So what do I get? The bank's view of lending relationships

While many empirical studies document borrower benefits of lending relationships, less is known about lender benefits. A relationship lender's informational advantage over a non-relationship lender may generate a higher probability of selling information-sensitive products to its borrowers. Our results show that the probability of a relationship lender providing a future loan is 42%, while for a non-relationship lender, this probability is 3%. Consistent with theory, we find that borrowers with greater information asymmetries are significantly likely to obtain future loans from their relationship lenders. Relationship lenders are likely to be chosen to provide debt/equity underwriting services, but this effect is economically small.     

Tests of ex ante versus ex post theories of collateral using private and public information

Collateral is a widely used, but not well understood, debt contracting feature. Two broad strands of theoretical literature explain collateral as arising from the existence of either ex ante private information or ex post incentive problems between borrowers and lenders. However, the extant empirical literature has been unable to isolate each of these effects. This paper attempts to do so using a credit registry that is unique in that it allows the researcher to have access to some private information about borrower risk that is unobserved by the lender. The data also include public information about borrower risk, loan contract terms, and ex post performance for both secured and unsecured loans. The results suggest that the ex post theories of collateral are empirically dominant, although the ex ante theories are also valid for customers with short borrower–lender relations that are relatively unknown to the lender.     

A lender-based theory of collateral

We consider an imperfectly competitive loan market in which a local relationship lender has an information advantage vis-à-vis distant transaction lenders. Competitive pressure from the transaction lenders prevents the local lender from extracting the full surplus from projects. As a result, the local lender inefficiently rejects marginally profitable projects. Collateral mitigates the inefficiency by increasing the local lender's payoff from precisely those marginally profitable projects that she inefficiently rejects. The model predicts that, controlling for observable borrower risk, collateralized loans are more likely to default ex post, which is consistent with the empirical evidence. The model also predicts that borrowers for whom local lenders have a relatively smaller information advantage face higher collateral requirements, and that technological innovations that narrow the information advantage of local lenders, such as small business credit scoring, lead to a greater use of collateral in lending relationships.     

Credit evaluation,information production,and financial intermediation

Financial intermediaries such as banks, saving and loan institutions, and insurance companies play a large and important role in highly developed economies. The economic significance of financial intermediaries results from their making arrangements between borrowers and lenders more efficiently than if these agents had to trade directly. The intent of this article is to provide a better understanding of the advantage that a financial institution has over an individual lender. This research treats intermediaries as producers of information in the credit evaluation process. The lender produces borrower information that revises the expected profit of the credit decision. Though the production of credit itself holds no economic advantage for institutions over individuals. The opportunity to produce information will provide economies of scale in lending and will help to explain the existence of financial intermediaries.     

Mortgage Contracts,Strategic Options and Stochastic Collateral

This paper offers a game-theoretic model for both the analysis and valuation of mortgage contracts in the context of an economy with complete information and complete contingent claims markets. We analyze the equilibrium strategy of the lender, who holds an option over the magnitude of mortgage credit extended per dollar of collateral offered, and the mortgagor, who holds options to default or prepay, in a class of intertemporal mortgage contracts collateralized by property evolving according to a random process which is common knowledge to both parties to the mortgage contract. Using continuous–time arbitrage valuation principles, we derive the value of the mortgage contract to both parties and show, through both analytical solutions and numerical simulations, that Markov perfect equilibria exist in which, among other properties, a lower flow of housing services accruing to the borrower, per dollar of initial house value, and a correspondingly lower rate of effective depreciation, will elicit a larger volume of funds offered by a lender; the amount of credit offered, the values of the contract to both lender and mortgagor, and the expected losses to both parties from costly bankruptcy are highly sensitive to the perceived volatility of the value of the property collateralizing the mortgage, even in an economy with complete markets or risk neutrality on the parts of lender and borrower; the upper limit on mortgage credit offered by a rational lender may be a small fraction of the current fair market value of the property, regardless of the contractual yield offered by the borrower, and will decrease, at each such yield, as bankruptcy costs or housing service flows increase; and under significant but plausible values for bankruptcy and costs of liquidating property under foreclosure, the flow of mortgage credit can become negatively related to the spread of the mortgage yield over the riskless rate, with the lender preferring a lower contractual yield to a higher one.     

