000			01949nab a2200205 a 4500
999			_c199163 _d199163
003			OSt
005			20200226101949.0
008			191203s2018 xxubr|||r|||| 00| 0 eng d
040			_aCO-BoUGC _cCO-BoUGC
100	1		_aFrankel, Richard M. _9176457
245	1	0	_aPredicting accruals based on cash-flow properties _cRichard M. Frankel & Yan Sun
300			_aPáginas 165 a la 186
520	3		_aOur goal is to understand the extent to which cash-flow properties explain accruals. Using the Dechow, Kothari, and Watts (1998) model, we derive a negative relation between accruals and cash-flow changes, and show that the strength of the relation is linked to negative serial correlation in cash-flow changes. Dechow et al. (1998) also suggest that the strength of the relation between accruals and revenue changes relates to operating cycle length. Prior accrual models have not incorporated these theoretical relations. We show that incorporating cash-flow changes, serial correlation in cash-flow changes, and operating cycle length increases explanatory power of all accrual models considered (i.e., Jones 1991; Ball and Shivakumar 2006; McNichols 2002; Jeter and Shivakumar 1999). We find that incorporating these variables in accrual models also improves specification and power, aids detection of earnings management in AAER firms, and produces a nondiscretionary accrual estimate that better predicts future cash flows and earnings. These results suggest the importance of considering the economic role of accruals when predicting accruals.
650	1	4	_991036 _aContabilidad _vPublicaciones seriadas
650	2	4	_aAdministración de caja _vPublicaciones seriadas _9176458
690			_aBase acumulada (Contabilidad) _9176459
700	1		_aSun, Yan _9176460
773	0		_082265 _9380103 _aThe accounting review 2018 V.93 No.5 (Sep) _o0000002033002 _x0001-4826 (papel) _h22 páginas _nIncluye tablas y referencias bibliográficas
942			_2ddc _cART