What question did this study set out to answer?

The aim is to critique the flawed method of calculating ROI using normality assumptions and to suggest better methodologies.

Probabilistic Approaches to Return on Investment and Residual Income: A Comment.

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Comment highlights erroneous ROI computation methods and proposes improved probability intervals using new transformations.

The aim is to critique the flawed method of calculating ROI using normality assumptions and to suggest better methodologies.
Analyzed the proposed method by Ferrara for computing ROI metrics.
Critically evaluated the application of normality assumptions in ROI calculations.
Recommended the use of the Geary transformation with standard normal values for accuracy.
Introduced Taylor series approximations for estimating mean and standard deviation.
Identified inaccuracies in the original ROI calculations based on normality.
Proposed a more reliable method involving the Geary transformation.
Demonstrated improved estimation of ROI metrics with Taylor series approximations.

Chan et al. (1979) studied this question.

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