Debt Collection Optimization: Commercial Bank of Ethiopia’s case

dc.contributor.advisorTeklu, Tilahun (PhD)
dc.contributor.authorGirma, Benyam
dc.date.accessioned2018-06-18T07:52:36Z
dc.date.accessioned2023-11-18T09:51:15Z
dc.date.available2018-06-18T07:52:36Z
dc.date.available2023-11-18T09:51:15Z
dc.date.issued2015-02
dc.description.abstractThis thesis develops and analyzes a finite horizon Markov decision process model for commercial bank of Ethiopia’s debt collection optimization problem. Two sectors namely domestic trade and services (DTS) and foreign trade (FT) have been studied primarily because of loan turnover rates and economic policy focus. A 2 years long data are used to determine cost of holding an outstanding loan in a certain state or delinquency status on a log scale where each state/status is scaled by the percentage of provision allocated to the states. Conclusions are made in terms of which loan segments banks need treat with more caution. Simple but important suggestions on ways of improving the operations of banks are made in the end.en_US
dc.identifier.urihttp://etd.aau.edu.et/handle/12345678/1179
dc.language.isoenen_US
dc.publisherAddis Ababa Universityen_US
dc.subjectComputationalen_US
dc.titleDebt Collection Optimization: Commercial Bank of Ethiopia’s caseen_US
dc.typeThesisen_US

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