The impact of income smoothing on earnings quality in emerging markets
Notice bibliographique
Résumé
Purpose – The purpose of this paper is to assess the practice of income smoothing in the Gulf Cooperation Council (GCC) emerging markets; Saudi Arabia, Kuwait, United Arab Emirates, Oman and Qatar. Then, to examine the impact of income smoothing on the earnings quality to decide whether income smoothing can serve as either a tool to enhance earnings quality or a tool for opportunistic behavior. Audit quality and corporate governance as additional factors are considered in this study. Design/methodology/approach – The study methodology measures income smoothing behavior based on the coefficient of variation method. Earnings quality is measured as an outcome of the explained variations in stock returns by earnings based on the efficient market hypothesis. Audit quality is measured based on brand as higher quality assigned to auditor from any of the Big 4, while the corporate governance is addressed based on the extent of governmental ownership. The initial study sample comprises 55 companies over a ten year period, from 1999 to 2008; the final sample represents approximately 64 percent of the industrial sector that have public data during the study. Findings – The results suggest that income smoothing behavior in the GCC markets has many variations in practice. Income smoothing, on average, improves earnings quality in three countries out of four, but not significantly for the whole sample based on earnings level. The earnings changes model demonstrated a positive and significant impact of income smoothing on earnings quality. Audit quality and earnings quality have a positive relationship within the region, and companies dominated by the government perform well in accordance with the earnings-return model. Research limitations/implications – The study is limited to the industrial sector of the GCC. Practical implications – The study opens the door to future applications to other sectors within the GCC, same sectors and other sectors for Middle East countries and other emerging markets. Social implications – The study may foster a better understanding of accounting practices in the GCC and Middle East. The study reveals variations in different aspects among GCC countries, this matter should be considered in separate studies across different areas. Originality/value – The study makes an original contribution to being the first to explore this topic in the GCC. Additionally, this study shows that the GCC markets have different characteristics in the practice and impact of income smoothing on earnings’ quality. Further, audit quality and corporate governance was investigated for each country and for the region, in addition to the interaction between these factors with the income smoothing and earnings quality.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,009 | 0,015 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,003 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».