The influencing factors of satisfaction and lending intention in online lending investment: an empirical study based on the Chinese market

This paper develops a platform‐based influencing factors model which considers value perception, risk prevention measure, non‐default experience, trust and incentive gap, to better examine the impact of platforms on investors’ satisfaction and lending intention based on the Chinese market. The results reveal that the first four factors positively influence the satisfaction of the investors, while the incentive gap has a negative impact, and there is a positive association between investors’ satisfaction and lending intention. Some specific features of China’s online lending market are identified, which provides valuable insights for online lending platforms and the government.     

Best classification algorithms in peer-to-peer lending

A proper credit scoring technique is vital to the long-term success of all kinds of financial institutions, including peer-to-peer (P2P) lending platforms. The main contribution of our paper is the robust ranking of 10 different classification techniques based on a real-world P2P lending data set. Our data set comes from the Lending Club covering the 2009–2013 period, which contains 212,252 records and 23 different variables. Unlike other researchers, we use a data sample which contains the final loan resolution for all loans. We built our research using a 5-fold cross-validation method and 6 different classification performance measurements. Our results show that logistic regression, artificial neural networks, and linear discriminant analysis are the three best algorithms based on the Lending Club data. Conversely, we identify k-nearest neighbors and classification and regression tree as the two worst classification methods.     

Some Potential Linkages for Input-Output Analysis with Flow-of-Funds

Three major, interrelated accounting statements, at the frontiers of quantitative economic analysis, are three interrelated systems, namely: (1) National income and product accounts (NIPA), (2) The input-output tableaux, (IO), and (3) flow-of- funds accounts (FF). The third-mentioned system is somewhat less available and used in only limited areas of macroeconomic analysis. This paper is mainly concerned with use of FF accounting systems. This system shows where financial resources originate, and where they go in support of real capital formation. In this respect, interest rates and other market-based financial rates are of key importance. While much macroeconomic analysis is based on the rates that fit the yield curve, showing the interest rate structure over various maturities of debt associated with a given degree of risk. In contrast, the FF accounts throw light on the whole spectrum of interest rates, across maturities and debt qualities. For example, in analysis of the real estate market and funding of capital formation there, it is important to have a full understanding of the course of mortgage rates of different maturities and qualities. In short, it is necessary to develop a full appreciation of supply and demand forces in the mortgage market, which often is not obviously related to movements of the operative rate for monetary policy, such as very short-term inter bank rates or call money rates. This paper attempts to provide material from the flow-of-funds accounts that would make it possible to analyze the movement of relevant mortgage rates or whatever other rates are needed to understand the financing of capital formation in real estate.     

On Choosing and Bounding Probability Metrics

When studying convergence of measures, an important issue is the choice of probability metric. We provide a summary and some new results concerning bounds among some important probability metrics/distances that are used by statisticians and probabilists. Knowledge of other metrics can provide a means of deriving bounds for another one in an applied problem. Considering other metrics can also provide alternate insights. We also give examples that show that rates of convergence can strongly depend on the metric chosen. Careful consideration is necessary when choosing a metric.     

信贷技术、银行业竞争与中小企业融资

不同的银行信贷技术对中小企业具有不同的影响,银行业的逐渐开放,竞争的日益激烈,银行间并购逐年增加,银行业竞争结构的变化严重影响着中小企业融资。随着中国经济与世界经济接轨程度的加大,《新巴塞尔协议》的逐步推行,将不同程度影响银行业竞争结构及中小企业的信贷供给。因此,在制定相关政策时,要充分考虑金融政策的传导机制,不仅考虑其对金融体系及金融中介竞争结构的影响,而且还要考虑到对中小企业融资的间接影响。     

从国开行的统贷模式探讨中小企业融资难题

中国中小企业的组织形式、企业规模等因素,决定了股票和债券市场不可能成为其有效的融资渠道。没有足够的可抵押资产及相应的担保更无法获得银行贷款。国家开发银行开创性的创造出了一个开放性的融资体系。这个融资体系包括一个向中小企业提供贷款的平台和一个为贷款提供担保的平台。这种开放式融资体系中的贷款模式有效的破解了中小企业融资市场中的规模难题、软信息难题及担保难题,为商业银行提供了有效借鉴。     

Bank Lending to Native American Applicants: An Investigation of Mortgage Flows and Government Guarantee Programs on Native American Lands

We investigate the efficacy of government guarantee programs for mortgage loans made on tribal lands by comparing lending outcomes for White applicants and Native Americans (NAs) living on- and off reservation lands. Simultaneous equations models with the loan-to-income ratio endogenous indicate both on- and off-reservation NA applicants experience higher conditional denial rates compared with otherwise similar White applicants. NAs living on-reservation are equally as likely to be approved for mortgage loans as off-reservation NAs. On-reservation applicants self-select lower loan-to-income ratios, and are held to a higher standard for this credit variable, likely because lower housing values and other economic variables challenge on-reservation applicants. Our findings suggest lack of financial resources, lack of applicant education about and experience with the mortgage process, low creditworthiness, and lender reluctance to confront burdensome bureaucracy limit on-reservation guarantee program success.     

Bank ownership and credit over the business cycle: Is lending by state banks less procyclical?

This paper finds that lending by state banks is less procyclical than lending by private banks, especially in countries with good governance. Lending by state banks in high income countries is even countercyclical. On the liability side, state banks expand their total liabilities and, in particular, their non-deposit liabilities relatively little during booms. Public banks also report loan non-performance more evenly over the business cycle. Overall our results suggest that state banks can play a useful role in stabilizing credit over the business cycle as well as during periods of financial instability. However, the track record of state banks in credit allocation remains quite poor, questioning the wisdom of using state banks as a short term countercyclical tool.     

Does bank ownership affect lending behavior? Evidence from the Euro area

We analyze the differences in lending policies across banks characterized by different types of ownership, using micro-level data on Euro area banks during the period 1999–2011 to detect possible variations in bank lending supply responses to changes in monetary policy. Our results identify a general difference between stakeholder and shareholder banks: following a monetary policy contraction, stakeholder banks decrease their loan supply to a lesser extent than shareholder banks. A detailed analysis of the effect among stakeholder banks reveals that cooperative banks continued to smooth the impact of tighter monetary policy on their lending during the crisis period (2008–2011), whereas savings banks did not. Stakeholder banks’ propensity to smooth their lending cycles suggests that their presence in the economy has the potential to reduce credit supply volatility.     

基于银行流动性管理视角的宏观审慎与货币政策协调研究

本文从商业银行流动性管理视角出发,探究银行微观主体行为如何影响宏观审慎与货币政策的协调。我们借鉴净稳定资金比例的设计理念,将商业银行的流动性管理行为纳入传统理论模型,刻画出两种流动性管理行为对货币政策信贷传导渠道效率的潜在影响及传导路径。在此基础上,采用我国50家商业银行2012年第1季度—2018年第2季度面板数据进行实证检验。我们发现,银行为提升长期流动性水平而进行的优化信贷资产结构的行为,能够显著提高货币政策传导效率。但是,部分净稳定资金比例较低的股份制银行和城市商业银行调整非信贷资产结构的行为则有可能降低货币政策传导效率。因此,在执行既有流动性监管措施的同时,关注与引导银行资产结构调整方式,对增强宏观审慎与货币政策的协调大有裨益。