Characteristics and mechanisms of not-fully marketized interest rates: Evidence from Chinese online lending

Most of the online lending rate are predominately determined by the platform, especially in the Chinese online lending markets, which indicates that the online lending rate is “not-fully marketized”. Based on a sample of 20 representative online lending platforms with daily data during June 1, 2017 to May 31, 2018 collected from Net credit eye and Lingyicaijing, our results, first, show that the average duration of loans, pending balance, newly added investors, and relative repayment amount are all significant factors for online lending rates. Second, from the view of the whole industry, the increase of the new investors also attracts more risk-seeking investors enter into the industry, who have considerable influences on online lending rates. Finally, when considering the credit rating of each individual platform, the explanatory power of the above factors is gradually weakened as the platform rating declines. This interesting finding suggests that the online lending rate of any platform can reasonably reflect its risks if the platforms keep better regulatory compliance. Our results provide theoretical and empirical supports for both regulators and investors.     

Institutional investment in online business lending markets

We provide new insights into the business lending decisions of institutional investors in online credit markets by benchmarking their lending performance against that of retail investors.We find superior performance for loans financed by institutional investors, although large sized retail investor groups achieve equivalent performance. Lending decisions of institutional investors are not default risk minimising, and we quantify lending inefficiencies. From a platform perspective, we show that (i) the platform-administered loan allocation process is not biased in favour of institutional investors, (ii) institutional participation in the retail marketplace is not a distorting factor in loan performance, and (iii) the platform’s move to a fixed rate system had detrimental effects on loan outcomes for institutional investors. The superior loan performance achieved by institutional investors is confined to the auction period, when institutional investors had autonomy over setting interest rates.     

Survival or die: a survival analysis on peer‐to‐peer lending platforms in China

This study examines the probability of survival of online peer‐to‐peer (P2P) lending platforms in China. Our empirical findings show that shareholder's background, platforms’ risk management and institutional environment are three major factors that influence the probability of survival of P2P platforms in China. In addition, the effects of risk control and institutional environment are less pronounced in state‐owned P2P platforms. We also show that platforms that die from abscondence of owners tend to be more short‐lived than others, while platforms that die from liquidity problems are usually due to lack of high‐quality risk management techniques.     

The failure of Chinese peer-to-peer lending platforms: Finance and politics

We investigate the influence of financial and political factors on peer-to-peer (P2P) platform failures in China's online lending market. Using a competing risk model for platform survival, we show that large platforms, platforms with listed firms as large shareholders, and platforms with better information disclosure were less likely to go bankrupt or run off (platform owners abscond with investor funds). More importantly, failing platforms were much less likely to run off in advance of major political events, but more likely to declare bankruptcy or run off after such events. These effects are more pronounced for politically connected platforms, platforms operating in provinces where local officials have close ties with central government, and in provinces with better local financial conditions. Our study highlights the role of political incentives on government regulatory intervention in platform failures.     

Credit rationing in P2P lending to SMEs: Do lender-borrower relationships matter?

This paper studies the role of individual P2P investors that are acquainted with the borrower in mitigating credit rationing in P2P lending to SMEs. I use proprietary data provided by one of the biggest Dutch P2P lending platforms, on which personal acquaintances of the borrower are able to invest before other P2P investors do. I find that P2P investors invest more in loans of borrowers to whom they are personally acquainted. More initial investment by investors acquainted with the borrower is subsequently associated with a higher likelihood of obtaining a second loan from the P2P lender, larger investments by other P2P investors and lower ex post defaults. These results are consistent with informal lenders having superior information or monitoring skills and rational herding following informal investors' investment decisions.     

