Deposits and relationship lending

We empirically examine whether access to deposits with inelasticrates (core deposits) permits a bank to make contractual agreementswith borrowers that are infeasible if the bank must pay marketrates for funds. Such access insulates a bank's costs of fundsfrom exogenous shocks, allowing it to insulate its borrowersagainst exogenous credit shocks. We find that, controlling forloan market competition, banks funded more heavily with coredeposits provide more loan rate smoothing in response to exogenouschanges in aggregate credit risk. Thus we provide evidence fora novel channel linking bank liabilities to relationship lending.     

Measuring Integrated Market and Credit Risk in Bank Portfolios: An Application to a Set of Hypothetical Banks Operating in South Africa

The banking crises of the ‘90s emphasize the need to model the connections between financial environment volatility and the potential losses faced by financial institutions resulting from correlated market and credit risks. Due to the number of variables that must be modeled and the complexity of the relationships an analytical solution is not feasible. We present here a numerical solution based on a simulation model that explicitly links changes in the relevant variables that characterize the financial environment and the distribution of possible future bank capital ratios. This forward looking quantitative risk assessment methodology allows banks and regulators to identify potential risks before they materialize and make appropriate adjustments to bank portfolio credit qualities, sector and region concentrations, and capital ratios on a bank by bank basis. It also has the potential to be extended so as to assess the risks of correlated failures among a group of financial institutions (i.e., systemic risk analyses). This model was applied by the authors to the study of the risk profile of the largest South African Banks in the context of the Financial System Stability Assessment program undertaken by the IMF in 1999. In the current study, we apply the model to various hypothetical banks operating in the South African financial environment and assess the correlated market and credit risks associated with business lending, mortgage lending, asset and liability maturity matches, foreign lending and borrowing, and direct equity, real estate, and gold investments. It is shown to produce simulated financial environments (interest rates, exchange rates, equity indices, real estate price indices, commodity prices, and economic indicators) that match closely the assumed parameters, and generate reasonable credit transition probabilities and security prices. As expected, the credit quality and diversification characteristics of the loan portfolio, asset and liability maturity mismatches, and financial environment volatility, are shown to interact to determine bank risk levels. We find that the credit quality of a bank's loan portfolio is the most important risk factor. We also show the risk reduction benefits of diversifying the loan portfolio across various sectors and regions of the economy and the importance of accounting for volatility shocks that occur periodically in emerging economies. Banks with high credit risk and concentrated portfolios are shown to have a high risk of failure during periods of financial stress. Alternatively, banks with lower credit risk and broadly diversified loan portfolios across business and mortgage lending are unlikely to fail even during very volatile periods. Asset and liability maturity mismatches generally increase bank risk levels. However, because credit losses are positively correlated with interest rate increases, banks with high credit risk may reduce overall risk levels by holding liabilities with longer maturities than their assets. Risk assessment methodologies which measure market and credit risk separately do not capture these various interactions and thus misestimate overall risk levels.     

The dampening effect of bank foreign liabilities on monetary policy: Revisiting monetary cooperation in East Asia

This paper addresses the cost of formal monetary cooperation from the perspective of monetary policy effectiveness. As banks tend to borrow from abroad in foreign currencies to fund domestic lending, monetary policy may have a reduced effect on the credit market and the economy. Results derived from bank level data in East Asia indicate that bank foreign liabilities significantly reduce the effectiveness of the credit channel of monetary policy, implying a relatively low cost of giving up monetary autonomy.     

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。     

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.     

The effect of banking regulation on cross-border lending

Banking regulations often differ between countries: Some regulators require banks to document their evaluation of firms’ creditworthiness, which determines the banks’ choice of lending technology. In a theoretical model, we study how differences in regulation influence competition between domestic and foreign banks and analyze the effect of regulatory harmonization on cross-border lending. We predict that lending rates are lower and access to credit is easier for firms in a border region if the national regulations differ. Using unique bank- and firm-level data from Germany, we show that firms in a border region have better access to credit if regulation differs.     

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.     

When arm's length is too far: Relationship banking over the credit cycle

We conduct face-to-face interviews with bank chief executive officers to classify 397 banks across 21 countries as relationship or transaction lenders. We then use the geographic coordinates of these banks’ branches and of 14,100 businesses to analyze how the lending techniques of banks near firms are related to credit constraints at two contrasting points of the credit cycle. We find that while relationship lending is not associated with credit constraints during a credit boom, it alleviates such constraints during a downturn. This positive role of relationship lending is stronger for small and opaque firms and in regions with a more severe economic downturn. Moreover, relationship lending mitigates the impact of a downturn on firm growth and does not constitute evergreening of loans.     

