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We analyzed the loan guarantees that the Japanese government provided for banks’ loans to small and medium-sized enterprises (SMEs). We modeled and estimated how much and under what conditions loan guarantees affected banks’ risk-taking and banks’ non -guaranteed lending. In the presence of controls for bank capital and other factors that might affect supplies of bank credit, our estimates supported our model's implications that loan guarantees increased banks’ risk-taking. Consistent with our model, our estimates imply that, when banks initially had fewer guaranteed loans and then got more guaranteed loans, guaranteed loans were complements to, rather than substitutes for, non-guaranteed loans. As complements, loan guarantees could be “high-powered” in that they generated increases not only in guaranteed loans, but also increases in non -guaranteed loans that were a multiple of the increases in guaranteed loans. In addition, banks’ having more capital was associated with doing more non-guaranteed lending.

We present the first empirical study of loan searching strategies and loan granting decisions in a context where banks observe whether applicants have unsuccessfully applied for credit to other lenders in the past. Our identification strategy benefits from the use of granular data on loan applications and exploits the fact that evaluating lenders observe only the rejections received by a borrower up to six months before the current application. We document that past rejections diminish the probability of approval and increase the probability that a loan search is interrupted.

Despite the prominent role that information plays in the economic theory of credit markets, no direct evidence exists on the causal relationship between the availability of information about loan applicants and loan performance. This paper provides such evidence by exploiting an unanticipated change in the amount of information visible in an online market for loans to measure the impact of lender information on loan outcomes. Conditional on data available in both periods, allowing lenders to access more borrower credit information substantially reduced default rates among high-risk borrowers by 17 percentage points on average but had almost no effect on low-risk borrowers. Immediate lender returns increased by about 12 percentage points and took 5 weeks to decay. Among high-risk loans, returns converged within credit grade bins. Using panel information on lenders, I find that the information improved loan performance in two ways: first, it significantly improved the screening performed by lenders already active on the website. Second, it attracted new lenders who were better at screening loan applicants and earned higher returns. I test whether the reform resulted in selection among loan applicants using data that is unobserved by lenders in both periods. I find that there was no change in unobserved credit quality among loan applicants, but that the information improved lenders’ ability to select the (unobservably) higher quality borrowers from the pool of applicants. I also find suggestive evidence that lenders’ beliefs about loan applicants, as measured by the minimum interest rate at which they were willing to lend, converged.

This paper examines whether securitization has an ex-post effect on residential loan renegotiation. It makes two main contributions to the existing literature. First, this paper evaluates the re-default and self-cure rates of loans using bank-reported loan renegotiation data. Second, it conducts a transition probability study to better understand the re-default and self-cure dynamics by time and previous loan state. I find that previously delinquent portfolio loans are less likely to re-default and more likely to self-cure than comparable securitized loans during the intermediate time frame, but the difference diminishes afterwards. For previously cured loans, portfolio loans and securitized loans have generally similar re-default and self-cure rates over time. This paper emphasizes that it is important to understand the dynamic transition behavior of mortgage loans.

How should loan contracts for financing projects in countries with high political risk be designed? We argue that non-recourse project finance loans and the participation of development banks in the loan syndicate help mitigate political risk. We test these arguments by conducting a study with a sample of 4978 loans made to borrowers in 64 countries. Our results show that if political risk is higher, then project finance loans are more likely to be used, and development banks are more likely to participate in the syndicate. We also show that the terms of the loan contract depend not only on the political risk but also on the legal and institutional environment as well.

Previous research suggests that loan officers play a critical role in relationship lending by producing soft information about SMEs. For the first time, we empirically confirm this hypothesis. We also examine whether the role of loan officers differs from small to large banks as predicted by Stein (2002). While we find that small banks produce more soft information, the capacity and manner in which loan officers produce soft information does not seem to differ between large and small banks. This suggests that, although large banks may produce more soft information, they likely tend to concentrate their resources on transactions lending.

