We show that, contrary to popular belief, initial public offering (IPO) firms report more conservatively. We attribute this to the higher quality reporting demanded of public firms by financial statement users and consequentially higher monitoring by auditors, boards, analysts, rating agencies, press, and litigants, and to greater regulatory scrutiny [Ball, R., Shivakumar, L., 2005. Earnings quality in UK private firms: comparative loss recognition timeliness. Journal of Accounting and Economics 39, 83–128]. We also question the evidence of Teoh et al. [1998b. Earnings management and the subsequent market performance of initial public offerings. Journal of Finance 53, 1935–1974] supporting the alternative hypothesis that managers opportunistically inflate earnings to influence IPO pricing. We conjecture that upward-biased estimates of “discretionary” accruals occur in a broad genre of studies on earnings management around similar large transactions and events.

UK private and public companies face substantially equivalent regulation on auditing, accounting standards and taxes. We hypothesize that private company financial reporting nevertheless is of lower quality due to different market demand, regulation notwithstanding. A large UK sample supports this hypothesis. Quality is operationalized using Basu's (1997) time-series measure of timely loss recognition and a new accruals-based method. The result is not affected by controls for size, leverage, industry membership and auditor size, or by allowing endogenous listing choice. The result enhances understanding of private companies, which are predominant in the economy. It also provides insight into the economics of accounting standards.

Rendleman, Jones, and Latané (1987) and Bernard and Thomas (1990) hypothesize and report evidence that investors use a ‘naive’ seasonal random walk model, at least in part, for quarterly earnings. We show that the market acts as if it: (1) does not use a simple seasonal random walk model; (2) does exploit serial correlation at lags 1–4 in seasonally-differenced quarterly earnings; (3) does use the correct signs in exploiting serial correlation at each lag; but (4) underestimates the magnitude of serial correlation by approximately 50% on average. We discuss the consistency of alternative hypotheses with our evidence.

Examines risk, return and abnormal return behavior in the days around quarterly earnings announcements, using a research design that allows risk to vary daily in event time. Result of the tests conducted on several hypotheses concerning the effect on security prices of earnings announcements; Investigation whether cross-sectional variation in announcement-period risks and returns is a function of firm size.

Reviews the book "Management Decision Making Under Uncertainty: An Introduction to Probability and Statistical Decision," by T.R. Dyckman, S. Smidt and A.K. McAdams.

We quantify the relative importance of earnings announcements in providing new information to the share market, using the R 2 in a regression of securities' calendar‐year returns on their four quarterly earnings‐announcement “window” returns. The R 2 , which averages approximately 5% to 9%, measures the proportion of total information incorporated in share prices annually that is associated with earnings announcements. We conclude that the average quarterly announcement is associated with approximately 1% to 2% of total annual information, thus providing a modest but not overwhelming amount of incremental information to the market. The results are consistent with the view that the primary economic role of reported earnings is not to provide timely new information to the share market. By inference, that role lies elsewhere, for example, in settling debt and compensation contracts and in disciplining prior information, including more timely managerial disclosures of information originating in the firm's accounting system. The relative informativeness of earnings announcements is a concave function of size. Increased information during earnings‐announcement windows in recent years is due only in part to increased concurrent releases of management forecasts. There is no evidence of abnormal information arrival in the weeks surrounding earnings announcements. Substantial information is released in management forecasts and in analyst forecast revisions prior (but not subsequent) to earnings announcements.

We investigate the role of accrual accounting in the asymmetrically timely recognition (incorporation in reported earnings) of gains and losses. Timely recognition requires accruals when it precedes complete realization of the gains and losses in cash. We show that nonlinear accruals models incorporating the asymmetry in gain and loss recognition (timelier loss recognition, or conditional conservatism) offer a substantial specification improvement, explaining substantially more variation in accruals than equivalent linear specifications. Conversely, conventional linear accruals models, by omitting the loss recognition asymmetry, exhibit substantial attenuation bias and offer a comparatively poor specification of the accounting accrual process. Linear specifications also understate the ability of current earnings to predict future cash flows. These findings have implications for our understanding of accrual accounting and conservatism, as well as for researchers estimating discretionary accruals, earnings management, and earnings quality.

Value relevance, Accounting, Earnings announcements, Usefulness of Accounting