EXAMINING FACTORS INFLUENCING CREDIT RISK AT VIETNAM BANK FOR SOCIAL POLICIES
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Tác giả hoặc Nhóm tác giả: Pham Quang Tin; Tran Thi Nga; Phan Dinh Anh |
Nơi đăng: International Journal of Social Science and Economic Research; ISSN: 2455-8834;; Số: Volume:03, Issue:04 "April 2018";Từ->đến trang: 1679-1696;Năm: 2018 |
Lĩnh vực: Kinh tế; Loại: Bài báo khoa học; Thể loại: Quốc tế |
TÓM TẮT |
The study uses Binary Logistics regression model to measure the influence of factors on credit risk at Vietnam Bank for Social Policies. The findings prove the impacts on credit risk of the following factors: demographic characteristics, job characteristics, loan characteristics and some factors inside the bank. The research results provide an empirical evidence for managers of Vietnam Bank for Social Policies to make appropriate lending decisions and policies to reduce credit risk.
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ABSTRACT |
The study uses Binary Logistics regression model to measure the influence of factors on credit risk at Vietnam Bank for Social Policies. The findings prove the impacts on credit risk of the following factors: demographic characteristics, job characteristics, loan characteristics and some factors inside the bank. The research results provide an empirical evidence for managers of Vietnam Bank for Social Policies to make appropriate lending decisions and policies to reduce credit risk.
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