A RECONSIDERATION OF DISCRIMINATION IN MORTGAGE UNDERWRITING WITH DATA FROM A NATIONAL MORTGAGE BANK

This paper, analyzing over 12,000 conventional and FHA/VA loan applications to a national mortgage lender in the 1989–1990 period, argues that mortgage denials occur only in a minority of cases, where the borrower has not learned the lender's underwriting rules in advance. Widespread borrower foreknowledge of such rules is demonstrated by a discriminant finding that 9 of 10 borrowers correctly choose whether to apply under FHA vs. conventional programs, based on financial and equity characteristics. This contrasts with the far lower ability of econometric models to identify approval/denial outcomes. It is revealing that denials on the basis of credit problems, the only important information generally not available until post application, account for most racial/ethnic differences and borrower education affects the probability of approval of government insured loans more than loan to value. Contrary to common assumptions, race differences in FHA/VA lending a re at least as pronounced as in conventional lending; and outcomes for Asians, correctly measured, diverge as much from outcomes for whites, as do outcomes for Hispanics and African American.     

SOFT INFORMATION PRODUCTION IN SME LENDING

We analyze the determinants of soft information production on bank clients assuming that this information is collected through close contact with borrowers. After classifying contacts based on the initiator and the location of the lender–borrower meetings, we find that banks have more direct contact with firms characterized by low risk and low use of their banking products, indicating that there may also be commercial reasons for such contact. Our findings suggest that the production of soft information may follow a quality selection process in which banks prefer to strengthen relationships with clients characterized by low risk and low use of their products. We provide additional evidence of the role of soft information in ongoing interactions between banks and borrowers. Banks that initiate contacts at the firm location result in future lower risk, lower spreads, and increased product sales.     

信息不对称下信贷市场的惜贷与挤出效应

通过收集和处理借贷平台日常运行中形成的真实数据,本文发现信息不对称条件下信贷市场逆向选择会导致市场萎缩的两类效应;其一为"惜贷"效应:随着信息不对称程度的加深,借贷双方最终达成的合约额度降低和交易匹配时间延长,市场的有效供给萎缩;其二为"挤出"效应:随着信息不对称程度的恶化,借贷双方合约的利率将会升高、期限缩短,市场的有效需求萎缩。通过完善人工智能、大数据和区块链等金融科技并加强银企关系,可以降低信息不对称,进而缓解逆向选择带来的上述不利影响。     

Credit Markets in Northern Nigeria: Credit as Insurance in a Rural Economy

This article addresses the issues of incomplete markets andimperfect information in the context of credit markets in ruralnorthern Nigeria. In much recent theoretical literature, theproblems of moral hazard and adverse selection are assumed tobe decisive for the organization of agrarian institutions. Incontrast, it is found that in the four villages surveyed credittransactions take advantage of the free flow of informationwithin rural communities. Information asymmetries between borrowerand lender are unimportant, and their institutional consequences—theuse of collateral and interlinked contracts—are absent.Credit transactions play a direct role in pooling risk betweenhouseholds through the use of contracts in which the repaymentowed by the borrower depends on the realization of random productionshocks by both the borrower and the lender.     

The Creditor Channel of Liquidity Crises

This paper presents a model to study the transmission of liquidity shocks across financial institutions through the creditor channel. In the model, a borrower institution obtains funds from a large institutional lender and small investors. When the large lender's asset market is hit by a liquidity shock, it might decide to withdraw funding extended to the borrower. The potential withdrawal by the large lender causes small investors to panic and to close positions even if the large lender does not. Facing funding problems, the borrower has to cut its activities, contributing to further shocks to the supply of market liquidity. The original shock is exacerbated, which reinforces withdrawals by all creditors. The model helps explain how the spreading of liquidity shocks from the broker–dealer sector to the hedge fund sector and the feedback contribute to a systemic crisis.     

Securitization and moral hazard: Evidence from credit score cutoff rules

A growing literature exploits credit score cutoff rules as a natural experiment to estimate the moral hazard effect of securitization on lender screening. However, these cutoff rules can be traced to underwriting guidelines for originators, not for securitizers. Moreover, loan-level data reveal that lenders change their screening at credit score cutoffs in the absence of changes in the probability of securitization. Credit score cutoff rules thus cannot be used to learn about the moral hazard effect of securitization on underwriting. By showing that this evidence has been misinterpreted, our analysis should move beliefs away from the conclusion that securitization led to lax screening.     

The Insurance Is the Lemon: Failing to Index Contracts

We model the widespread failure of contracts to share risk using available indices. A borrower and lender can share risk by conditioning repayments on an index. The lender has private information about the ability of this index to measure the true state that the borrower would like to hedge. The lender is risk-averse and thus requires a premium to insure the borrower. The borrower, however, might be paying something for nothing if the index is a poor measure of the true state. We provide sufficient conditions for this effect to cause the borrower to choose a nonindexed contract instead.     

