more accurate pooled, one-step-ahead quarterly earnings predictions for a sample of high-technology firms (n = 202). In similar predictive comparisons, the Griffin-Watts (GW) ARIMA model provides significantly more accurate quarterly earnings predictions for a sample of regulated firms (n = 218). Finally, the RWD and GW ARIMA models jointly dominate the other expectation models (i.e., seasonal random walk with drift, the Brown-Rozeff (BR) and Foster (F) ARIMA models) for a default sample of firms (n = 796). We provide supplementary analyses that document the: (1) increased frequency of the number of loss quarters experienced by our sample firms in the holdout period (2000–2002) vis-à-vis the identification period (1990–1999); (2) reduced levels of earnings persistence for our sample firms relative to earnings persistence factors computed by Baginski et al. (2003) during earlier time periods (1970s–1980s); (3) relative impact on the predictive ability of the five expectation models conditioned upon the extent of analyst coverage of sample firms (i.e., no coverage, moderate coverage, and extensive coverage); and (4) sensitivity of predictive performance across subsets of regulated firms with the BR ARIMA model providing the most accurate predictions for utilities (n = 87) while the RWD model is superior for financial institutions (n = 131).

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How does the corporate bond market value capital investments and accruals?

This paper examines whether the mispricing of accruals documented in equity markets extends to bond markets. The paper finds that corporate bonds of firms with high operating accruals underperform corporate bonds of firms with low operating accruals. In the first year after portfolio formation, the underperformance is 115 basis points using an accrual measure that includes capital investments and 93 basis points using an accrual measure that is based only on working capital investments. The Sharpe ratios of the zero-investment bond accrual portfolios are comparable to those of the corresponding zero-investment stock accrual portfolios. The results are also robust to risk adjustments based on both a factor model consisting of the Fama and French (J. Financial Econ 33 (1993) 3) stock and bond market factors and a characteristics model based on bond ratings and duration. Cross-sectional Fama–MacBeth regressions that use individual bond data and control for stock and bond issuances in addition to ratings and duration also confirm the time-series portfolio findings. Overall, our results reveal an accrual anomaly among bonds similar to that observed among stocks.

Stock Price Reaction to Evidence of Earnings Management: Implications for Supplementary Financial Disclosure

We condition security price reactions to quarterly earnings announcements on whether firms disclose supplementary balance sheet and/or cashflow information that can be used to estimate the consequences of earnings management. Disclosure of supplementary information is voluntary, and thus, we consider the possibility that firms that disclose balance sheet and/or cashflow information differ systematically from firms that do not disclose. Results indicate that investors discount evidence of earnings management at the disclosure date when supplementary information is disclosed. Such results indicate more informed earnings interpretations of quarterly earnings when firms provide balance sheet and/or cashflow information concurrently.

Do German security analysts herd?

We employ an innovative methodology suggested by Bernhardt et al. (J. Financ. Econ. 80:657–675, 2006) to examine the herding (or anti-herding) behavior of German analysts regarding earnings forecasts. This methodology avoids well-known shortcomings often encountered in related studies, such as correlated information signals, unexpected common shocks to earnings, systematic optimism or pessimism, or forecast target mismeasurement. Our findings suggest that German analysts anti-herd, that is, they systematically issue earnings forecasts that are further away from the consensus forecast than their private information indicates. Furthermore, we analyze the association between herding behavior and different characteristics, including the size of the brokerage, general or firm-specific experience, and the coverage of firms on the Neuer Markt. We mainly confirm findings for the United States, for example, that anti-herding is more severe in cases of higher competition among analysts. Contrary to anecdotal evidence, we also find anti-herding behavior in earnings forecasts for Neuer Markt firms during the “new economy” bubble.

Information effects of dividends: Evidence from the Hong Kong market

The literature has suggested that earnings and earnings forecasts provide stronger signals than dividends about future performance of a firm. We test the information effects of simultaneous announcement of earnings and dividends in the Hong Kong market, distinguished by three interesting features (concentrated family-shareholdings, low corporate transparency, and no tax on dividends). Our results show significant share price reactions to unexpected earnings and dividend changes, but dividends appear to play a dominant role over earnings in pricing, a result contrary to findings in the literature. The signaling hypothesis works primarily for firms with earning increases, while the maturity hypothesis works mainly for firms with earnings declines.