Knowledge that Transforms

We assess potential information transfers by examining the association between the earnings announcements of early and late announcers in an industry. Our earnings prediction models are statistically significant much more frequently than would be expected by chance. The models suggest potential positive information transfers on average, but there is substantial cross-industry variation in the strength of this relation. We find that the greatest price reactions by nonannouncers to same-industry earnings announcements occur in industries with the greatest earnings comovement

This paper re-examines the Ou and Penman (1989) conclusion that fundamental analysis identifies equity values not currently reflected in stock prices, and thus systematically predicts abnormal returns. Their fundamental summary measure Pr, the estimated probability of an earnings increase, also proxies for firm size and CAPM risk. After controlling cross-sectional differences in CAPM beta and firm size, no significant incremental predictive ability is attributable to Pr. The Pr measure is interpreted as a proxy for expected return differences rather than as new evidence of a systematic market underreaction to the future earnings signal inherent in current financial statements.

We examine the profitability of a trading strategy which is based on a logit model designed to predict the sign of subsequent twelve-month excess returns from accounting ratios. Over the 1978–1988 period, the average annual excess return produced by the trading strategy ranges between 4.3% and 9.5%, depending on the specific measure of excess return and weighting scheme involved. However, our implementation of the Ou and Penman (1989) trading strategy in the 1978–1988 period, which is based on a logit model that predicts subsequent unexpected earnings- per-share from accounting ratios, does not earn excess returns.

This paper examines the response of managers of property-casualty insures to the differential costs and benefits of understanding the liability for outstanding claim losses. The primary hypothesis is that the incentive to underestimate the liability is a decreasing function of the insurer's actual financial position. Empirical tests suggest that managers of financially weak insurers bias downward their estimates of claim loss reserves relative to other insurers after controlling for exogenous economic factors. Evidence also reveals that managers of insurers ‘close’ to receiving regulatory attention understate reserve estimates to an even larger degree.

This study examines whether annual financial statements filed with the Securities and Exchange Commission are timely sources of information for investors. We examine a summary measure, the probability of bankruptcy, through which the release of financial statements might communicate information to investors. The results indicate that a significant association exists between revisions in the probability of bankruptcy due to nonearnings data and security returns over the fiscal year, but that investors have largely revised their estimates of the probability of bankruptcy prior to the release of the full financial statements.

This study seeks to identify economic and financial characteristics that distinguish three groups of companies classified by response to the U.K.'s mandatory CCA standard (SSAP 16) as loyal compliers, early defectors and hard-line noncompliers. Three major explanatory variables emerge – leverage, firm size, and the fixed assets to total assets ratio. Overall results suggest that a major motivation for compliance was lower income reporting, especially as an argument for continuing recognition of CCA for tax and regulatory purposes. The belief that noncompliance was largely motivated by preparation costs is discounted.

Stock return over a period reflects the market's revision in expectation of future earnings. Accounting earnings over the same period, however, have limited ability to reflect such revised expectations. Therefore, returns anticipate earnings changes and the earnings response coefficient from a regression of returns on contemporaneous earnings changes is biased toward zero. We reduce this bias by including leading-period returns in price-earnings regressions. The resulting estimated earnings response coefficient magnitudes suggest that the capital market, on average, views earnings changes to be largely permanent. This is consistent with the random walk time series property of annual earnings.

This study separates trading volume into buyer- and seller-initiated activities and examines the directional volume reaction in small and large trades to different types of earnings news. ‘Good’ (‘bad’) news triggers brief, but intense, buying (selling) in the large trades. However, a persistent period of unusually high buying activity is observed in the small trades irrespective of the news. This anomalous proclivity of small traders to buy is robust across firm size, trading volume, and different earnings expectation models. Several explanations are discussed, although the behavior does not seem fully explained by existing theories.

This paper evaluates the relative performance of IBES consensus financial analyst forecasts and forecasts based upon the anticipatory behaviour of security prices, according to two criteria: (a) the accuracy of earnings growth predictions and (b) the contemporaneous association between unexpected earnings and security returns during the forecast year. Results are presented for firms in differing size groups, measured here by market capitalization. The results indicate that neither forecast source is superior to the other in terms of either criterion. There is, however, significant complementarity of financial analyst and price-based forecasts.