Factors affecting investors’ intention to purchase gold and silver bullion: evidence from Malaysia

Gold and silver prices have surged since the 1980s, and they have been used as a store of value for fear of a financial meltdown. However, gold and silver in the form of bullion are still not so popular compared with other gold and silver products (jewellery) and other financial instruments in Malaysia. Limited study has actually verified the factors that affect the investors’ intention to purchase bullion. Thus, this study explores factors affecting investors’ behaviour and their intention to purchase bullion based on the Theory of Planned Behaviour. This study also examines the moderating effect of scepticism between investors’ behaviour and their intention to purchase bullion. A total of 208 sets of data collected in a self-administered online structured survey was analysed using PLS-SEM. This study finds that investors’ behavioural belief and control belief significantly and positively affect their respective attitude towards behaviour and perceived behavioural control and, thus, intention to purchase bullion. Results are found insignificant for normative belief, normative attitude and intention to purchase bullion and the moderating effect of scepticism in affecting investors’ intention to purchase bullion. The findings of this study hope to provide insight and deeper understanding to bullion traders and financial advisors in improving their marketing strategies in growing interest in the bullion market.

     

我国P2P网络借贷信用风险影响因素研究——基于排序选择模型的实证分析

P2P(peer-to-peer)网络借贷是一种借助网络平台,由个人与个人间互为借贷双方的小额借贷交易。它作为互联网与民间借贷相结合的新兴金融模式,具有较高的信用风险。采用排序选择模型,基于 ex-celVBA 数据挖掘技术截取多个 P2P 网站数据,对平台信用风险的影响因素进行实证分析,结果表明：个人特征、信用变量、历史表现、借款信息分别对网络借贷信用风险存在正向影响,由此发现网站提供的信息对投资者避免信用风险没有起到实质作用。     

网络借贷平台风险:宏观驱动因素与监管

本文尝试从网贷平台风险的角度,讨论宏观驱动因素和监管政策对网络借贷市场的影响。首先,利用我国网贷市场有代表性的651家平台近两年的日度交易数据,我们发现网贷平台停业风险与增长速度呈负向关系。进一步分析平台增长背后的宏观驱动因素,我们发现互联网技术供给和普惠金融需求共同影响行业发展,而平台增速低于预期将增大停业风险。其次,我们发现监管政策的出台有效降低了平台停业风险,并且降低了平台正常经营对高增长的依赖。但监管政策对于高风险省份的作用弱于或不显著区别于低风险省份,表明监管效果的针对性需要加强。本文对进一步完善网贷行业监管政策及产业政策有参考意义。     

Textual sentiment of comments and collapse of P2P platforms: Evidence from China's P2P market

Textual sentiment affects the investment activities of investors in traditional financial markets. Peer-to-Peer (P2P) lending market, as one of the emerging and active Internet financial markets, has recently received considerable attention from academia. However, few related studies are available. This work examines the relationship between the textual sentiment derived from investors’ comments on P2P platforms and probability of platform collapse. We collect comments from an authoritative Chinese third-party P2P lending consulting platform and use a weakly supervised convolutional neural network to calculate the textual sentiment of each comment. Empirical results show that the extracted textual sentiment has a significant influence on a P2P platform's collapse. Furthermore, the “agreement” and “disagreement” from other investors of each comment are pivotal in predicting a P2P platform's failure. We find that the textual sentiment of comments regarding P2P platforms from investor communities provide insights into predicting platforms’ collapse in the near future.     

高管减持如何影响投资者预期?——基于超额融券的经验证据

随着我国融资融券业务逐步扩容,投资者向证券公司融券卖出的卖空交易成为市场消化负面信息的重要机制。本文以高管减持事件窗口期的超额融券量为研究对象,采用事件研究法考察我国企业高管减持所任职公司股票对市场预期的影响。实证结果表明,相比估计期,高管减持窗口期超额融券量显著增长,并且减持比例越高或者减持金额越大,超额融券量越高,表明高管减持显著降低了外部投资者对公司股票的价值预期。进一步研究显示,良好的信息透明度能够显著降低高管减持对超额融券量的正向影响。本文用超额融券量直观地度量投资者预期变化,丰富和发展了高管减持经济后果的研究,对规范我国上市公司高管减持行为及监管部门完善相关监管规定具有启示意义。     

What determines interest rates for bitcoin lending?

