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The relation between earnings and cash flows
Open accessAbstract
A model of earnings, cash flows and accruals is developed assuming a random walk sales process, variable and fixed costs, and that the only accruals are accounts receivable and payable, and inventory. The model implies earnings better predict future operating cash flows than current operating cash flows and the difference varies with the operating cash cycle. Also, the model is used to predict serial and cross-correlations of each firm's series. The implications and predictions are tested on a 1337 firm sample over 1963–1992. Both earnings and cash flow forecast implications and correlation predictions are generally consistent with the data.
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Citations
Cited by
Healy, P. M., & Palepu, K. G. (2001) · Journal of Accounting and Economics · doi:10.1016/s0165-4101(01)00018-0 · Cited by 8,097
How does financial reporting quality relate to investment efficiency?
Biddle, G. C., Hilary, G., & Verdi, R. S. (2009) · Journal of Accounting and Economics · doi:10.1016/j.jacceco.2009.09.001 · Cited by 3,214
Earnings quality in UK private firms: comparative loss recognition timeliness
Ball, R., & Shivakumar, L. (2005) · Journal of Accounting and Economics · doi:10.1016/j.jacceco.2004.04.001 · Cited by 2,372
Healy, P. M., & Palepu, K. (2001) · SSRN Electronic Journal · doi:10.2139/ssrn.258514 · Cited by 2,097
The Quality of Accruals and Earnings: The Role of Accrual Estimation Errors
Dichev, I. D., & Dechow, P. M. (2001) · SSRN Electronic Journal · doi:10.2139/ssrn.277231 · Cited by 1,119
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Metadata
- Authors
- Dechow, P. M., Kothari, S. P., & L. Watts, R.
- Venue
- Journal of Accounting and Economics
- Publisher
- Elsevier BV
- Published
- 1998-05
- Volume
- 25
- Issue
- 2
- Pages
- 133-168
- ISSN
- 0165-4101 (ISSN-L)
- OpenAlex
- W2074531150
- Cited by
- 1,551
- References
- 0
- FWCI
- 39.45
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Dechow, P. M., Kothari, S. P., & L. Watts, R. (1998). The relation between earnings and cash flows. Journal of Accounting and Economics. https://doi.org/10.1016/s0165-4101(98)00020-2
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.