Risk Overhang and Loan Portfolio Decisions: Small Business Loan Supply before and during the Financial Crisis

We estimate a structural model of bank portfolio lending and find that the typical U.S. community bank reduced its business lending during the global financial crisis. The decline in business credit was driven by increased risk overhang effects (consistent with a reduction in the liquidity of assets held on bank balance sheets) and by reduced loan supply elasticities suggestive of credit rationing (consistent with an increase in lender risk aversion). Nevertheless, we identify a group of strategically focused relationship banks that made and maintained higher levels of business loans during the crisis.     

Elimination of systemic risk in financial networks by means of a systemic risk transaction tax

Financial markets are exposed to systemic risk (SR), the risk that a major fraction of the system ceases to function, and collapses. It has recently become possible to quantify SR in terms of underlying financial networks where nodes represent financial institutions, and links capture the size and maturity of assets (loans), liabilities and other obligations, such as derivatives. We demonstrate that it is possible to quantify the share of SR that individual liabilities within a financial network contribute to the overall SR. We use empirical data of nationwide interbank liabilities to show that the marginal contribution to overall SR of liabilities for a given size varies by a factor of a thousand. We propose a tax on individual transactions that is proportional to their marginal contribution to overall SR. If a transaction does not increase SR, it is tax-free. With an agent-based model (ABM) (CRISIS macro-financial model), we demonstrate that the proposed ‘Systemic Risk Tax’ (SRT) leads to a self-organized restructuring of financial networks that are practically free of SR. The SRT can be seen as an insurance for the public against costs arising from cascading failure. ABM predictions are shown to be in remarkable agreement with the empirical data and can be used to understand the relation of credit risk and SR.     

Dissecting Foreign Bank Lending Behavior During the 2008–2009 Crisis

This paper analyzes the lending behavior of foreign‐owned banks during the recent global crisis. Using bank‐level panel data for 51 countries, the paper explores the role of affiliate and parent financial characteristics, host location, as well as the impact of parent geographic origin and reach on foreign banks’ credit growth. Overall, the analysis finds robust evidence that foreign banks curtailed the growth of credit relative to other banks, independent of the host region in which they operate. Banks from the United States reduced loan growth less than other parent banks. Neither the global nor regional reach of parent banks influenced the lending growth of foreign affiliates. Parent capitalization and not parent funding explained the behavior of foreign bank credit growth during the global crisis. However, funding did affect the lending behavior of domestic and foreign banks in host countries, with those relying more heavily on deposits suffering a smaller decline in bank lending. Although not the focus of the paper, we also find that government‐owned banks played a countercyclical role in all regions.     

Is there a tradeoff between bank competition and financial fragility?

We use a model of mean-shifting investment technologies to study the relationship between market structure, risk taking and social welfare in lending markets. Introduction of loan market competition is shown to reduce lending rates and to generate higher investments without increasing the equilibrium bankruptcy risk of borrowers. Hence, there need not be a tradeoff between lending market competition and financial fragility. Such a tradeoff may not emerge either when banks compete by conditioning interest rates on investment volumes irrespectively of whether credit rationing takes place or not.     

Capital Requirements,Monetary Policy,and Aggregate Bank Lending: Theory and Empirical Evidence

Capital requirements linked solely to credit risk are shown to increase equilibrium credit rationing and lower aggregate lending. The model predicts that the bank's decision to lend will cause an abnormal runup in the borrower's stock price and that this reaction will be greater the more capital-constrained the bank. I provide empirical support for this prediction. The model explains the recent inability of the Federal Reserve to stimulate bank lending by increasing the money supply. I show that increasing the money supply can either raise or lower lending when capital requirements are linked only to credit risk.     

Multinational Banks and the Global Financial Crisis: Weathering the Perfect Storm?

We use data on the 48 largest multinational banking groups to compare the lending of their 199 foreign subsidiaries during the Great Recession with lending by a benchmark of 202 domestic banks. Contrary to earlier and more contained crises, parent banks were not a significant source of strength to their subsidiaries during 2008–09. When controlling for other bank characteristics, multinational bank subsidiaries had to slow down credit growth almost three times as fast as domestic banks. This was in particular the case for subsidiaries of banking groups that relied more on wholesale funding.     

