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The Effects of Legal Environment on Voluntary Earnings Forecasts in the U.S. versus Canada

2005· article· en· W1520196410 sur OpenAlexaboutno aff
Ronald A. Stunda

Notice bibliographique

RevueJournal of Legal Ethical and Regulatory Issues · 2005
Typearticle
Langueen
DomaineBusiness, Management and Accounting
ThématiqueAuditing, Earnings Management, Governance
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésEarningsVoluntary disclosureIncentiveBusinessTurnoverProductivityAccountingEconomicsActuarial scienceMicroeconomicsManagement
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

ABSTRACT Past research documents managers' reluctance to issue voluntary earnings forecasts in part due to legal considerations. Since Canadian laws create a less litigious environment than those of the U.S., this study finds that when the two environments are compared, Canadian managers issue voluntary earnings forecasts more frequently across the board. In addition, the Canadian forecasts tend to be more precise than those of their American counterparts. INTRODUCTION Prior research in the study of voluntary earnings disclosures finds that managers release information that is unbiased relative to subsequently revealed earnings and that tends to contain more bad news than good news [Baginski et al.(1994), and Frankel (1995)]. Such releases are also found to contain information content [Patell (1976), Waymire (1984), and Pownell and Waymire (1989)]. Although forecast release is costly, credible disclosure will occur if sufficient incentives exist. These incentives include bringing investor/manager expectations in line [Ajinkya and Gift (1984)], removing the need for expensive sources of additional information [Diamond (1985)], reducing the cost of capital to the firm [Diamond and Verrechia (1987)], and reducing potential lawsuits [Lees (1981)]. More recently, studies show that managers are more likely to issue voluntary forecasts in a less litigious environment [Frost (2001)], [Johnson et al, (2002], while another [Baginski et al. (2002)] indicates that there are legal environment differences between the U.S. and Canada in issuing earnings forecasts when smaller size firms are evaluated. My research extends the aforementioned studies by evaluating U. S. and Canadian firms of all sizes and over a more extended period. The research question becomes: Do Canadian firms issue voluntary earnings forecasts with greater regularity than U.S. firms and which forecasts exhibit greater accuracy? Clarkson and Simunic (1994) note that unlike the U.S., courts in Canada generally require unsuccessful plaintiffs to pay the costs of a successful defendant. Also, because plaintiffs have no absolute right to a jury trial in Canada, judges hear technical cases and are less likely to award large settlements. In addition, Canadian provinces do not permit trial lawyers to work on a contingency basis. Also, it is much more difficult to bring a class action suit in Canada. All of these differences in the legal systems create a natural environment in which voluntary earnings releases may be perceived differently. HYPOTHESIS DEVELOPMENT Three hypotheses are tested. First, King et al (1990) finds that forward-looking information disclosure in the U.S. increases the firm's exposure to legal liability. It is, in part, for this reason that many U.S. firms have exhibited a reluctance to issue voluntary forecasts on a consistent and ongoing basis. The first hypothesis, stated in the alternative form is: H1: Canadian firms, faced with a less-litigious legal environment, engage in more voluntary earnings forecasts relative to U.S. firms. The second hypothesis, also stated in the alternative form, relates to previous studies that indicate U.S. firms are less likely to issue voluntary forecasts during good news periods for fear of litigation: H2: Canadian firms, faced with a less-litigious legal environment, engage in voluntary forecast releases that are less-related to earnings than U.S. firms. The third hypothesis, stated in the alternative form, centers around the notion that as voluntary forecast are made with greater frequency, they also tend to exhibit greater accuracy over the long term: H3: Canadian firms engage in more precise forecasting of earnings information. RESEARCH DESIGN The sample consists of all quarterly and annual estimates made during the period 1983-2003 meeting the following criteria: 1) The voluntary earnings forecast was recorded by the Dow Jones News Retrieval Service (DJNRS). …

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,629
Score d'incertitude au seuil0,992

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,005
Tête enseignante GPT0,208
Écart entre enseignants0,202 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2005
Routes d'admission1
Résumé présentoui

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