Effect of loan value and collateral on value of mortgage default
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://ciencia.iscte-iul.pt/public/pub/id/12632 http://hdl.handle.net/10071/11799 |
Resumo: | This study explore the factors influencing mortgage loan default by using the data of mortgage default case from Jammu and Kashmir Bank. To achieve the study objectives sixteen variables are taken. The variables are categorized into three dimensions as borrower’s profile, loan value contents and collateral security. The tools used for analysis of data describing mortgage loan defaulter’s are chi-square, regression, ANOVA, and logistic regression through SPSS 18.0. The results indicate that the borrower’s gender, borrower’s age, borrower’s marital status, the borrower’s income, loan rate, loan type, loan amount, amount repaid, LTV, LTI, form of collateral security, Value of collateral security, purpose of loan and secondary finance on collateral security are significantly positively correlated with the defaulter’s outstanding loan amount. While as education qualification of borrower is significantly negatively correlated with defaulter’s outstanding loan amount. Logistic regression results indicate that income, secondary finance on collateral security and interest rate are mainly responsible for mortgage default. |
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Effect of loan value and collateral on value of mortgage defaultMortgage defaultLoan value contentsCollateralLTVLTILogistic regressionThis study explore the factors influencing mortgage loan default by using the data of mortgage default case from Jammu and Kashmir Bank. To achieve the study objectives sixteen variables are taken. The variables are categorized into three dimensions as borrower’s profile, loan value contents and collateral security. The tools used for analysis of data describing mortgage loan defaulter’s are chi-square, regression, ANOVA, and logistic regression through SPSS 18.0. The results indicate that the borrower’s gender, borrower’s age, borrower’s marital status, the borrower’s income, loan rate, loan type, loan amount, amount repaid, LTV, LTI, form of collateral security, Value of collateral security, purpose of loan and secondary finance on collateral security are significantly positively correlated with the defaulter’s outstanding loan amount. While as education qualification of borrower is significantly negatively correlated with defaulter’s outstanding loan amount. Logistic regression results indicate that income, secondary finance on collateral security and interest rate are mainly responsible for mortgage default.ExcellingTech Publisher2016-07-19T12:22:29Z2013-01-01T00:00:00Z20132016-07-19T12:21:23Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://ciencia.iscte-iul.pt/public/pub/id/12632http://hdl.handle.net/10071/11799eng2047-0916Itoo, R. A.Selvarasu, A.Filipe, J.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-09T17:27:31Zoai:repositorio.iscte-iul.pt:10071/11799Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:12:16.237419Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Effect of loan value and collateral on value of mortgage default |
title |
Effect of loan value and collateral on value of mortgage default |
spellingShingle |
Effect of loan value and collateral on value of mortgage default Itoo, R. A. Mortgage default Loan value contents Collateral LTV LTI Logistic regression |
title_short |
Effect of loan value and collateral on value of mortgage default |
title_full |
Effect of loan value and collateral on value of mortgage default |
title_fullStr |
Effect of loan value and collateral on value of mortgage default |
title_full_unstemmed |
Effect of loan value and collateral on value of mortgage default |
title_sort |
Effect of loan value and collateral on value of mortgage default |
author |
Itoo, R. A. |
author_facet |
Itoo, R. A. Selvarasu, A. Filipe, J. |
author_role |
author |
author2 |
Selvarasu, A. Filipe, J. |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Itoo, R. A. Selvarasu, A. Filipe, J. |
dc.subject.por.fl_str_mv |
Mortgage default Loan value contents Collateral LTV LTI Logistic regression |
topic |
Mortgage default Loan value contents Collateral LTV LTI Logistic regression |
description |
This study explore the factors influencing mortgage loan default by using the data of mortgage default case from Jammu and Kashmir Bank. To achieve the study objectives sixteen variables are taken. The variables are categorized into three dimensions as borrower’s profile, loan value contents and collateral security. The tools used for analysis of data describing mortgage loan defaulter’s are chi-square, regression, ANOVA, and logistic regression through SPSS 18.0. The results indicate that the borrower’s gender, borrower’s age, borrower’s marital status, the borrower’s income, loan rate, loan type, loan amount, amount repaid, LTV, LTI, form of collateral security, Value of collateral security, purpose of loan and secondary finance on collateral security are significantly positively correlated with the defaulter’s outstanding loan amount. While as education qualification of borrower is significantly negatively correlated with defaulter’s outstanding loan amount. Logistic regression results indicate that income, secondary finance on collateral security and interest rate are mainly responsible for mortgage default. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-01-01T00:00:00Z 2013 2016-07-19T12:22:29Z 2016-07-19T12:21:23Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://ciencia.iscte-iul.pt/public/pub/id/12632 http://hdl.handle.net/10071/11799 |
url |
https://ciencia.iscte-iul.pt/public/pub/id/12632 http://hdl.handle.net/10071/11799 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2047-0916 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
ExcellingTech Publisher |
publisher.none.fl_str_mv |
ExcellingTech Publisher |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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