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A Behavioral Study of the Usefulness of Four Financial Ratios

Journal of Accounting Research 1975 13(1), 97
Altman, 1968; Beaver, 1966; Daniel, 1969; Deakin, 1972; and Horrigan, 1966 have researched the usefulness of financial ratio information.' These authors defined usefulness as predictive ability.2 Predictive ability was measured by determining the statistical predictive relationship between financial ratios and some specified real world phenomenon, e.g., bankruptcy (Altman), business failure (Beaver, Daniel and Deakin) and long-term credit standing (Horrigan). In contrast, this study works with experienced bank personnel using financial ratios to make subjective predictions of bankruptcy.3 This research views bank credit evaluation as a probabilistic information processing problem. Bayes' theorem is used as a model of human information processing for this problem. The set of uncertain events consists of bankruptcy and nonbankruptcy. The items of information are financial ratios.4

A Statistical Technique for Analytical Review

Journal of Accounting Research 1975 13, 1
As a background for the subject of this paper I will present several quotations from section 320 of the Statement on Auditing Standards No. 1 (henceforth SAS No. 1), which was issued in November 1972 by the Committee on Auditing Procedure of the American Institute of Certified Public Accountants. This Committee was the predecessor of the present Auditing Standards Executive Committee and SAS No. 1 was its final pronouncement. SAS No. 1 is a codification of previous Statements on Auditing Procedure (SAPs) Nos. 33 through 54, and No. 33 in turn was a codification of prior Statements. Section 320 of SAS No. 1 is primarily a codification of SAP No. 54, which included as an appendix a report issued by the AICPA Committee on Statistical Sampling in July 1964.1 subject of section 320 is The Auditor's Study and Evaluation of Internal Control, but the last major topic in the section deals with the correlation of such evaluation with other auditing procedures. I believe that section, together with the two related appendixes, provides the most concise but complete statement of the broad conceptual framework for auditing that is presently available in official pronouncements. Many of the concepts expressed in that section are readily adaptable to restatement in the form of partial or complete mathematical models and to application by means of statistical methodology, which is the general theme of this conference. It is for these reasons that I draw on this source to provide perspective for the subject of this paper.