UNT Theses and Dissertations - 2 Matching Results

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The Origination and Evolution of Double-Entry Bookkeeping to 1440

Description: The problem of this investigation is that of determining how double entry bookkeeping originated and evolved during the thirteenth, fourteenth and fifteenth century in mediaeval Italy and its influence on capital formation. The methodology of this study included the use of both primary and secondary sources of information. Great reliance was placed upon a direct examination of original documents found mainly in the State Archives of Genoa, Florence, Milan and Venice. Because this is basically a historical research, particular emphasis was given to the study and criticism of economic, political and religious conditions that most likely had a considerable influence on the creation and evolution of bookkeeping techniques and methods.
Date: May 1974
Creator: Martinelli, Alvaro
Partner: UNT Libraries

Prediction of Bankruptcy Using Financial Ratios, Information Measures, National Economic Data and Texas Economic Data

Description: The main purpose of this study is to develop a bankruptcy prediction model for the small business firm. Data was collected from the Dallas Small Business Administration (SBA), making this study specific to its decision makers. Existing research has produced models which predominately use financial ratios and information measures either independently or combined, and a few research models have used economic trends. This study varies from past studies in that it includes regional economic variables from the states of Texas. A sample of three-year data for 138 firms included fifteen bankrupt firms. This proportion of bankrupt/nonbankrupt firms approximates the proportion of repayed/defaulted loans in the SBA. Stepwise regression, set at the .15 level of significance, reduced a total of fifty-three variables to nine. These nine variables were then used to test twelve predictive models. All twelve models tested improved the SBA repayment rate and only two of the twelve would have caused the SBA to deny loans to applicants who eventually repaid. The study determined the model that included financial ratios, information measures, and Texas economic variables as best. It was also demonstrated that some of the variables used in this model could be eliminated without decreasing the predictive power of the model. The best of twelve models improved the SBA default rate by 40 percent without denying a loan to any applicant that eventually repaid.
Date: December 1987
Creator: Moore, Ronald K. (Ronald Kenneth)
Partner: UNT Libraries