Exclusion,competition, and regulation in the retail loan market

Exclusion of borrowers from credit markets became a primary concern for regulators during the recovery from the recent recession. The paper analyzes loan-making institutions that set both interest rates and minimum credit requirements. We propose analytical measures of the degree of borrower exclusion from receiving loans. We analyze five market structures: Single lender, regulated interest rate, entry, interest rate discrimination, and highly-competitive lenders. Interest rate regulation improves total welfare relative to a single lender market. However, entry of a second lender reduces exclusion and generates higher total welfare. In the absence of fixed costs, perfect and Bertrand competition are optimal.     

Rare event risk and emerging market debt with heterogeneous beliefs

In a setting where the lender and the borrower have heterogeneous beliefs about the likelihood of a disastrous shock to the borrower's economy, we study the debt contract that defaults at the occurrence of that shock, as proposed by Barro (2006). We find that a higher belief by the lender compared to the borrower can lead to countercyclical interest rates and credit spreads in non-default times, and to an increase in the borrower's indebtedness in default times, as often observed in emerging market economies. When calibrating the model to prices in the credit default swap market, we show that heterogeneous beliefs can account for more than 40% of the variation in CDS spreads associated with shocks to the borrower's economy in non-default times.     

Credit Relationships: Evidence from Experiments with Real Bankers

We experimentally examine to what extent long‐term “lender–borrower” relationships mitigate moral hazard. The originality of our research lies in recruiting not only students but also commercial and social bankers. The opportunity to engage in bilateral long‐term relationships mitigates the repayment problem. Lenders take advantage of their long‐term situation by increasing their rates. Consequently, borrowers are incited to take more risk. Improving information disclosure ameliorates the repayment but does not incite lenders to offer more credits. Social bankers exhibit a higher probability of granting a loan and make fairer credit offers to borrowers than the other subject pools do.     

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.     

The effect of mortgage form on borrower interest rate risk: A portfolio theory approach

The problems faced by U.S. regulatory authorities in controlling residential housing cycles have resulted in a continuing search for methods of reducing the volatility of housing construction. One of the most widely discussed methods of decreasing volatility in mortgage credit is the variable rate mortgage (VRM) whose interest rate is linked to some interest rate index. In this paper we employ a portfolio theory approach to examine the relative riskiness of the VRM and fixed rate mortgage (FRM) for borrower and lender. As expected, we find that relative riskiness depends on the composition of the borrower/lender portfolio of assets and liabilities.     

Information asymmetry,external certification,and the cost of bank debt

This paper examines how the cost of bank debt reflects public information about borrower quality, and whether such information complements or substitutes the private information of banks. Using a sample of small business loans, and the award of a competitive public subsidy as an observable positive signal of external certification, we find that certification is associated with a lower cost of debt for subsidy recipients if the amount of private information of the lender is limited or the local credit market is less competitive. Public information loses importance once the bank accumulates information over the course of the lending relationship or the credit market is more competitive. Our results highlight a positive effect of external certification, driven by the signal it provides to both the lending bank and its competitors, and suggest that public and private information can be substitutes in the pricing of bank debt.     

Financial crises and the composition of cross-border lending

We examine the composition and drivers of cross-border bank lending between 1995 and 2012, distinguishing between syndicated and non-syndicated loans. We show that on-balance sheet syndicated loan exposures, which account for almost one third of total cross-border loan exposures, increased during the global financial crisis due to large drawdowns on credit lines extended before the crisis. Our empirical analysis of the drivers of cross-border loan exposures in a large bilateral dataset leads to three main results. First, banks with lower levels of capital favor syndicated over other kinds of cross-border loans. Second, borrower country characteristics such as level of development, economic size, and capital account openness, are less important in driving syndicated than non-syndicated loan activity, suggesting a diversification motive for syndication. Third, information asymmetries between lender and borrower countries became more binding for both types of cross-border lending activity during the recent crisis.     

THE INFORMATIONAL ROLE OF BANK LOAN RATINGS

We analyze the relatively new phenomenon of credit ratings on syndicated loans, asking first whether they convey information to the capital markets. Our event studies show that initial loan ratings and upgrades are not informative, but downgrades are. The market anticipates downgrades to some extent, however. We also examine whether public information reflecting borrower default characteristics explains cross‐sectional variation in loan ratings and find that ratings are only partially predictable. Our evidence suggests that loan and bond ratings are not determined by the same model. Finally, we estimate a credit spread model incorporating bank loan ratings and other factors reflecting default risk, information asymmetry, and agency problems. We find that ratings are related to loan rates, given the effect of other influences on yields, suggesting that ratings provide information not reflected in financial information. Ratings may capture idiosyncratic information about recovery rates, as each of the agencies claims, or information about default prospects not available to the market.