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a Multivariate time-series prediction model for cash-flow data
This paper provides evidence on the time-series properties and predictive ability of cash-flow data. It employs a sample of firms on which the accuracy of one-step-ahead cash-flow predictions is assessed during the 1989-1991 holdout period. We develop a new multivariate, time-series prediction model that employs past values of earnings, short-term accruals and cash-flows as independent variables in a time-series regression. Our predictive results indicate that this model clearly outperforms firm-specific and common-structure ARIMA models as well as a multivariate, cross-sectional regression model popularized in the literature. These findings are robust across alternative cash-flow metrics (e.g., levels, per-share, and deflated by total assets) and are consistent with the viewpoint espoused by the FASB that cash-flow prediction is enhanced by consideration of earnings and accrual accounting data.
Ketersediaan
| Call Number | Location | Available |
|---|---|---|
| AR7101 | PSB lt.dasar - Pascasarjana | 1 |
| Penerbit | USA: American Accounting Association 1996 |
|---|---|
| Edisi | Vol. 71, No. 1, Jan., 1996 |
| Subjek | Accrual accounting Arima models cash-flow prediction multivariate regression FASB Standards |
| ISBN/ISSN | 00014826 |
| Klasifikasi | NONE |
| Deskripsi Fisik | 22 p. |
| Info Detail Spesifik | The Accounting Review |
| Other Version/Related | Tidak tersedia versi lain |
| Lampiran Berkas |