Volume 24, Issue 6 pp. 781-802
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A Simulation-Based Investigation of Errors in Accounting-Based Surrogates for Internal Rate of Return

Steven R. Fritsche

Steven R. Fritsche

Assistant Professor of Accounting, The Catholic University of America,

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Michael T. Dugan

Michael T. Dugan

Professor of Accountancy and Arthur Andersen Faculty Fellow, University of Alabama

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First published: 04 March 2003
Citations: 2

Abstract

Accounting-based measures of a firm's ex post performance represent accessible, albeit imperfect, surrogates for its internal rate of return (IRR). Using a cross-sectional data set obtained via computer simulation, this study calculated the error with which the accounting rate of return (ARR) and conditional estimate of internal rate of return (CIRR) estimate IRR. The study compared the error with which both surrogates measure IRR, as well as the ability of growth in unit demand (gD), inventory cost flow assumption (INV) and depreciation method (DEP) to explain the measurement error in both surrogates.

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