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The purpose of this paper is to provide evidence of the effect of the differences related to reporting inventory, property plant and equipment, intangible assets, and development costs between International Financial Reporting Standards (IFRS) and US Generally Accepted Accounting Principles (US GAAP) companies.

Both univariate tests (t‐tests) and multivariate tests (ANOVA, probit and logit analyses) are used to compare the ratios between IFRS and US GAAP companies.

Results consistently show that IFRS‐country firms have a significantly higher current ratio, a significantly lower asset turnover ratio, and a significantly lower debt‐to‐asset ratio.

This paper only focuses on inventory, property plant and equipment, intangible assets, and development costs. Other financial variables are not considered.

The results are useful for individuals who are interested in reporting and investing in countries using different financial reporting systems.

This paper is a timely examination of the recent emphasis of mandating IFRS.

Provides a useful summary of research on value added (VA) reporting and shows how income statements can be rearranged to show gross or not (of depreciation) VA. Starts with descriptive research on its use in various countries, enumerates its advantages and limitations and goes on to review empirical research on VA firm performance, the informational content of VA (as against conventional) data in market valuation and its predictive ability. Suggests that VA disclosure should be mandatory in the USA and calls for further research on its usefulness.

This study investigates the usefulness of net value added in explaining stock returns of a sample of US firms. The results provide evidence that current and past levels of net value added or current and past levels of changes in net value added are associated with stock returns. A case may be made for the disclosure of value added information by US firms.

Outlines the valuation models of Ohlson (1995) and Feltham and Ohlson (1995), which relate share prices to accounting data, and develops a version which substitutes net value added for earnings. Tests it on 1978‐1995 US data and shows that it is better than the conventional model at explaining price. Recommends that future capital market research should consider net value added as an alternative to earnings for wealth measurement.

This study investigates the time‐series properties of operating cash flows per share and earnings per share for all manufacturing firms on the Compustat Quarterly Industrial tape for which sufficient data are available. Both individually‐identified and “premier” models are compared on the basis of their relative fit and forecasting accuracy. The empirical results suggest that for both accounting variables the individually‐identified models outperform the premier models, although this advantage is larger for earnings, and for forecast horizons beyond one quarter ahead. A major conclusion of the study is that the time‐series properties of cash flows are quite different than those of earnings. In particular, the cash flow series are considerably less predictable, as shown by their relatively high incidence of white‐noise series and relatively large forecast errors.

The purpose of this study is to determine if an earnings forecasting model based on factors hypothesised to result in differential profits across firms (industries) reduces model error relative to the model developed by Ou (1990). Initial research attempting to forecast earnings found that the random walk model, where current year's earnings are the prediction for next year, provides the best forecast of annual earnings (Ball and Watts 1972; Foster 1973; Beaver, Kettler, and Scholes 1970; Albrecht, Lookabill, and McKeown 1977; Brealey 1969). Ou (1990) developed an earnings forecasting model using financial statement information beyond prior years' earnings as the explanatory variables that outperformed the random walk model in predicting annual earnings.