This study analyses the determinants of interest rates in the cryptocurrency lending market using a unique database from the Decentralised Finance platform. We confirm the existence of both mediation and moderation effects in the cryptocurrency lending market by employing a moderated mediation model. First, the empirical results show that the interest rate is closely related to the loan-to-value ratio, which works as the mediation variable in lending. Second, the interest rate reveals a clear connection with price fluctuations of Bitcoin. This brings up the momentum phenomenon in the lending process and incentives borrowers to acquire more money, leading to pro-cyclical speculation. Third, the lending amount reflects a moderation effect in the lending market, and the net effect of the currency price on the interest rate turns negative when the loan amount exceeds a threshold, resulting in the ‘seesaw’ effect in cryptocurrency lending. The above findings confirm that cryptocurrency lending reflects a certain degree of option characteristics and complies with the risk-debt model, which provides more evidence for understanding the momentum phenomenon and investor behaviour in the cryptocurrency lending market.     

Bank lending incentives and firm investment decisions in China

This study investigates whether and how banks’ lending incentives influence firms’ investment behaviors in China. First, empirical results show that loans granted to politically connected firms are less influenced by those firms’ profitability and tangibility. Second, political connection is a violation factor in debt markets, and our study finds that firms with political ties invest less efficiently than firms without political ties when they can access abnormal debt. Finally, we find that regional development with regard to market development and government quality improvement reduces the negative impact of politically connected lending on firms’ investment efficiency.     

Does banks’ dual holding affect bank lending and firms’ investment decisions? Evidence from China

This study investigates the effect of banks’ dual holding on bank lending and firms’ investment decisions using a sample of listed firms in China. We find that dual holding leads to easier access to bank loans, a result that is more pronounced for non-state-owned enterprises (non-SOEs) than SOEs. We also find that dual holding distorts banks’ lending decisions and harms the investment efficiency for SOEs, while resulting in optimal lending decisions and enhanced investment efficiency for non-SOEs. For non-SOEs, further analysis suggests that optimal lending decisions and efficient investment can be achieved for firms with higher ownership concentration, and firms in which the family and foreign investors are the controlling shareholders. We argue that, in emerging markets, whether a bank plays a monitoring role by directly holding the debt and equity claims of companies relies heavily on whether the potential collusion between firm executives and bank managers can be averted, which in turn is determined by the firms’ governance framework and ownership structure.     

The mechanism of credit risk contagion among internet P2P lending platforms based on a SEIR model with time-lag

The credit risk contagion of Internet peer-to-peer (P2P) lending platforms is an important part of Internet financial risk management and supervision. This study analyzes the contagion path of credit risk in Internet P2P lending. Based on complex network theory and the theory of infectious disease dynamics, the characteristics of Internet P2P lending development are combined to construct a SEIR model of credit risk transmission among Internet P2P lending platforms with time lag, and the robustness of the model is analyzed and proven. The influence of platform correlations, the susceptible immune rate, the platform elimination rate, contagion latency, the saturation coefficient, and the susceptibility input rate on credit risk contagion behavior among Internet P2P lending platforms is analyzed, using the equilibrium point and threshold value. The impact of each variable is analyzed by simulation. Corresponding countermeasures and suggestions are proposed to prevent and control credit risk contagion among these platforms.     

International lending of last resort and moral hazard: A model of IMF's catalytic finance

This paper analyzes the trade-off between official liquidity provision and debtor moral hazard in international financial crises. In the model, crises are caused by the interaction of bad fundamentals, self-fulfilling runs and policies by three classes of optimizing agents: international investors, the local government and an international official lender. Limited contingent liquidity support helps to prevent liquidity runs by raising the number of investors willing to lend to the country for any given fundamentals, i.e., it can have catalytic effects. The influence of the official lender is increasing in the size of its interventions and the precision of its information. Unlike the conventional view stressing debtor moral hazard, our model identifies circumstances in which official lending actually strengthens a government's incentive to implement desirable but costly policies.     

