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

PDF Version Also Available for Download.

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 ... continued below

Physical Description

vii, 125 leaves

Creation Information

Moore, Ronald K. (Ronald Kenneth) December 1987.

Context

This dissertation is part of the collection entitled: UNT Theses and Dissertations and was provided by UNT Libraries to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 80 times . More information about this dissertation can be viewed below.

Who

People and organizations associated with either the creation of this dissertation or its content.

Publisher

Rights Holder

For guidance see Citations, Rights, Re-Use.

  • Moore, Ronald K. (Ronald Kenneth)

Provided By

UNT Libraries

With locations on the Denton campus of the University of North Texas and one in Dallas, UNT Libraries serves the school and the community by providing access to physical and online collections; The Portal to Texas History and UNT Digital Libraries; academic research, and much, much more.

Contact Us

What

Descriptive information to help identify this dissertation. Follow the links below to find similar items on the Digital Library.

Degree Information

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.

Physical Description

vii, 125 leaves

Language

Identifier

Unique identifying numbers for this dissertation in the Digital Library or other systems.

Collections

This dissertation is part of the following collection of related materials.

UNT Theses and Dissertations

Theses and dissertations represent a wealth of scholarly and artistic content created by masters and doctoral students in the degree-seeking process. Some ETDs in this collection are restricted to use by the UNT community.

What responsibilities do I have when using this dissertation?

When

Dates and time periods associated with this dissertation.

Creation Date

  • December 1987

Added to The UNT Digital Library

  • Aug. 22, 2014, 6 p.m.

Description Last Updated

  • March 16, 2016, 10:53 a.m.

Usage Statistics

When was this dissertation last used?

Yesterday: 0
Past 30 days: 2
Total Uses: 80

Where

Geographical information about where this dissertation originated or about its content.

Map Information

  • map marker Automatically generated Place Name coordinates.
  • map marker Automatically generated Publication Place coordinates.
  • Repositioning map may be required for optimal printing.

Mapped Locations

Interact With This Dissertation

Here are some suggestions for what to do next.

Start Reading

PDF Version Also Available for Download.

Citations, Rights, Re-Use

Moore, Ronald K. (Ronald Kenneth). Prediction of Bankruptcy Using Financial Ratios, Information Measures, National Economic Data and Texas Economic Data, dissertation, December 1987; Denton, Texas. (digital.library.unt.edu/ark:/67531/metadc331133/: accessed April 26, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; .