民间借贷之现状与抉择探析

民间借贷的规模占据农村、城镇中小企业资金借贷的很大比例，尤其在个体工商户中所占比例更大。民间借贷之所以能够长期存在，有其存在的必然性。民间借贷对于提供资金资源、调整经济结构等方面具有积极的意义，但同时也有消极的影响。因此，应当从理论和政策上给予民间借贷一个合适的定位。同时，应建立民间借贷登记制度．规范其利率管理，逐步发挥其市场导向优势，使民间借贷合法化、公开化。     

Forecasting recovery rates on non-performing loans with machine learning

We compare the performance of a wide set of regression techniques and machine-learning algorithms for predicting recovery rates on non-performing loans, using a private database from a European debt collection agency. We find that rule-based algorithms such as Cubist, boosted trees, and random forests perform significantly better than other approaches. In addition to loan contract specificities, predictors that refer to the bank recovery process — prior to the portfolio’s sale to a debt collector — are also shown to enhance forecasting performance. These variables, derived from the time series of contacts to defaulted clients and client reimbursements to the bank, help all algorithms better identify debtors with different repayment ability and/or commitment, and in general those with different recovery potential.     

Bank loan versus financial lease: how do traditional and innovative approaches within the banking sector influence economic growth? A comparative analysis between the US and China

ABSTRACT

The argument over the effects of financial structures on economic growth remains unsettled. This study, therefore, compares the dynamic correlation and lead–lag relationship between the different financial approaches within the banking sector (that is, traditional bank loans versus innovative financial leasing) and economic growth. We employ a continuous wavelet analysis using time-series data from 1982–2017 from the US (the world’s largest developed country) and China (the world’s largest developing country). The empirical results show that (1) episodes of significant correlation usually emerge during periods of reform, crisis or policy implementation; and (2) in China, traditional banking promotes economic growth in the long term, while the real economy only imputes the evolution of banks during critical economic reforms in the short term. Meanwhile, financial leasing could only promote the development of the real economy under suitable regulation; and (3) in the US, before the crises, the irrational growth of the real economy could increase bank assets, while during the crises, the traditional banking approach harms economic growth, and after the crises, financial leases play an important role in recovery. Therefore, we suggest that policymakers should establish adequate policies and regulations to solve the situation.     

商业银行对中小企业贷款难的再探讨

从商业银行对大企业和中小企业贷款风险和效益两方面进行对比分析,其中效益分为贷款成本和贷款收入两部分,应排除对于贷款难认识的误区,进而找出问题的根本所在以及商业银行解决对中小企业贷款难的对策.     

世界银行贷款项目对我国的影响

世界银行贷款作为我国改革开放以来利用外资的一种重要形式,对我国的经济建设发挥了一定的作用。本文通过对世界银行贷款项目介绍与回顾,总结其对我国社会经济的影响。     

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。     

黑龙江省金融风险隐患与法律对策研究——以黑龙江商业银行不良资产居高难题为切入点

商业银行不良资产居高问题长期以来一直是困扰我省经济发展的难题,也是我省在东北老工业基地改造建设中急需解决的主要金融风险.用经济学和法学的分析方法,以不良贷款作为出发点,可以看出法制健全与金融风险防范之间的重要关联性,便于有针对性地选取社会信用、银行内部法人治理结构、业务创新、退出等机制,也有利于分析探讨如何以法律规范的手段有效地解决我省不良资产居高难题.     

金融中介及关系银行——基于广东外资企业银行融资数据的研究

本文根据外资银行和国有商业银行向在中国境内的外资企业提供的外币贷款和人民币贷款的数据 ,对金融中介及关系银行进行了实证研究。我们的主要结论有两点 :第一 ,企业与银行建立起来的金融业务关系越长久 ,那么其所获得的外币贷款利率就越低。这是对金融中介理论的支持。另外 ,外资控股、第三方担保等因素 ,也具有降低外币贷款利率的效应。第二 ,人民币贷款的利率随着外资企业与更多的银行建立和保持合作关系而降低。人民币贷款主要是由我国商业银行提供。如果商业银行间的竞争仅仅是用来作为信贷定价的主要决定因素 ,而不是用来推进金融创新 ,提供高质量的金融产品和服务 ,那么这将会损害我国商业银行的获利能力并进而影响金融系统的健康发展。