课题基金 / 基金详情

COLLABORATIVE RESEARCH: A Micro View of the Mortgage Crisis: Evidence from Loan-Level Data from a Large Bank

COLLABORATIVE RESEARCH: A Micro View of the Mortgage Crisis: Evidence from Loan-Level Data from a Large Bank
合作研究:抵押贷款危机的微观视角:来自大型银行的贷款级别数据的证据
批准号:
0851333
负责人:
Edward Vytlacil
金额:
$37.74万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-07-01 至 2013-06-30

项目摘要

项目成果

Edward Vytlacil的其他基金

相似基金

相关文献

中文摘要
翻译
自2006年以来,美国住房和抵押贷款债务市场的发展是监管机构、研究人员和市场参与者焦虑和努力的焦点。本课题旨在从一家大型抵押贷款银行的经历中,揭示抵押贷款危机的原因和途径。PI研究的银行是一个理想的研究场所,因为它提供了一个代表性的,但放大版本的繁荣和萧条周期,国家次级抵押贷款部门已经看到在过去十年。首先,该银行是2006年全国十大抵押贷款银行之一,也是增长最快的银行之一。第二,它专门从事减少和无文件贷款,一直是核心的抵押贷款危机,同时也提供完整的文件贷款。第三,2008年的银行破产是美国历史上最大的银行破产之一。最后,银行抵押贷款的借款人和财产在所有州都有公平的代表权,因此,银行破产的教训具有普遍意义。该项目将基于一个新的专有数据集,该数据集代表了抵押贷款文献中使用的最全面,详细和分类的数据集。我们获得了该银行在2004年1月至2008年3月期间任何时候未偿还的70多万笔贷款的数据。该数据集包括贷方为贷款发放收集的所有详细信息,包括贷款定价和其他合同条款,以及借款人的人口统计和经济状况。此外,数据集还包括样本期内每个月贷款表现的详细信息,包括付款金额和贷款提前还款、拖欠和止赎状态。最后,使用数据集中的地址信息,PI能够将个人贷款与社区属性(如学校质量、房价指数和狭窄地区的商业机会)相匹配。对这一独特数据集的分析将包括几个步骤。首先,PI计划对样本期内银行发放的贷款的结构和业绩的演变进行描述性分析。其次,他们将对违约进行预测分析,并分析按贷款类型和借款人特征划分的子样本之间违约决定因素的差异。他们还将分析这种时间序列的变化。最重要的是,他们将识别抵押贷款市场中的双边道德风险问题。一方面,存在掠夺性贷款的可能性,即放款人误导不知情的借款人获得高成本贷款,而后者有资格获得低成本的替代贷款;或者放款人提供的贷款将对借款人造成预期的损害。另一方面,掠夺性借款指出借款人在贷款申请中伪造或隐藏不利信息的可能性。拟议活动的知识价值:使用独特的数据集,拟议的研究将有助于解决有关贷款实践的争议,最重要的是贷款定价和掠夺性贷款中存在的歧视。这项研究还旨在通过评估不负责任的贷款和不负责任的借款的相对重要性,确定造成抵押贷款危机的关键因素。新颖的经验设计,分别确定贷款人和借款人的机会主义行为也将代表双边信息不对称和道德风险的实证文献的贡献。拟议活动产生的更广泛影响:通过对一家主要抵押贷款银行的扩张和倒闭进行内部研究,这项工作将更好地了解最近抵押贷款危机的原因。研究结果将为政策制定者提供有益的参考,他们将制定法律和规则,以防止这种规模的危机再次发生。本研究的经验教训也将有利于银行和金融机构在贷款提供和证券化、风险管理和监测方面采取更好的做法。
英文摘要
Developments in the U.S. housing and mortgage debt markets since 2006 are the focus of anxiety and efforts among regulators, researchers, and market participants. This project aims to uncover the causes of, and the paths to, the mortgage crisis from the experience of a major mortgage bank. The bank the PI's study is an ideal place for the study because it provides a epresentative and yet amplified version of the boom-and-bust cycle that the national subprime sector has seen during the past decade. First, the bank was one of the nations ten largest mortgage banks in 2006 and was one of the fastest growing. Second,it specialized in the reduced- and no-documentation loans that has been central to the mortgage crisis, while also providing full-documentation loans. Third, the insolvency of the bank in 2008 was one of the largest bank failures in United States history. Lastly, the borrowers and properties underlying the bank's mortgage loans have fair representations from all the states, and therefore, lessons from the bank's failure have general implications. The project will be based on a new and proprietary data set that represents the most comprehensive, detailed, and disaggregated data sets used in the mortgage loan literature. We have obtained data on more than 700,000 loans made by the bank that were outstanding at any time between January 2004 and March 2008. The dataset includes all the detailed information that the lender collected for loan origination, including loan pricing and other contractual terms, and the borrowers demographic and economic conditions. In addition, the dataset includes detailed information about the loan performance in each month during the sample period, including the payment amount and the loans prepayment, delinquency and foreclosure status. Finally, using the address information in the dataset, the PI's are able to match individual loans to community attributes such as school quality, housing price indices, and business opportunities in narrow localities. The analysis of this unique dataset will include several steps. First, the PI's plan to conduct a descriptive analysis of the evolution of the structuring and performance of loans originated by the bank during the sample period. Second, they will perform a predictive analysis of default, and analyze the differences in the determinants of default among subsamples partitioned by loan types and borrower characteristics. They will also analyze the time series variations of such. Most importantly, they will identify the two-sided moral hazard problems in the mortgage market. On the one hand, there is the possibility of predatory lending, where the lender misleads an uninformed borrower into a high-cost loan when the latter could qualify for a lower-cost alternative; or the lender makes a loan that will cause expected harm to the borrower. On the other hand, predatory borrowing points to the possibility that borrowers falsify or hide unfavorable information in their loan applications. The intellectual merit of the proposed activity: Using a unique dataset, the proposed study will help settle the controversies over lending practice, most importantly the presence of discrimination in loan pricing and predatory lending. The research also aims at identifying key factors in causing the mortgage crisis by assessing the relative importance of irresponsible lending and irresponsible borrowing. The novel empirical design to separately identify the opportunistic behavior of lenders and borrowers will also represent a contribution to the empirical literature on two-sided information asymmetry and moral hazard. The broader impacts resulting from the proposed activity: By conducting an inside study of a major mortgage bank through its expansion and failure, this work will provide a better understanding of the causes of the recent mortgage crisis. The findings will provide useful reference for policy makers who work on laws and rules in order to prevent a crisis of this scale from recurring. The lessons from this study will also benefit banks and financial institutions for better practices in loan provision and securitization, risk management, and monitoring.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Conferences in Econometrics and Mathematical Economics: Summer 2018 - Cambridge, MA
Conference on Econometrics and Mathematical Economics
Conference on Econometrics and Mathematical Economics
Dummy Endogenous Variables in Threshold Crossing Models, with Applications to Health Economics
  • 批准号:
    0832845
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $5.38万
  • 财政年份:
    2008
  • 负责人:
    Edward Vytlacil
  • 依托单位:
国内基金
海外基金
Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    SATOSHI NAWATA
  • 依托单位:
Cell Research
Cell Research
Cell Research (细胞研究)