Bank competition and the cost of bank loans

I comprehensively study the effect of bank competition on the cost of bank loans using U.S. bank loan data from 1995 to 2010. The cost of bank loans is analyzed with regard to loan spreads and covenant intensity. I show that loan spreads and covenant intensity are negatively related to bank competition. I also find that non-investment grade and financially constrained firms benefit more from bank competition than investment grade and financially unconstrained firms do. Lenders with low market power are more willing to reduce loan price than lenders with high market power in competitive lending markets. The results suggest that lenders give favorable loan terms to borrowers in competitive loan markets.     

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.     

Economic value in tranching of syndicated loans

This paper presents a theory to explain the economic value of tranching and provides empirical evidence to support the theoretical implications. I show that riskier firms are more likely to take loans with multiple tranches. Therefore, the average credit spread on a syndicated loan with multiple tranches is higher than that on a non-tranched loan. However, after accounting for the risk characteristics of a tranched loan, I show that borrowings that are a part of tranched loans have lower credit spreads than otherwise identical non-tranched loans. I also show that the benefits of tranching accrue primarily to riskier borrowers.     

Asymmetric information,adverse selection,and the pricing of CMBS

We demonstrate that asymmetric information between sellers (loan originators) and purchasers (investors and securities issuers) of commercial mortgages gives rise to a standard lemons problem, whereby portfolio lenders use private information to liquidate lower quality loans in commercial mortgage-backed securities (CMBS) markets. Conduit lenders, who originate loans for direct sale into securitization markets, mitigate problems of asymmetric information and adverse selection in loan sales. Our theory provides an explanation for the pricing puzzle observed in CMBS markets, whereby conduit CMBS loans are priced higher than portfolio loans, despite widespread belief that conduit loans are originated at lower quality. Consistent with theoretical predictions of a lemons discount, our empirical analysis of 141 CMBS deals and 16,760 CMBS loans shows that, after controlling for observable determinants of loan pricing, conduit loans enjoyed a 34 basis points pricing advantage over portfolio loans in the CMBS market.     

地理距离、契约设计与企业内部资本市场借贷风险防控——来自中国企业集团内部借贷交易的证据

地理因素对保持距离型市场交易的影响已被大量文献证实,但系统考察地理因素是否以及如何影响企业内部经济活动的研究仍十分匮乏。基于手工搜集整理的企业集团内部委托贷款这一独特数据,我们实证考察了地理距离对企业集团内部借贷契约设计的影响及相关的风险防控问题。实证结果显示,借贷距离越远,针对借款者的契约设计越严苛,不仅贷款者更可能要求借款者提供抵押担保,而且对资金用途施加限制的概率也大幅增加。进一步研究发现,与地理距离阻碍了信息搜集和监督的经济直觉一致,距离对企业内部借贷契约严苛性的推高作用会因为借贷双方之间的信息摩擦问题差异而改变。而且,基于借贷违约信息的检验结果表明,作为应对信息不对称的机制,动态调整契约严苛性这一精巧契约设计有效降低了企业内部贷款违约风险。本文不仅增进了对地理因素影响企业内部资本配置的认识,而且加深了对企业内部借贷契约设计的理解,从而对如何有效防控企业内部资本市场运作风险具有启示意义。     

Auditor choice and information asymmetry: evidence from international syndicated loans

Analyzing a large sample of non-US public firms from 31 countries that obtain private loans, we find that loan syndicates that lend to borrowers that employ Big N auditors are larger and less concentrated and that the lead arrangers and largest investors of these syndicates are able to hold a lower proportion of the loan after issuance. Further analysis demonstrates that this effect exists only in countries with strong creditor rights and in those countries with high levels of societal trust, suggesting that both sound formal and informal institutional factors are prerequisites for lenders and borrowers to benefit from differential audit quality on loan syndicate structure efficiency. Furthermore, we find that the loan syndicate structure benefits for borrowers that employ Big N auditors are higher for borrowers with greater information asymmetry problems, but we do not find that Big N audits are able to address the information asymmetry and moral hazard issues between the lenders themselves.     

