反向抵押贷款风险研究

反向抵押贷款作为一种金融产品,其核心问题是风险管理,但目前国内对于反向抵押款风险的研究仅仅停留在简单对国外文献的翻译上,并未结合中国实际进行具体分析.结合中国具体实际对反向抵押贷款中的三级风险作了详细分析,并对反向抵押贷款中的风险防范提了几点建议.     

关于个人住房抵押贷款风险及防范策略的研究

我国个人住房抵押贷款虽然有了很大发展，但仍面临着各种风险。防范个人住房抵押贷款风险应该采取的策略主要有：进行房地产景气状况分析；实行用户资信评审制度；建立抵押贷款的保险和担保机制；实行住房抵押贷款证券化。     

城区特征对房贷的影响

城区特征通过多种途径影响商业银行住房抵押贷款决策.商业银行可以根据城区特征判断一个城区的住房抵押贷款违约风险,进而确定对该城区的最低首付款比例或拒贷率.通过分析国外城区特征对商业银行住房抵押贷款决策的影响机制,联系我国实际情况,指出我国商业银行根据城区特征进行住房抵押贷款决策具有合理性,建议商业银行密切关注城区住房价格波动率,并建议政府限制中低收入城区商业银行的数量.     

考虑违约距离的上市公司危机预警模型研究

在上市公司财务危机预警中,违约距离起着重要的不可替代的作用,仅考虑财务指标并不足以完全解释企业财务危机发生的原因.文章应用Merton模型对2002～2004年ST公司和相应配对公司的危机发生之前的违约距离进行了研究,发现危机公司违约距离在危机发生前第三年明显低于正常公司的相应值,违约距离比传统财务指标能更早地预警到企业财务危机的发生.结合违约距离因素的危机预警模型能更明显地提高模型的危机判断正确率.     

CPV模型研究产业集群的经济周期性风险

本文在深入分析Creditportfolio View（CPV）模型的原理基础上，利用了现代信用风险KMV模型计算出我国产业集群的违约概率．然后利用CPV模型进行一系列的运算以校验违约概率，最后分析我国产业集群违约概率值的特点。     

论房地产信贷发展现状、风险及防范

房地产业是国民经济的重要组成部分,为扩大内需,房地产业的潜力将得到充分挖掘,如何确保我国房地产业的持续、稳定、高速增长成为经济理论和实践工作者的一个重要议题.     

我国银行贷款违约损失率影响因素的实证分析

本文利用某国有商业银行的贷款数据资料，运用主成因子分析对贷款样本的LGD进行统计分析并确定影响因素的重要性及排序。本文结论为：影响我国商业银行贷款LGD的因素依次为企业的信用等级、贷款担保方式、企业的行业属性；企业规模、企业经济类型、贷款担保方式等因素对LGD的影响都很弱。此外，本文验证了PD和LGD之间存在一定的关系，并非相互独立。     

An Analysis of SBA Loan Defaults by Maturity Structure

The financial intermediation literature on small business lending focuses on the determinants and costs to credit access. There is, however, little research examining the repayment behavior of small firms that actually receive loans. In this paper, we address this shortcoming in the literature by examining the default behavior of a sample of Small Business Administration 7(a) guaranteed loans with three distinct maturity structures. We employ a discrete-time hazard approach and show that SBA defaults are time-dependent and that the factors impacting default behavior, as well as its timing, are maturity specific. Specifically, we show the importance of loan maturity, seasoning, economic conditions, and other firm-specific factors in predicting the likelihood of SBA loan defaults. JEL classification: G21     

A Reconsideration of the Jumbo/Non-Jumbo Mortgage Rate Differential

Consistent with a series of recent papers, the interest-rate differential between mortgages eligible for purchase based on loan size by Fannie Mae and Freddie Mac and larger loans is estimated to be 22 basis points over the 1986–2000 period. This differential averaged 19 basis points for the 1996–2000 period. Other significant effects include: loans slightly above the conforming loan limit and originated late in a calendar year often have a lower rate that nearly fully anticipates their likely characterization as a non-jumbo loan after the conforming loan limit is indexed effective each January; loan-to-value ratios affect jumbo loan rates much more than they affect non-jumbo loan rates; loans located in non-metropolitan areas have a 3 basis point differential versus loans in metropolitan areas that is surprisingly small given the likely higher cost to service non-metropolitan loans and the higher degree of uncertainty about non-metropolitan collateral values; and estimated regional mortgage rate differentials have narrowed through time.     

Incorporating Collateral Value Uncertainty in Loss Given Default Estimates and Loan-to-value Ratios

We present a model of risky debt in which collateral value is correlated with the possibility of default. The model is then used to study the expected loss given default, primarily as a function of collateral. The results obtained could prove useful for estimating losses given default in many popular models of credit risk which assume them constant. We also examine the problem of determining sufficient collateral to secure a loan to a desired extent. In addition to bank practitioners, regulators might find our analysis useful in reviewing banks’ lending standards relative to current collateral values. In particular, the current proposals for The New (Basel) Capital Accord involve options for the use of banks’ own loss given default estimates which might benefit from the analysis in this paper.