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dc.contributor.authorManya, Abwoga Susan
dc.date.accessioned2016-03-02T16:07:33Z
dc.date.available2016-03-02T16:07:33Z
dc.date.issued2015-11
dc.identifier.urihttp://hdl.handle.net/11071/4286
dc.descriptionA research project submitted in partial fulfillment of the requirements for the Degree of Bachelor of Business Science Actuarial at Strathmore Universityen_US
dc.description.abstractThis study focuses on the modeling of the probability of student loan default using certain characteristics of individual students. A generalized linear model is adopted in the rating of students' characteristics to parameterize their significance. Factors to be rated include the type of university attended, the type of loan taken by the student and the period of the course. By determining the probability of default, the amount of loss expected can be detem1ined and thus create reserves to counter the .adverse effects of high student loan defaults.en_US
dc.language.isoenen_US
dc.publisherStrathmore Universityen_US
dc.subjectPredictionen_US
dc.subjectStudenten_US
dc.subjectLoan default ratesen_US
dc.titlePrediction of student loan default ratesen_US
dc.typeOtheren_US


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