This study provides empirical evidence regarding the effect of annual accounting earnings announcements on investors' trading behavior. We find that the magnitude of trading volume reaction is an increasing function of both the magnitude of the associated price reaction and the level of predisclosure information asymmetry. These results are consistent with Kim and Verrecchia's (1991a) theoretical trading volume proposition.

Varian (1985) and Karpoff (1986) showed analytically that trading volume is positively related to the degree of differing beliefs. This study provides empirical evidence on the postulated relationship. The exe tent of disagreement or dispersion in financial analysts' forecasts of annual EPS for a firm is employed as the proxy for agents' differing beliefs about the firm's prospects. The revision in analysts' mean EPS forecasts, from one month to the next, is used to control for the volume effects of the net information signals emanating during the period. While some researchers have addressed the relation between the level of trading and earnings announcements (Beaver 1968; Morse 1981), and between trading volume and the magnitude of earnings forecast errors (Bamber 1986, 1987), the impact of discordant expectations on trading volume has been the subject of more recent empirical examination (Comiskey et al. 1987; Ziebart 1990; Lang and Litzenberger 1989). The hypothesis tested in this study posits that the fraction of outstanding common shares traded is a positive function of both forecast dispersion and mean forecast revision. While most previous studies of volume have concentrated on specific accounting disclosures, this study examines the trading associated with an almost continuous flow of information about the sampled firms that analysts implicitly use in their periodic revisions of earnings forecasts. Hence, tests of the model become possible at several times during the year, independent of formal accounting events/disclosures. Monthly observations in each of the four years 1978 to 1981 are used for the sample of 420 calendar-year firms; total number of observations is 16,747 over 48 months. Generalized least squares (GLS) estimation is applied to observations pooled over time and cross-sections and for each of the four years separately. Ordinary least squares (OLS) estimations are also performed and reported for comparative purposes and also to assess the stability of the models in monthly cross-sections. The results indicate a significant positive association between the dispersion in analysts' forecasts of annual EPS and the volume of trading. A relatively stable and positive association is found even after controlling for the volume effects of the magnitude of monthly revisions in the mean analysts' (annual) EPS forecast. The evidence corroborates the theoretical result that the degree of heterogeneity in beliefs is a determinant of the intensity of trading.

[Varian (1985) and Karpoff (1986) showed analytically that trading volume is positively related to the degree of differing beliefs. This study provides empirical evidence on the postulated relationship. The extent of disagreement or dispersion in financial analysts' forecasts of annual EPS for a firm is employed as the proxy for agents' differing beliefs about the firm's prospects. The revision in analysts' mean EPS forecasts, from one month to the next, is used to control for the volume effects of the net information signals emanating during the period. While some researchers have addressed the relation between the level of trading and earnings announcements (Beaver 1968; Morse 1981), and between trading volume and the magnitude of earnings forecast errors (Bamber 1986, 1987), the impact of discordant expectations on trading volume has been the subject of more recent empirical examination (Comiskey et al. 1987; Ziebart 1990; Lang and Litzenberger 1989). The hypothesis tested in this study posits that the fraction of outstanding common shares traded is a positive function of both forecast dispersion and mean forecast revision. While most previous studies of volume have concentrated on specific accounting disclosures, this study examines the trading associated with an almost continuous flow of information about the sampled firms that analysts implicitly use in their periodic revisions of earnings forecasts. Hence, tests of the model become possible at several times during the year, independent of formal accounting events/disclosures. Monthly observations in each of the four years 1978 to 1981 are used for the sample of 420 calendar-year firms; total number of observations is 16,747 over 48 months. Generalized least squares (GLS) estimation is applied to observations pooled over time and cross-sections and for each of the four years separately. Ordinary least squares (OLS) estimations are also performed and reported for comparative purposes and also to assess the stability of the models in monthly cross-sections. The results indicate a significant positive association between the dispersion in analysts' forecasts of annual EPS and the volume of trading. A relatively stable and positive association is found even after controlling for the volume effects of the magnitude of monthly revisions in the mean analysts' (annual) EPS forecast. The evidence corroborates the theoretical result that the degree of heterogeneity in beliefs is a determinant of the intensity of trading.]

