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.     

The effect of information sharing between lenders on access to credit,cost of credit,and loan performance – Evidence from a credit registry introduction

Using a rich dataset from a commercial bank in Albania, we utilize the introduction of a public credit registry by the Albanian central bank in January 2008 as a natural experiment to analyze the effect of information sharing between lenders on (1) access to credit, (2) cost of credit, and (3) loan performance. Our results suggest that information sharing by means of a credit registry does not affect access to or cost of credit, but improves loan performance. Specifically, loans granted after the introduction of the credit registry are 3% points less likely of turning problematic, representing a 35% reduction of the overall sample average arrear probability. We further find that the effect is more pronounced for repeat borrowers and in areas, where competition is weak. This indicates that information sharing among lenders improves loan performance mainly by disciplining borrowers to repay in their concern about future access to credit.     

The emergence of information sharing in credit markets

We provide the first systematic empirical analysis of how asymmetric information and competition in the credit market affect voluntary information sharing between lenders. We study an experimental credit market in which information sharing can help lenders to distinguish good borrowers from bad ones. Lenders may, however, also lose market power by sharing information with competitors. Our results suggest that asymmetric information in the credit market increases the frequency of information sharing between lenders significantly. Stronger competition between lenders reduces information sharing. In credit markets where lenders may fail to coordinate on sharing information, the degree of information asymmetry, rather than lender competition, drives actual information sharing behavior.     

Information Sharing in Credit Markets

We present a model with adverse selection where information sharing between lenders arises endogenously. Lenders' incentives to share information about borrowers are positively related to the mobility and heterogeneity of borrowers, to the size of the credit market, and to advances in information technology; such incentives are instead reduced by the fear of competition from potential entrants. In addition, information sharing increases the volume of lending when adverse selection is so severe that safe borrowers drop out of the market. These predictions are supported by international and historical evidence in the context of the consumer credit market.     

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.     

Institutional Differences and International Private Debt Markets: A Test Using Mandatory IFRS Adoption

Institutional differences between countries result in additional information risks between borrowers and lenders in cross‐border private loans. This study examines the effect of these information risks on the structure of optimal debt contracts in international (cross‐border) versus domestic private debt markets. Using mandatory IFRS adoption as an indicator for institutional changes that reduced differences between countries, I compare attributes of international versus domestic loans before and after IFRS adoption. I find that, in the pre‐IFRS period, international loans are associated with a higher credit spread, a weaker relationship between the bank and the borrower, a more diffuse loan syndicate, and less reliance on accounting‐based covenants than domestic loans. These results are consistent with incremental information risks in international debt markets that make it more costly for lenders to screen and monitor borrower credit quality, resulting in a more arm's‐length relationship between borrowers and lenders. Many of these associations attenuate after IFRS adoption, suggesting that the pre‐IFRS differences in contract terms are driven by incremental information risks related to institutional differences between countries. My findings imply that incremental information risks result in a different optimal contract in international debt contracts compared to domestic debt contracts.     

Implicit benefits and financing

Social relationship and business connections create implicit benefits between borrowers and lenders. We model how implicit benefits and repayment enforcement costs influence credit allocation, cost, and renegotiation. The optimal solution illustrates that financing with implicit benefits may achieve lower financing costs, higher managerial effort, and better outcomes for both borrowers and lenders. This result is consistent with the continuing expansion of alternative financing despite formal financial intermediation, the rise of corporate insider debt, and joint ownership of debt and equity. The growing size and complexity of projects and changes in community relationships can explain expansion of financing with standard intermediation.     