In this paper, using firm-level cross-sectional data in the US, we report that interest rates on loans extended by inside banks are significantly lower than those on loans extended by outside banks for younger firms in concentrated loan markets, while such loan rate differences are not clearly observed in competitive loan markets. The analytical model presented in this paper predicts that an inside bank is more likely to quote rates lower than those of outside banks to capture a customer in order to gain time to establish exclusive access to the customer’s private information, counting on the consequent future rent from informational advantages over rival banks, if the inside bank intends to acquire private information about the borrower’s creditworthiness. In light of this prediction, we conclude that the above empirical finding is consistent with the hypothesis that increased competition discourages banks from collecting borrower-specific private information.

Lender–borrower relationships facilitate monitoring in small business loans. We investigate how the duration and scope of the bank–borrower relationship affect the decision to secure line-of-credit and nonline-of-credit loans. We find that the likelihood of collateralizing a line of credit decreases with the length of the bank–borrower relationship. For nonline-of-credit loans, however, the incidence of collateral pledge decreases with the number of lender-provided financial services used by the borrower. Our finding indicates that the mechanism through which banks obtain private information depends on the type of the loan. Pooling across loan types may dilute the impact of both the duration and scope on the terms of a loan.

We analyze the loan pricing implications of the reform of bank capital regulation known as Basel II. We consider a perfectly competitive market for business loans where, as in the model underlying the internal ratings based (IRB) approach of Basel II, a single risk factor explains the correlation in defaults across firms. Our loan pricing equation implies that low risk firms will achieve reductions in their loan rates by borrowing from banks adopting the IRB approach, while high risk firms will avoid increases in their loan rates by borrowing from banks that adopt the less risk-sensitive standardized approach of Basel II. We also show that only a very high social cost of bank failure might justify the proposed IRB capital charges, partly because the net interest income from performing loans is not counted as a buffer against credit losses. A net interest income correction for IRB capital requirements is proposed.

We test a new hypothesis that may help explain the procyclicality of bank lending. The institutional memory hypothesis is driven by deterioration in the ability of loan officers over the bank's lending cycle that results in an easing of credit standards. We test this hypothesis using data from individual US banks over 1980–2000: over 200,000 bank-level observations on commercial loan growth, over 2,000,000 loan-level observations on interest rate premiums, and over 2000 bank-level observations on credit standards and loan spreads from bank management survey responses. The empirical analysis supports the hypothesis, although there are differences by bank size class.

We investigate relationship lending using detailed contract information from nearly 18,000 bank loans to small Belgian firms operating within the continental European bank-based system. Specifically, we investigate the impact of different measures of relationship strength on price and nonprice terms of the loan contract. We test for the possibility of rent shifting by banks. The evidence shows two opposing effects. On the one hand, the loan rate increases with the duration of a bank–firm relationship. On the other hand, the scope of a relationship, defined as the purchase of other information-sensitive products from a bank, decreases the loan's interest rate substantially. Relationship duration and scope thus have opposite effects on loan rates, with the latter being more important. We also find that the collateral requirement is decreasing in the duration of the relationship and increasing in its scope. Journal of Economic Literature Classification Numbers: G21, G32.

Why do banks fund loans embodying considerable borrower-specific information with liquid deposits? I address this question by examining the disciplinary effect of liquid deposits in a framework where banks' production of nontransferable borrower information is explicitly considered. I show that deposit liquidity motivates banks to provide greater monitoring of their loan applicants despite the general lack of observability of bank monitoring and bank loan quality. The analysis provides an important link between the two activities in which banks are viewed as “special”—their liquidity provision through demand deposits and their lending to information-intensive borrowers.Journal of Economic LiteratureClassification Numbers: G21, G28.

This paper investigates the relationship between a firm′s loan commitment demand and its overall capital structure. I develop a model which demonstrates that a loan commitment leads a firm to higher privately optimal debt level and a lower cost of debt funds; these results are driven by the loan commitment′s ability to attenuate the potential moral hazard problems attendant upon debt financing. I confront the predictions with cross-sectional data, and find that the availability of unused loan commitment financing is positively related to firm leverage and negatively related to cost of debt funds. Journal of Economic Literature Classification Numbers: D82, G21, G32.