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Impacts of the borrower's attributes,loan contract contents,and collateral characteristics on mortgage loan default
Authors:Tyrone T. Lin  Chia-Chi Lee  Chun-Hung Chen
Affiliation:1. Department of International Business , National Dong Hwa University , 1, Section 2, Da-Hsueh Road, Shou-Feng, Hualien, 974, Taiwan, Republic of China tjlin@mail.ndhu.edu.tw;3. Department of Accounting Information , National Taipei College of Business , 321, Section 1, Jinan Road, Zhongzheng District, Taipei, 100, Taiwan, Republic of China;4. Department of International Business , National Dong Hwa University , 1, Section 2, Da-Hsueh Road, Shou-Feng, Hualien, 974, Taiwan, Republic of China
Abstract:
This paper explores the factors influencing mortgage loan default and default probability by using the data from the mortgage loans of a case financial institution. The results indicate that the borrower's gender, the borrower's job position, whether the regional codes of the borrower's present residence and registered permanent residence are the same, the degree of relationship between the borrower and the guarantor, the loan-to-value ratio, the use status of collateral, and the located region of collateral are significantly positively correlated with the default probability. However, the education degree and the loan amount are significantly negatively correlated with the default probability.
Keywords:mortgage loan  credit risk  default probability  logistic regression model
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