The effects of firm growth and model specification choices on tests of earnings management in quaterly settings Daniel W. Collins, Raunaq S. Pungaliya & Anand M. Vijh
Tipo de material: ArtículoDescripción: Páginas 69 a la 100Tema(s): En: The accounting review 2017 V.92 No.2 (Mar)Incluye figuras, tablas, referencias bibliográficas y apéndicesResumen: Commonly used Jones-type discretionary accrual models applied in quarterly settings do not adequately control for nondiscretionary working capital accruals that naturally occur due to firm growth. This biases tests of earnings management in many settings where the partitioning variable is correlated with firm growth (such as stock splits, SEOs, stock acquisitions, and stock-based compensation). We show that there is a severe problem of falsely rejecting the null hypothesis of no earnings management in samples over-represented by high growth or low growth firms when using performance-adjusted discretionary accruals. In contrast, discretionary accrual models that control for both performance and firm growth are well specified and do not sacrifice power. Including adjustments for accruals’ noise reduction and timely loss recognition roles further improves the model power.Tipo de ítem | Biblioteca actual | Colección | Signatura topográfica | Info Vol | Copia número | Estado | Fecha de vencimiento | Código de barras | |
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Revistas | Central Bogotá Sala Hemeroteca | Colección Hemeroteca | 657 (Navegar estantería(Abre debajo)) | 2017 V.92 No.2 (Mar) | 1 | Disponible | 0000002032282 |
Commonly used Jones-type discretionary accrual models applied in quarterly settings do not adequately control for nondiscretionary working capital accruals that naturally occur due to firm growth. This biases tests of earnings management in many settings where the partitioning variable is correlated with firm growth (such as stock splits, SEOs, stock acquisitions, and stock-based compensation). We show that there is a severe problem of falsely rejecting the null hypothesis of no earnings management in samples over-represented by high growth or low growth firms when using performance-adjusted discretionary accruals. In contrast, discretionary accrual models that control for both performance and firm growth are well specified and do not sacrifice power. Including adjustments for accruals’ noise reduction and timely loss recognition roles further improves the model power.