Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/114676 
Year of Publication: 
1994
Citation: 
[Journal:] Journal of Small Business Finance [ISSN:] 1057-2287 [Volume:] 3 [Issue:] 3 [Publisher:] JAI Press [Place:] Greenwich, CT [Year:] 1994 [Pages:] 199-214
Publisher: 
JAI Press, Greenwich, CT
Abstract: 
This paper reports an exploratory study of statistical modelling of historical financial reporting and analysis in a sample of small growth enterprises. The study sought to identify those factors that determine whether particular financial reporting and analysis practices are undertaken, and to represent these explanatory factors in expressions that reflect their relative and combined influence. Dichotomous logistic regression is employed to model financial analysis and polytomous logistic regression is used to model financial reporting. The models developed seem moderately encouraging in terms of the statistical significance and predictive ability. The overall classification success for financial analysis is a modest 65 percent; but identifying users of financial ratio analysis is achieved with just below 90 percent accuracy. The overall classification success for a trichotomous financial reporting scale exceeds 70 percent; with anticipation of financial reporting at the highest level being as accurate as 90 percent. External validation of the models remains an important priority.
Subjects: 
Financial Reporting
Small Growth
Low Growth
JEL: 
L25
G32
Document Type: 
Article

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