线上销售与未来股票收益

本文通过分析相关上市公司在电商平台的线上销售数据,发现线上销售增长可以预测未来股票收益。根据线上销售增长率构建投资组合可以获得月均1.27%的超额收益,经三因子、五因子模型调整后收益率分别为1.40%和1.35%,并且该超额收益在较长时间内不会逆转。横截面回归结果显示,线上销售增长与未来股票收益显著正相关,并在控制其他市场异象因子后仍然显著。此外,本文还发现线上销售数据的预测能力主要集中在投资者关注有限、线上销售占比高以及套利成本高的公司,其投资价值来源于对公司未来基本面信息的预测能力。进一步研究表明,同时利用线上销售指标和营业收入指标进行投资可以获得更高的超额收益。在考虑业绩预告和业绩快报对线上销售指标预测能力的潜在影响后,结果依然稳健。     

Government Affiliation and Peer-To-Peer Lending Platforms in China

With thousands of co-existing and competing platforms, the Chinese peer-to-peer (P2P) lending market experienced both high growth and high failure rate. We hand collect unique data for these P2P platforms and investigate the differences in performances and survivals for platforms with and without affiliations with state-owned enterprises (SOEs). P2P platforms with SOE affiliations have higher trading volumes, attract more investors, and offer lower interest rates. These platforms also survive significantly better than those without the SOE affiliations, especially during market downturns. Using P2P platforms with fake SOE affiliations as identification, we show that the SOE affiliation itself (not related to the fundamentals) is an important signal for P2P market participants. These results can be helpful to investors and regulators, especially those from other emerging markets.     

Bringing the environment into bank lending: implications for environmental reporting

In recent years, it has come to be recognised that banks' lending operations affect, and are affected by, the state of the natural environment. In particular, rising public concern about the state of the natural environment, as reflected in legislation and consumer attitudes, poses risks for the state of a bank's lending portfolio. Even if they are not directly concerned about the environment, banks therefore have an incentive to understand the environmental implications of their lending decisions. This generates a potential demand for environmental information on companies.This paper reports on empirical research conducted to explore the interface between bank lending and the demand for environmental information. Based on a postal questionnaire survey of banks engaged in corporate lending in the UK, supplemented by a programme of semi-structured interviews, it reports on: the extent to which UK banks incorporate environmental considerations into their corporate lending decisions; the sources of information used by banks when making corporate lending decisions which involve environmental considerations; and lending bankers' views on developments in environmental reporting.The results indicate, inter alia, the importance that bankers attach to the annual report, notwithstanding its traditional limitations as a source of information on corporate environmental impact, and some desire for extensions to environmental disclosure. However, those desired developments are relatively narrow in scope, mirroring banks' principal interest in protecting their loans, and tend not to extend to more comprehensive forms of environmental disclosure such as might be expected to be found in a separate corporate environmental report.     

The Bank Lending Channel Revisited

A central proposition in research on the role of banks in the transmission mechanism is that monetary policy imparts a direct impact on deposits and that deposits act as the driving force of bank lending. This paper argues that the emphasis on policy‐induced changes in deposits is misplaced. A reformulation of the bank lending channel is proposed that works primarily through the impact of monetary policy on banks’ balance sheet strength and risk perception. Such a recasting implies, contrary to conventional wisdom, that greater reliance on market‐based funding enhances the importance of the channel.     

Capital ratios and bank lending: A matched bank approach

This paper examines the impact of bank capital ratios on bank lending by comparing differences in loan growth to differences in capital ratios at sets of banks that are matched based on geographic area as well as size and various business characteristics. We argue that such comparisons are most effective at controlling for local loan demand and other environmental factors. For comparison we also control for local factors using MSA fixed effects. We find, based on data from 2001 to 2011, that the relationship between capital ratios and bank lending was significant during and shortly following the recent financial crisis but not at other times. We find that the relationship between capital ratios and loan growth is stronger for banks where loans are contracting than where loans are expanding. We also show that the elasticity of bank lending with respect to capital ratios is higher when capital ratios are relatively low, suggesting that the effect of capital ratio on bank lending is nonlinear. In addition, we present findings on the relationship between bank capital and lending by bank size and loan type.