贷款价值比对住房抵押贷款支持证券违约率的影响

IF 0.3 4区 经济学 Q4 Economics, Econometrics and Finance Journal of Credit Risk Pub Date : 2016-07-22 DOI:10.21314/JCR.2016.210
L. O. González, Pablo Durán Santomil, Milagros Vivel Búa
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引用次数: 4

摘要

本文从实证层面分析了用贷款价值比(LTV)解释抵押贷款借款人行为的有效性。为了进行这一分析,我们使用了2005-8年期间西班牙证券化抵押贷款组合的数据。在建立的回归模型中,我们发现较高的初始LTV比率与较大的违约风险相关。违约概率和LTV之间的关系似乎是非线性的,当值大于80%时,可以看到急剧增加。我们的研究结果证实了新巴塞尔III提案的充分性,该提案为持有不同LTV比率的住宅抵押贷款的银行设定了非线性资本要求水平。然而,为了改进用于衡量资本要求的模型,可以考虑用“调味”变量估计的回归模型中显示的显著性。
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The Impact of Loan-to-Value on the Default Rate of Residential Mortgage-Backed Securities
This paper analyzes the validity of using the loan-to-value (LTV) ratio to explain the behavior of mortgage borrowers at an empirical level. To perform this analysis we use data for mortgage loan portfolios securitized in Spain during the period 2005-8. In the regression models developed, we find that higher initial LTV ratios are associated with greater default risk. The relation between the probability of default and LTV seems to be nonlinear, and a sharp increase is seen for values greater than 80%. Our findings confirm the adequacy of the new Basel III proposal that sets nonlinear capital requirement levels for banks holding residential mortgage loans at different LTV ratios. However, the significance shown in the regression models estimated with the "seasoning" variable could be considered in order to improve the models used to measure capital requirements.
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来源期刊
Journal of Credit Risk
Journal of Credit Risk BUSINESS, FINANCE-
CiteScore
0.90
自引率
0.00%
发文量
10
期刊介绍: With the re-writing of the Basel accords in international banking and their ensuing application, interest in credit risk has never been greater. The Journal of Credit Risk focuses on the measurement and management of credit risk, the valuation and hedging of credit products, and aims to promote a greater understanding in the area of credit risk theory and practice. The Journal of Credit Risk considers submissions in the form of research papers and technical papers, on topics including, but not limited to: Modelling and management of portfolio credit risk Recent advances in parameterizing credit risk models: default probability estimation, copulas and credit risk correlation, recoveries and loss given default, collateral valuation, loss distributions and extreme events Pricing and hedging of credit derivatives Structured credit products and securitizations e.g. collateralized debt obligations, synthetic securitizations, credit baskets, etc. Measuring managing and hedging counterparty credit risk Credit risk transfer techniques Liquidity risk and extreme credit events Regulatory issues, such as Basel II, internal ratings systems, credit-scoring techniques and credit risk capital adequacy.
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