Disclosure timeliness is of concern because a report's usefulness may be inversely related to the reporting delay. Although longer delays increase the likelihood that some of the information contained in annual earnings disclosures will be preempted by information from more timely sources, previous research investigating the relation between earnings‐disclosure timeliness and the intensity of the associated market reaction has reported mixed results. These inconclusive findings may be at least partially due to the effects of a potentially confounding variable — firm size — which may have offset the reporting delay effect. Large firms usually disclose earnings relatively early, but the associated market reaction tends to be small due to the size effect. Small firms disclose later, but their associated market reaction tends to be high due to the size effect. Consequently, this study employs a multivariate approach, which controls for firm size, in investigating the relationship between the timeliness of annual earnings disclosure and the associated security price reaction. The study's results support the hypothesis that after controlling for firm size, the length of the reporting delay is inversely related to the magnitude of report period price revaluations. That is, longer delays are associated with smaller market reactions, when firm size is held constant. There is some evidence that this relation may be stronger for earnings announcements which convey “bad news.” Résumé. La publication rapide de l'information est un sujet de préoccupation, puisque l'utilité d'un rapport risque d'être inversement proportionnelle au délai de publication. Bien que des délais plus longs augmentent la probabilité que certaines des informations contenues dans la publication annuelle des bénéfices aient déjà été obtenues de sources plus rapides, de précédents travaux de recherche analysant la relation entre la rapidité de la publication des bénéfices et l'intensité de la réaction du marché à l'information publiée ont abouti à des résultats mixtes. Ces résultats non concluants peuvent être au moins en partie attribuables à l'incidence d'une variable pouvant porter à confusion — celle de la taille de l'entreprise — susceptible d'avoir compensé l'incidence du délai de publication. Les entreprises de taille importante publient habituellement leurs bénéfices assez tôt, mais la réaction du marché à cette information tend à être mitigée, à cause de l'incidence de la taille. Les petites entreprises publient plus tard l'infonnation relative aux bénéfices, mais la réaction du marché à cette information a tendance à être marquée, à cause de l'incidence de la taille. En conséquence, les auteurs ont opté dans la présente étude pour une méthode à plusieurs variables permettant de contrôler la taille de l'entreprise dans l'analyse de la relation entre la rapidité de la publication des bénéfices annuels et la réaction du prix de Taction à cette information. Les résultats de l'étude viennent confirmer l'hypothèse selon laquelle, lorsque la taille de l'entreprise n'influe pas, la longueur du délai de publication est en relation inverse avec l'ampleur des réévaluations de prix correspondant à la période de publication. En d'autres termes, des délais plus longs sont associés aux réactions plus mitigées du marché, la taille de l'entreprise étant constante. Certaines informations démontrent que cette relation peut être plus marquée pour la publication de bénéfices qui véhiculent de « mauvaises nouvelles ».

Firms incur restructuring charges as a result of actions intended to improve their operating performance. However, there is little evidence on whether restructuring charges are associated with improved performance. We examine a sample of firms reporting restructuring in 1991‐93 and find that the restructuring firms' earnings increase over the levels immediately before restructuring. Compared with a control sample of firms that report no restructuring, the restructuring firms improve their earnings and operating income, but evidence for improvements in cash flow from operations is mixed. In regression analysis, we find that restructuring charges are significantly positively associated with post‐restructuring changes in earnings relative to the restructuring year, but this association is largely driven by firms with multiple restructurings and firms reporting losses in the restructuring year. We find no association between restructuring charges and post‐restructuring changes in earnings relative to the year before restructuring. Restructuring charges are significantly positively associated with post‐restructuring changes in operating income and cash flow from operations for firms with multiple restructurings. In summary, restructuring charges are associated with improved earnings, but our results suggest that restructuring in the early 1990s did not necessarily guarantee improved operating performance.