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
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id	my-uitm-ir.82951
record_format	uketd_dc
spelling	my-uitm-ir.829512024-01-08T08:54:14Z Credit scoring model enhancement for personal bankruptcy prediction in Malaysia: towards achieving debt sustainability / Aqilah Nadiah Md. Sahiq 2023 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 https://ir.uitm.edu.my/id/eprint/82951/ https://ir.uitm.edu.my/id/eprint/82951/1/82951.pdf text en public phd doctoral Universiti Teknologi MARA (UiTM) Faculty of Business and Management Ismail, Shafinar
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Ismail, Shafinar
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
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
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
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Business and Management
publishDate	2023
url	https://ir.uitm.edu.my/id/eprint/82951/1/82951.pdf
_version_	1794191955509379072

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

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