Currency-Induced Credit Risk in a Dollarized Economy

We analyze the effects of exchange rate fluctuations on corporate credit default in a dollarized economy. The application, before an exogenous exchange rate shock, of a new regulation concerning currency-induced credit risk (CICR) in the Peruvian banking system created natural conditions for a comparison between exposed and unexposed corporate borrowers. We use firm-level data to find that CICR and debt dollarization have opposite effects on credit risk. While CICR increases default, debt dollarization reduces it. Our results suggest that banks transfer exchange risk as a hedging mechanism by lending to such borrowers in dollars only.     

Banks' consumer lending reaction to fintech and bigtech credit emergence in the context of soft versus hard credit information processing

Access to credit information and the ability to process this information effectively determine the conditions of competition in the credit market. Traditionally, local banks have had an advantage in relationship lending (based on soft credit information), whereas foreign banks are considered to base on hard credit information. With the advent of financial technology (or “fintech”) companies (or “fintechs”) and giant technology (or “bigtech”) companies (or “bigtechs”) providing alternative credit, the conditions of competition in the credit market have changed. In this empirical study, we shed light on the nature of the information advantages fintech and bigtech companies have compared to banks and how alternative lenders use them. We analyze competition in the consumer lending segment between banks and fintechs as well as bigtechs providing alternative lending. We used a database combining bank-level characteristics and country-level proxies for 72 countries from 2013 to 2018. We find that in developed markets, the relationships between fintech and bigtech credit providers and banks are similar and competitive in nature. However, banks' consumer lending grows simultaneously with fintech credit market development in emerging economies, but decreases in the aftermath of the emergence of bigtech credit. Fintech credit seems to penetrate market segments not serviced by banks; thus, it plays a complementary role, however only in emerging economies. Bigtech companies compete even more with banks and push some banking offers out of the market, both in emerging and developed economies. Furthermore, we show that domestic and privately-owned banks are more negatively affected by competition from technology-based lending, particularly bigtech, than foreign banks. Thus, bigtech lending may be treated as a serious competition for banks' relationship lending based on soft credit information processing, traditionally provisioned by local banks.     

Lending Booms and Lending Standards

We examine how the informational structure of loan markets interacts with banks' strategic behavior in determining lending standards, lending volume, and the aggregate allocation of credit. We show that, as banks obtain private information about borrowers and information asymmetries across banks decrease, banks may loosen their lending standards, leading to an equilibrium with deteriorated bank portfolios, lower profits, and expanded aggregate credit. These lower standards are associated with greater aggregate surplus and greater risk of financial instability. We therefore provide an explanation for the sequence of financial liberalization, lending booms, and banking crises observed in many emerging markets.     

Evaluating the sovereign and household credit risk in Singapore: A contingent claims approach

This study evaluates the credit risk of the household and government (sovereign) sectors in Singapore using the contingent claims approach (CCA). The CCA model estimates the default probability of both sectors based on the market value of the assets and liabilities of the sectors. Compared to the traditional credit rating system, this model is able to provide numerical estimates of the exposures and default probabilities. We find that from the year 2000 to 2013, variations in the credit risk measures correspond to the economic growth of Singapore. In addition, we suggest that the main factor affecting the credit risks in the government and household sectors in Singapore is the volatility of the assets held by both sectors, given that the asset-to-distress barrier ratios are relatively stable over the past 14 years for both sectors.     

偏低定价、贷款放宽与房地产价格——基于PW模型的中美比较及启示

Pavlov and Wachter(2004,2006)从市场竞争的角度发现住房信贷偏低定价是推动信贷过度扩张从而导致房地产价格膨胀的一个重要原因。本文认为流动性过剩将加剧这种现象,同时贷款放宽也是推动信贷过度扩张导致房地产价格上涨的重要原因。近年来在流动性过剩下中美两国住房信贷市场都出现了偏低定价和贷款放宽现象,其表现和产生的原因具有共性和个性。在中美比较的基础上,本文提出了对我国的几点启示。     

Credit risk assessment in real estate investment trusts: A perspective on blockholding and lending networks

This study assesses the credit risk of Japan's real estate investment trusts (J-REITs) in two related markets during the fiscal years 2008–2017. The first J-REIT market involves blockholders, while the second is a lending market of institutions, i.e., banks and insurers. J-REITs are corporation type of closed-end funds listed on the stock exchange and thus, has corporate credit risk. Consequently, a J-REIT's financial variables and its sponsor have a substantial effect on the J-REIT's credit risk. A sponsor's probability of default is a leading indicator of the J-REIT's default and double default probability acts as a coincident indicator of default. Network analysis indicates that some network centralities are proxies for funding liquidity via blockholding and lending networks. Rather than increases in other centralities, an increase in the degree of lending to a J-REIT explains a decrease in the issued J-REIT's credit risk.