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O. Moses (1991)
Cash flow signals and analysts' earnings forecast revisionsJournal of Business Finance & Accounting, 18
R. Greenberg, G. Johnson, K. Ramesh (1986)
Earnings versus Cash Flow as a Predictor of Future Cash Flow MeasuresJournal of Accounting, Auditing & Finance, 1
P. Wilson (1987)
THE INCREMENTAL INFORMATION CONTENT OF THE ACCRUAL AND FUNDS COMPONENTS OF EARNINGS AFTER CONTROLLING FOR EARNINGS, 62
R. Bowen, D. Burgstahler, L. Daley, M. Robert (1986)
EVIDENCE ON THE RELATIONSHIPS BETWEEN EARNINGS AND VARIOUS CASH FLOW MEASURES, 61
Gombola Gombola, Ketz Ketz (1983)
A note on cash flow and classification patterns of financial ratiosThe Accounting Review, 58
J. Gentry, P. Newbold, D. Whitford (1985)
CLASSIFYING BANKRUPT FIRMS WITH FUNDS FLOW COMPONENTSJournal of Accounting Research, 23
Cornelius Casey, Norman Bartczak (1985)
Using Operating Cash Flow Data to Predict Financial Distress: Some ExtensionsJournal of Accounting Research, 23
Majella Percy, Donald Stokes (1992)
Further Evidence on Empirical Relationships Between Earnings and Cash FlowsAccounting and Finance, 32
J. Livnat, Paul Zarowin (1990)
The incremental information content of cash-flow componentsJournal of Accounting and Economics, 13
V. Bernard, T. Stober (1989)
THE NATURE AND AMOUNT OF INFORMATION IN CASH FLOWS AND ACCRUALS, 64
Greenberg Greenberg, Johnson Johnson, Ramesh Ramesh (1986)
Earnings versus cash flow as a predictor of future cash flow measures, Journal of AccountingAuditing and Finance, 4
T. Schaefer, Michael Kennelley (1986)
Alternative Cash Flow Measures and Risk-Adjusted ReturnsJournal of Accounting, Auditing & Finance, 1
Stephen Thode, R. Drtina, James Largay (1986)
Operating Cash Flows: A Growing Need for Separate ReportingJournal of Accounting, Auditing & Finance, 1
M. Robert, B. David, A. Lane (1987)
THE INCREMENTAL INFORMATION CONTENT OF ACCRUAL VERSUS CASH FLOWS, 62
G. Wilson (1986)
THE RELATIVE INFORMATION-CONTENT OF ACCRUALS AND CASH FLOWS - COMBINED EVIDENCE AT THE EARNINGS ANNOUNCEMENT AND ANNUAL-REPORT RELEASE DATEJournal of Accounting Research, 24
Neill Neill, Schaefer Schaefer, Bahnson Bahnson, Bradbury Bradbury (1991)
The usefulness of cash flow data: A review and synthesisJournal of Accounting Literature, 10
Moses Moses (1991)
Cash flow signals and analysts' earnings forecast revisionsFinancial Accounting and Management, 7
Bowen Bowen, Burgstahler Burgstahler, Daley Daley (1986)
Evidence on the relationships between earnings and various measures of cash flowThe Accounting Review, 61
Drtina Drtina, Largay Largay (1985)
Pitfalls in calculating cash flow from operationsThe Accounting Review, 60
Linear regression models are used in a number of studies examining the presence or absence of incremental information content in cash flows. The results of these studies are not consistent. This paper provides evidence of the impact that extreme observations can exert on parameter estimates in a regression model. Two techniques commonly used to address the problem of extreme observations are considered. These techniques, winsorising the data and trimming the data, are compared to a regression diagnostic technique, Cook's distance. The comparison of these techniques provides evidence that the choice of technique can determine the significance or otherwise of regression results. This paper concludes that the inconsistency in reported results examining the incremental information content in cash flows may be attributed to the techniques adopted to address the issue of extreme observations.
Accounting & Finance – Wiley
Published: Nov 1, 1997
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