Price Discovery and Dissemination of Private Information by Loan Syndicate Participants

We delineate key channels through which flows of confidential information to loan syndicate participants impact the dynamics of information arrival in prices. We isolate the timing of private information flows by estimating the speed of price discovery over quarterly earnings cycles in both secondary syndicated loan and equity markets. We identify borrowers disseminating private information to lenders relatively early in the cycle with firms exhibiting relatively early price discovery in the secondary loan market, documenting that price discovery is faster for loans subject to financial covenants, particularly earnings‐based covenants; for borrowers who experience covenant violations; for borrowers with high credit risk; and for loans syndicated by relationship‐based lenders or highly reputable lead arrangers. We then ask whether early access to private information in the loan market accelerates the speed of information arrival in stock prices. We document that the stock returns of firms identified with earlier private information dissemination to lenders indeed exhibit faster price discovery in the stock market, but only when institutional investors are involved in the firm's syndicated loans. Further, the positive relation between institutional lending and the speed of stock price discovery is more pronounced in relatively weak public disclosure environments. These results are consistent with institutional lenders systematically exploiting confidential syndicate information via trading in the equity market.     

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.     

Information Losses in a Dynamic Model of Credit

This paper examines dynamic information losses associated with loan terminations. We assume that the aggregated returns of current borrowers contain information about the mean returns to future borrowers. In a competitive loan market, the value of this information is not fully internalized by individual borrowers and lenders, and loan decisions fail to be first best. Introducing heterogeneous borrowers, who know their own risk characteristics better than lenders, safer borrowers are less willing to borrow when risk premia rise. As they cease borrowing, the information generated in credit markets becomes noisier and this tends to increase risk premia. The model produces alternating and persistent periods of “tight” and “loose” credit.     

Beyond the Transaction: Banks and Mortgage Default of Low‐Income Homebuyers

We evaluate the effects of the lending institution and soft information on mortgage loan performance for low‐income homebuyers. We find that even after controlling for the propensity of a borrower to get a loan from a local bank based on observable characteristics, those who receive a loan from a local bank branch are significantly less likely to become delinquent or default than other bank or nonbank borrowers, consistent with an unobserved information effect. These effects are most pronounced for loans originated to borrowers with marginal credit, where soft information may have a stronger effect. These findings support previous research on information‐driven lending, and provide additional explanation for observed differences in mortgage loan performance between bank and nonbank lenders.     

Informational Frictions and the Credit Crunch

In this paper, I estimate the magnitude of an informational friction limiting credit reallocation to firms during the 2007 to 2009 financial crisis. Because lenders rely on private information when deciding which relationship to end, borrowers looking for a new lender are adversely selected. I show how to separately identify private information from information common to all lenders but unobservable to the econometrician by using bank shocks within a discrete choice model of relationships. Quantitatively, these informational frictions appear to be too small to explain the credit crunch in the U.S. syndicated corporate loan market.     

Credit Default Swaps and Managers’ Voluntary Disclosure

We investigate how the availability of traded credit default swaps (CDSs) affects the referenced firms’ voluntary disclosure choices. CDSs enable lenders to hedge their credit risk exposure, weakening their incentives to monitor borrowers. We predict that reduced lender monitoring in turn leads shareholders to intensify their monitoring and demand increased voluntary disclosure from managers. Consistent with this expectation, we find that managers are more likely to issue earnings forecasts and forecast more frequently when traded CDSs reference their firms. We further find a stronger impact of CDS availability on firm disclosure when (1) lenders have higher ability and propensity to hedge credit risk using CDSs, and (2) lender monitoring incentives and monitoring strength are weaker. Consistent with an increase in shareholder demand for public information disclosure induced by a reduction in lender monitoring, we find a stronger effect of CDSs on voluntary disclosure for firms with higher institutional ownership and stronger corporate governance. Overall, our findings suggest that firms with traded CDS contracts enhance their voluntary disclosure to offset the effect of reduced monitoring by CDS‐protected lenders.     

Sharing information in the credit market: Contract-level evidence from U.S. firms

We investigate the impact of lenders' information sharing on firms' performance in the credit market using rich contract-level data from a U.S. credit bureau. The staggered entry of lenders into the bureau offers a natural experiment to identify the effect of lenders' improved access to information. Consistent with the predictions of 35 and 36 and Pagano and Jappelli (1993), we find that information sharing reduces contract delinquencies and defaults, especially when firms are informationally opaque. The results also reveal that information sharing does not reduce the use of guarantees, that is, it may not loosen lending standards.     