地理距离、契约设计与企业内部资本市场借贷风险防控——来自中国企业集团内部借贷交易的证据

地理因素对保持距离型市场交易的影响已被大量文献证实,但系统考察地理因素是否以及如何影响企业内部经济活动的研究仍十分匮乏。基于手工搜集整理的企业集团内部委托贷款这一独特数据,我们实证考察了地理距离对企业集团内部借贷契约设计的影响及相关的风险防控问题。实证结果显示,借贷距离越远,针对借款者的契约设计越严苛,不仅贷款者更可能要求借款者提供抵押担保,而且对资金用途施加限制的概率也大幅增加。进一步研究发现,与地理距离阻碍了信息搜集和监督的经济直觉一致,距离对企业内部借贷契约严苛性的推高作用会因为借贷双方之间的信息摩擦问题差异而改变。而且,基于借贷违约信息的检验结果表明,作为应对信息不对称的机制,动态调整契约严苛性这一精巧契约设计有效降低了企业内部贷款违约风险。本文不仅增进了对地理因素影响企业内部资本配置的认识,而且加深了对企业内部借贷契约设计的理解,从而对如何有效防控企业内部资本市场运作风险具有启示意义。     

Do Tighter Loan Covenants Signal Improved Future Corporate Results? The Case of Performance Pricing Covenants

Covenants in corporate bonds and loan agreements mitigate agency conflicts between borrowers and lenders and may provide a signal of borrower quality to help resolve information asymmetry. Performance pricing covenants in bank loans specify automatic adjustments to loan spreads based on borrowers’ subsequent performance. Our covenant signaling framework views interest‐decreasing performance pricing as a tight covenant associated with borrowers’ private information on improved future performance accompanied by reduced credit risk. This positive signal is associated with larger positive loan announcement returns and greater improvements in future borrower performance. Further, in addition to signaling value, we find that the spread impact of this class of covenant also depends on its option value and reduction in transaction costs.     

What Drives Default and Prepayment on Subprime Auto Loans?

This paper uses novel data on the performance of loan pools underlying asset-backed securities to estimate a competing risks model of default and prepayment on subprime automobile loans. We find that prepayment rates increase rapidly with loan age but are not affected by prevailing market interest rates. Default rates are much more sensitive to aggregate shocks than are prepayment rates. Increases in unemployment precede increases in default rates, suggesting that defaults on subprime automobile loans are driven largely by shocks to household liquidity. There are significant differences in the default and prepayment rates faced by different subprime lenders. Those lenders that charge the highest interest rates experience the highest default rates, but also experience somewhat lower prepayment rates. We conjecture that there is substantial heterogeneity among subprime borrowers, and that different lenders target different segments of the subprime market. Because of their higher default rates, loans that carry the highest interest rates do not appear to yield the highest expected returns.     

The voluntary adoption of International Financial Reporting Standards and loan contracting around the world

Using a sample of non-U.S. borrowers from 40 countries during 1997 through 2005, this paper investigates the effect of the voluntary adoption of International Financial Reporting Standards (IFRS) on price and nonprice terms of loan contracts and loan ownership structure in the international loan market. Our results reveal the following. First, banks charge lower loan rates to IFRS adopters than to non-adopters. The difference in loan rates in excess of a benchmark rate between the two groups is about 20 basis points for all loans and nearly 31 basis points for London Interbank Offered Rate (LIBOR)-based loans. Second, banks impose more favorable nonprice terms on IFRS adopters, particularly less restrictive covenants. We also provide evidence suggesting that banks are more willing to extend credit to IFRS adopters through larger loans and longer maturities. Finally, IFRS adopters attract significantly more foreign lenders participating in loan syndicates than non-adopters.     

Are Commercial Mortgage Defaults Affected by Tax Considerations?

We study whether tax considerations are an important determinant of commercial mortgage default. We also study whether large lenders are better informed, or better at interpreting information for lending purposes, and hence have lower foreclosure rates; whether lenders have more information on larger borrowers than smaller borrowers, and hence have lower foreclosure rates on larger loans; and whether commercial mortgage defaults are related to debt service coverage and loan-to-values, both initial and contemporaneous. The paper’s main findings are fourfold. First, holding all else equal, there is evidence that tax considerations influence investors’ decisions about when to “put” assets to lenders. The results are consistent with the argument of Constantinides (J Financ Econ 13:65–89, 1984). Second, the evidence suggests that large lenders are especially knowledgeable about commercial mortgage borrowers and commercial property markets, in that they have lower foreclosure rates than smaller lenders. Third, on the question of whether lenders have more information on larger borrowers than smaller borrowers, we find that larger loans have, on average, lower default rates than smaller loans. Fourth, the findings suggest that lower default rates are associated with higher debt service coverage ratios, both initial and contemporaneous.     

