Predicting microfinance loan default
Microfinance lending institutions can use the following predictors to avoid bad loans : Marital status (single individuals are more prone to defaults). Time period of loan (longer loans are prone to higher default rate). Interest rate (very high interest rates are likely to resul in loan default).
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2021
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/34530/ http://umpir.ump.edu.my/id/eprint/34530/1/Predicting%20microfinance%20loan%20default.CITREX2021..pdf |
| _version_ | 1848824531552043008 |
|---|---|
| author | Kumar, Senthil Aslam, Mohammad |
| author_facet | Kumar, Senthil Aslam, Mohammad |
| author_sort | Kumar, Senthil |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Microfinance lending institutions can use the following predictors to avoid bad loans : Marital status (single individuals are more prone to defaults). Time period of loan (longer loans are prone to higher default rate). Interest rate (very high interest rates are likely to resul in loan default). |
| first_indexed | 2025-11-15T03:14:31Z |
| format | Conference or Workshop Item |
| id | ump-34530 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:14:31Z |
| publishDate | 2021 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-345302022-06-28T07:01:45Z http://umpir.ump.edu.my/id/eprint/34530/ Predicting microfinance loan default Kumar, Senthil Aslam, Mohammad HD28 Management. Industrial Management T Technology (General) TA Engineering (General). Civil engineering (General) Microfinance lending institutions can use the following predictors to avoid bad loans : Marital status (single individuals are more prone to defaults). Time period of loan (longer loans are prone to higher default rate). Interest rate (very high interest rates are likely to resul in loan default). 2021 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/34530/1/Predicting%20microfinance%20loan%20default.CITREX2021..pdf Kumar, Senthil and Aslam, Mohammad (2021) Predicting microfinance loan default. In: Creation, Innovation, Technology & Research Exposition (CITREX) 2021 , 2021 , Virtually hosted by Universiti Malaysia Pahang. p. 1.. (Published) |
| spellingShingle | HD28 Management. Industrial Management T Technology (General) TA Engineering (General). Civil engineering (General) Kumar, Senthil Aslam, Mohammad Predicting microfinance loan default |
| title | Predicting microfinance loan default |
| title_full | Predicting microfinance loan default |
| title_fullStr | Predicting microfinance loan default |
| title_full_unstemmed | Predicting microfinance loan default |
| title_short | Predicting microfinance loan default |
| title_sort | predicting microfinance loan default |
| topic | HD28 Management. Industrial Management T Technology (General) TA Engineering (General). Civil engineering (General) |
| url | http://umpir.ump.edu.my/id/eprint/34530/ http://umpir.ump.edu.my/id/eprint/34530/1/Predicting%20microfinance%20loan%20default.CITREX2021..pdf |