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住房按揭贷款逾期风险识别与管理研究——基于借款人学历视角的实证检验
引用本文:王先柱,吴义东,吴璟.住房按揭贷款逾期风险识别与管理研究——基于借款人学历视角的实证检验[J].浙江省政法管理干部学院学报,2020,34(4):125-137.
作者姓名:王先柱  吴义东  吴璟
作者单位:1. 安徽工业大学 商学院
2. 上海财经大学 公共经济与管理学院
3. 清华大学 建设管理系
基金项目:国家自然科学基金重大研究计划培育项目;国家自然科学基金重大研究计划培育项目;国家自然基金面上项目;上海财经大学2019年研究生创新基金资助项目
摘    要:住房按揭贷款市场向来关注借款人学历水平,但有关学历与借款人行为内在关系的研究却相对不足。以住房公积金贷款为例,利用某重点城市2005-2014年住房公积金贷款还款数据,构建Cox比例风险模型,从总体影响、被动逾期、主动逾期、年龄效应等多个维度,对借款人学历与其还款逾期行为之间的联系进行系统性实证检验。研究结果表明,在偿还住房按揭贷款的过程中,高学历借款人的信用水平相对更优,他们的被动逾期和主动逾期行为发生概率均相对更低,并且这一规律在年轻借款人群体中更加明显。因此,商业银行、住房公积金中心等(准)金融机构可以充分利用学历信号在识别借款人信用过程中的上述作用,进一步加强住房按揭贷款风险防控,更好地实现金融服务供需有效匹配,提高授信方资金安全性和受信方金融可得性。

关 键 词:住房公积金贷款  还贷逾期  学历  年龄  信用识别  
收稿时间:2020-05-22

Research on Delinquency Risk Identification and Management of Housing Mortgage Loan: Empirical Evidence from borrower's Education Perspective
WANG Xianzhu WU Yidong WU Jing.Research on Delinquency Risk Identification and Management of Housing Mortgage Loan: Empirical Evidence from borrower's Education Perspective[J].Journal of Zhejiang Gongshang University,2020,34(4):125-137.
Authors:WANG Xianzhu WU Yidong WU Jing
Institution:1. School of Business, Anhui University of Technology
2. School of Public Economics & Administration, Shanghai University of Finance and Economics
3. Department of Construction Management, Tsinghua University
Abstract:The housing mortgage market has always focused on the level of the borrower's education, but the research on the relationship between the education and the borrower's behavior is relatively insufficient. Based on the repayment data of housing provident fund loans in a key city from 2005 to 2014, and from the dimensions of overall impact, passive overdue, active overdue, age effect, etc., this paper constructs Cox proportional hazards model and conducts a systematic empirical test on the relationship between higher education and delinquency behavior. The results show that in the process of repayment of housing mortgage loans, the credit level of highly educated borrowers is relatively better, the probability of passive overdue and active overdue behaviors of highly educated groups is relatively low. And this rule is more obvious among young borrowers. Commercial banks, housing provident fund centers and other (quasi-) financial institutions can make full use of the education signal in the identification of borrower credit process, further strengthen the housing mortgage risk prevention and control, better match the supply and demand of financial services and improve the security of creditors' funds and the financial availability of trusted parties.
Keywords:housing mortgage  delinquency  education  signal  credit identification  
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