Legal Restrictions in Personal Loan Markets

This study examines the pricing of personal loans in the form of second mortgages to determine whether state-specific default laws have an effect on the availability and cost of that debt. We examine the pricing of loans to higher risk borrowers and whether borrowers in states that limit lender ability to seek default remedies pay higher credit costs. Our results indicate that, for the most part, lenders rationally price loans to higher risk borrowers. However, when we focus on borrowers with low credit scores, the results indicate that mean actual loan rates are higher than those predicted by our model. The results also indicate that state-specific default laws have an effect on the price of credit. Finally, the results show that there is a greater degree of error in the pricing of second mortgage loans to borrowers with low credit scores than to borrowers with high credit scores.     

Personal Lending Relationships

I identify the effects of personal relationships on loan contracting using executive deaths and retirements at other firms as a source of exogenous variation in executive turnover. After plausibly exogenous turnover, borrowers choose lenders with which their new executives have personal relationships 4.1 times as frequently, and loans from these lenders have 20 basis points lower spreads and 12.5% larger amounts. Personal relationships benefit firms across loan terms, especially during macroeconomic downturns. Increased financial flexibility from personal relationships insulated firms from financial shocks during the recent financial crisis: they exhibited less constrained investment and were less likely to layoff employees.     

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.     

The Monitoring Incentive of Transactional and Relationship Lenders: Evidence from the Syndicated Loan Market

We identify a group of lenders specializing in syndicating tradable loans (referred to as transactional lenders [TLs]). We show that borrowers borrowing from TLs experience worse operating performance and more severe credit quality deterioration after loan origination compared to those borrowing from relationship lenders. This difference in the postloan issue performance remains robust after controlling for the potential self‐selection of the lender type, or using percentage of traded loans out of all syndicated loans to capture lenders’ propensity for syndicating tradable loans. Our results also remains qualitatively the same after we drop various types of risky loans.     

Learning by lending

This paper studies bank learning through repeated interactions with borrowers from a new perspective. To understand learning by lending, we adapt a methodology from labor economics to analyze how loan contract terms evolve as banks acquire new information about borrowers. We construct “proxy” variables for this information using data from borrowers’ out-of-sample, future credit performance. Due to the timing of their construction, banks could not have used these variables directly to price loans. We nonetheless find that these proxies increasingly predict loan prices as relationships progress, even after controlling for possible omitted variable bias. Our methodology provides strong evidence that: (a) bank learning affects loan prices, and (b) relationship benefits are heterogeneous. In particular, higher quality borrowers face differentially lower spreads as their relationship with lenders develop – and banks learn about their quality – while lower quality borrowers see loan prices increase and their loan amounts fall. We further find suggestive evidence that banks incorporate CEO-specific information into loan prices.     

Large customer-supplier links and syndicate loan structure

Relationships between large customers and suppliers expose lenders to additional risks. These risks may force lead agents to retain a larger share of syndicated loans, reducing loan-level diversification, and, in turn, increasing the required interest rate spread. Consistent with this view, we find that borrowers' dependence on a few larger customers or suppliers positively affects the cost of the loans indirectly through the loan structure. Instead, we do not observe a direct cost associated with large customer-supplier links, suggesting that lead agents do not increase the interest rate spread as compensation for the additional risks of dealing with borrowers with large customer-supplier links per se. Finally, we document an inverted U-shaped relationship between the length of the large customer-supplier link and the loan share held by the lead agent.     

The roles of alternative data and machine learning in fintech lending: Evidence from the LendingClub consumer platform

There have been concerns about the use of alternative data sources by fintech lenders. We compare loans made by LendingClub and similar loans that were originated by banks. The correlations between the rating grades (assigned by LendingClub) and the borrowers’ FICO scores declined from about 80% (for loans originated in 2007) to about 35% for recent vintages (originated in 2014–2015), indicating that nontraditional data (not already accounted for in the FICO scores) have been increasingly used by fintech lenders. The rating grades perform well in predicting loan default. The use of alternative data has allowed some borrowers who would have been classified as subprime by traditional criteria to be slotted into “better” loan grades, allowing them to obtain lower priced credit.     

Cross-ownership and collateral in lending

Information asymmetry is a major obstacle in both formal and informal loan markets. However, when a borrower and a lender are connected via cross-ownership, this obstacle can be significantly reduced. Cross-ownership enables lenders to collect more concrete and precise information about borrowers, and this lowered information asymmetry reduces the likelihood that the lender will require the borrower to provide collateral. Using a data set of 1091 intercorporate loans from China, we find strong support for the prediction that cross-ownership between lenders and borrowers lowers the collateral requirements by more than 50%. This relation is more pronounced for informationally opaque borrowers and for lending firms with a controlling stake in the borrowing firms.     

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.