A proposed quantitative credit-rating methodology for South African provincial departments
South African Journal of Economic and Management Sciences
| Field | Value | |
| Title | A proposed quantitative credit-rating methodology for South African provincial departments | |
| Creator | Fourie, Erika Verster, Tanja van Vuuren, Gary Wayne | |
| Description | The development of subnational credit-rating methodologies affords benefits for subnationals, the sovereign and its citizens. Trusted credit ratings facilitate access to financial markets and above-average ratings allow for the negotiation of better collateral and guarantee agreements, as well as for funding of, for example, infrastructure projects at superior (lower) interest rates. This paper develops the quantitative section of a credit-rating methodology for South African subnationals. The unique characteristics of South African data, their assembly, and the selection of dependent and independent variables for the linear-regression model chosen, are discussed. The methodology is then applied to the provincial Department of Health using linear regression modelling. | |
| Publisher | AOSIS Publishing | |
| Date | 2016-05-13 | |
| Identifier | 10.4102/sajems.v19i2.1260 | |
| Source | South African Journal of Economic and Management Sciences; Vol 19, No 2 (2016); 192-214 2222-3436 1015-8812 | |
| Language | eng | |
| Relation |
The following web links (URLs) may trigger a file download or direct you to an alternative webpage to gain access to a publication file format of the published article:
https://sajems.org/index.php/sajems/article/view/1260/618
https://sajems.org/index.php/sajems/article/downloadSuppFile/1260/478
https://sajems.org/index.php/sajems/article/downloadSuppFile/1260/479
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