个人借款人和地区因素对次级和优质抵押贷款拖欠和违约率的影响:2009年起源年份和预测的分析

G. Hanweck
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引用次数: 0

摘要

本研究着眼于住宅房地产和抵押贷款市场崩溃的原因在拖欠和违约经验的次贷,Alt-A和Prime抵押贷款在个人借款人水平在大都市(MSA)住房市场。人们认识到,并非所有高风险贷款都会拖欠和/或违约,因此研究试图开发贷款和借款人因素的代理,这些因素表明这些贷款的概况和借款人最有可能违约,同时考虑到MSA住房市场的特点。考虑MSA的特征是试图解决为什么在没有衰退和高就业率的时期发生了这么多违约的问题。要做到这一点,人们认识到,借款人的支付意愿在很大程度上取决于他们成为房主的愿望,而不是成为住宅物业的投资者。为了捕获这一需求,使用了贷款发起时基于贷款和借款人特征的Loan Performance数据库中的变量。这将对住宅、次级、Alt-A和优质抵押贷款的违约率和违约率进行横断面分析。检验的假设代表了贷款和借款人水平特征以及MSA经济因素(如MSA就业增长、失业率、家庭收入和房价变化及其波动性)对不同类型和不同起源日期(年份)抵押贷款的拖欠水平和违约率的影响。根据之前的一项研究(Hanweck 2008),将个人贷款数据汇总到MSA水平,我们发现贷款和借款人水平特征,如原始贷款余额加权的贷款与价值比率,没有文件的加权贷款比例或借款人的加权FICO评分和MSA水平的经济因素,如就业增长和房价指数变化率,在解释MSA贷款拖欠和违约率超过359 MSA 2005年和2006年的复古抵押贷款方面具有高度的统计意义和经济重要性。使用2006年份参数,MSA预测了2007年份贷款的拖欠率和违约率。这项由Q集团研究基金资助的研究的独特之处在于,它将对借款人从一种还款状态转变为另一种还款状态的个人贷款水平条件概率进行估计——从目前的拖欠到30天的拖欠,到90天的拖欠,再到180天的拖欠,再到违约、ROE或止赎。这些数据来自Loan Performance Corp.,是从2004年至2009年的证券化交易中按月收集的。本研究的结果可以被投资者用来更有效地评估违约的条件可能性,由于违约和投资组合保留的预期损失,以及抵押贷款修改或出售的潜在回收。可以根据贷款支付状况、估计的LTV、其他贷款和借款人特征以及大都市地区的经济状况(包括房价趋势)来估计在指定日期的任何指定期间内严重拖欠或违约的可能性。
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Individual Borrower and Regional Factors Contributing to Subprime and Prime Mortgage Delinquency and Default Rates: An Analysis by Origination Vintages and Projections for 2009
This study looks at the causes of the residential real estate and mortgage market collapse in terms of the delinquency and default experience of subprime, Alt-A and Prime mortgages at the individual borrower level in metropolitan (MSA) housing markets. It is recognized that not all high risk loans will become delinquent and/or default and so the study attempts to develop proxies of loan and borrower factors that indicate the profile of those loans and borrowers most likely to default taking into consideration the characteristics of the MSA housing markets. Consideration of the MSA characteristics is an attempt to address the question of why there occurred so many defaults during a period of no recession and a high rate of employment. To do this it is recognized that borrowers’ willingness to pay depends largely on their desire to be a home owner rather than an investor in a residential property. To capture this desire, variables from the Loan Performance data base on loan and borrower characteristics at the time of loan origination are used. This will develop a cross-section analysis of delinquency and default rates of residential, subprime, Alt-A and Prime mortgages. The hypotheses tested represent the effects of loan and borrower level characteristics and MSA economic factors, such as MSA employment growth, unemployment rate, household income and housing price changes and their volatility on the level of delinquency and default rates on mortgages of different types and differing origination dates (vintages). From a previous study (Hanweck 2008) that aggregated individual loan data to the MSA level, we found that loan and borrower level characteristics such as loan-to-value ratio weighted by original loan balances, the weighted proportion of loans that have no documentation or the borrowers’ weighted FICO score and MSA level economic factors such as employment growth and house price index rates of change are highly statistically significant and economically important in explaining MSA loan delinquency and default rates over the 359 MSAs for 2005 and 2006 vintages mortgages. Using the 2006 vintage parameters delinquency and default rates for the 2007 vintage loans were projected by MSA.The uniqueness of the proposed study, that the Q Group Research funding will permit, is that it will develop estimates of individual loan level conditional probabilities of borrowers moving from one payments’ status to another – current to 30-days delinquent to 90-days delinquent to 180-days delinquent to default, ROE or foreclosure. The data is from Loan Performance Corp. and is collected from securitizations on a monthly basis for the years 2004 to 2009. The results of this study can be used by investors to more efficiently value the conditional likelihood of default, expected losses due to default and portfolio retention, and potential recoveries from mortgage modifications or sale. The probability of severe delinquency or default within any specified period from a specified date can be estimated conditional on loan payment status, estimated LTV, other loan and borrower characteristics and metropolitan area economic conditions including house price trends.
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