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Credit scoring model enhancement for personal bankruptcy prediction in Malaysia: towards achieving debt sustainability / Aqilah Nadiah Md. Sahiq

Generally, the idea of getting bankrupt never crosses our minds, but being declared bankrupt can happen to anyone with some form of debt. Several critical issues warrant great attention such as the prevalence of personal bankruptcy incidence, high enrolment in the Debt Management Program (DMP), and...

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Main Author: Md. Sahiq, Aqilah Nadiah
Format: Thesis
Language:English
Published: 2023
Online Access:https://ir.uitm.edu.my/id/eprint/82951/1/82951.pdf
https://ir.uitm.edu.my/id/eprint/82951/
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spelling my.uitm.ir.829512024-01-08T08:54:14Z https://ir.uitm.edu.my/id/eprint/82951/ Credit scoring model enhancement for personal bankruptcy prediction in Malaysia: towards achieving debt sustainability / Aqilah Nadiah Md. Sahiq Md. Sahiq, Aqilah Nadiah Generally, the idea of getting bankrupt never crosses our minds, but being declared bankrupt can happen to anyone with some form of debt. Several critical issues warrant great attention such as the prevalence of personal bankruptcy incidence, high enrolment in the Debt Management Program (DMP), and high debt service ratio (>30%) among Malaysians. These indicate that many Malaysians are in financial distress, lack financial preparedness, and are in high need of debt repayment assistance. If these issues are left unaddressed, they may lead to many Malaysians going into bankruptcy. These key issues underscore the importance of developing an efficient credit scoring model to address the concern that majority of Malaysians are in financial distress. In this context, the objectives of this study are to identify the key determinants capable of predicting the likelihood of personal bankruptcy in the future, develop personal bankruptcy credit scoring models, and compare the models’ performance. This study focused on microeconomic indicators using 31,200 samples of the DMP dataset for a period between 2016 to 2020. Using RapidMiner software, the methodology for this study consisted of the application of logistic regression (LR) and support vector machine (SVM) models through the adoption of Cross-Industry Standard Process for Data Mining (CRISP-DM) framework. 2023 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/82951/1/82951.pdf Credit scoring model enhancement for personal bankruptcy prediction in Malaysia: towards achieving debt sustainability / Aqilah Nadiah Md. Sahiq. (2023) PhD thesis, thesis, Universiti Teknologi MARA (UiTM).
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
description Generally, the idea of getting bankrupt never crosses our minds, but being declared bankrupt can happen to anyone with some form of debt. Several critical issues warrant great attention such as the prevalence of personal bankruptcy incidence, high enrolment in the Debt Management Program (DMP), and high debt service ratio (>30%) among Malaysians. These indicate that many Malaysians are in financial distress, lack financial preparedness, and are in high need of debt repayment assistance. If these issues are left unaddressed, they may lead to many Malaysians going into bankruptcy. These key issues underscore the importance of developing an efficient credit scoring model to address the concern that majority of Malaysians are in financial distress. In this context, the objectives of this study are to identify the key determinants capable of predicting the likelihood of personal bankruptcy in the future, develop personal bankruptcy credit scoring models, and compare the models’ performance. This study focused on microeconomic indicators using 31,200 samples of the DMP dataset for a period between 2016 to 2020. Using RapidMiner software, the methodology for this study consisted of the application of logistic regression (LR) and support vector machine (SVM) models through the adoption of Cross-Industry Standard Process for Data Mining (CRISP-DM) framework.
format Thesis
author Md. Sahiq, Aqilah Nadiah
spellingShingle Md. Sahiq, Aqilah Nadiah
Credit scoring model enhancement for personal bankruptcy prediction in Malaysia: towards achieving debt sustainability / Aqilah Nadiah Md. Sahiq
author_facet Md. Sahiq, Aqilah Nadiah
author_sort Md. Sahiq, Aqilah Nadiah
title Credit scoring model enhancement for personal bankruptcy prediction in Malaysia: towards achieving debt sustainability / Aqilah Nadiah Md. Sahiq
title_short Credit scoring model enhancement for personal bankruptcy prediction in Malaysia: towards achieving debt sustainability / Aqilah Nadiah Md. Sahiq
title_full Credit scoring model enhancement for personal bankruptcy prediction in Malaysia: towards achieving debt sustainability / Aqilah Nadiah Md. Sahiq
title_fullStr Credit scoring model enhancement for personal bankruptcy prediction in Malaysia: towards achieving debt sustainability / Aqilah Nadiah Md. Sahiq
title_full_unstemmed Credit scoring model enhancement for personal bankruptcy prediction in Malaysia: towards achieving debt sustainability / Aqilah Nadiah Md. Sahiq
title_sort credit scoring model enhancement for personal bankruptcy prediction in malaysia: towards achieving debt sustainability / aqilah nadiah md. sahiq
publishDate 2023
url https://ir.uitm.edu.my/id/eprint/82951/1/82951.pdf
https://ir.uitm.edu.my/id/eprint/82951/
_version_ 1787525202973818880
score 13.223943

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