Borrower Self-Selection,Underwriting Costs,and Subprime Mortgage Credit Supply

In the U.S., households participate in two very different types of credit markets. Personal lending is characterized by continuous risk-based pricing in which lenders offer households a continuous distribution of borrowing possibilities based on estimates of their creditworthiness. This contrasts sharply with mortgage markets where lenders specialize in specific risk categories of borrowers and mortgage supply is stepwise linear. The contrast between continuous lending for personal loans and discrete lending by specialized lenders for mortgage credit has led to concerns regarding the efficiency and equity of mortgage lending. This paper sheds both theoretical and empirical light on the differences in the two credit markets. The theory section demonstrates why, in a perfectly competitive credit market where all lenders have the same underwriting technology, mortgage credit supply curves are stepwise linear and lenders specialize in prime or subprime lending. The empirical section then provides evidence that borrowers are being effectively sorted based on risk characteristics by the market.     

Bank Branch Presence and Access to Credit in Low‐ to Moderate‐Income Neighborhoods

Banks specialize in lending to informationally opaque borrowers by collecting soft information about them. Some researchers claim that this process requires a physical presence in the market to lower information collection costs. This paper provides evidence in support of this argument in the mortgage market for low‐income borrowers whose access to credit is limited by their inadequate credit histories. Mortgage originations increase and interest spreads decline when there is a bank branch located in a low‐ to moderate‐income neighborhood.     

TARP announcement,bank health,and borrowers’ credit risk

Theory suggests that unhealthy banks exhibit more pronounced flight-to-quality behavior during financial crises and, hence, the infusion of capital through unhealthy banks is less effective in relieving the liquidity shocks of vulnerable borrowers. We test these predictions by investigating how the financial health of leading US banks influenced their borrowers’ credit risk surrounding the announcement of the Troubled Asset Relief Program (TARP). Changes in borrower credit risk, measured by credit default swap (CDS) spreads, should reflect the expected relief from liquidity shocks and other benefits of rescuing banks, such as maintaining the existing lending relationships. Consistent with the theory, prior to the TARP capital infusions, unhealthy banks’ borrowers with high leverage experienced a greater increase in their credit risk relative to similar healthy banks’ borrowers. Following the event, the CDS market anticipated less liquidity relief to these vulnerable unhealthy banks’ borrowers, but more liquidity relief to the vulnerable healthy banks’ borrowers.     

Financial Statements as Monitoring Mechanisms: Evidence from Small Commercial Loans

Using a data set that records banks’ ongoing requests of information from small commercial borrowers, we examine when banks use financial statements to monitor borrowers after loan origination. We find that banks request financial statements for half the loans and this variation is related to borrower credit risk, relationship length, collateral, and the provision of business tax returns, but in complex ways. The relation between borrower risk and financial statement requests has an inverted U‐shape; and tax returns can be both substitutes and complements to financial statements, conditional on borrower characteristics and the degree of bank–borrower information asymmetry. Frequent financial reporting is used to monitor collateral, but only for non–real estate loans and only when the collateral is easily accessible to lenders. Collectively, our results provide novel evidence of a fundamental information demand for financial reporting in monitoring small commercial borrowers and a specific channel through which banks fulfill their role as delegated monitors.     

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.     

Lock‐In Effects in Relationship Lending: Evidence from DIP Loans

Do prior lending relationships result in pass‐through savings (lower interest rates) for borrowers, or do they lock in higher costs for borrowers? Theoretical models suggest that when borrowers experience greater information asymmetry, higher switching costs, and limited access to capital markets, they become locked into higher costs from their existing lenders. Firms in Chapter 11 seeking debtor‐in‐possession (DIP) financing often fit this profile. We investigate the presence of lock‐in effects using a sample of 348 DIP loans. We account for endogeneity using the instrument variable (IV) approach and the Heckman selection model and find consistent evidence that prior lending relationship is associated with higher interest costs and the effect is more severe for stronger existing relationships. Our study provides direct evidence that prior lending relationships do create a lock‐in effect under certain circumstances, such as DIP financing.