Banks' option to lend,interest rate sensitivity,and credit availability

Interest rate risk is a major concern for banks because of the nominal nature of their assets and the asset-liability maturity mismatch. This paper proposes a new way to derive a bank's interest rate sensitivity, by examining separately the effects of interest rate changes on existing loans(loans-in-place) and potential loans (loans-in-process). A potential loan is shown to be equivalent to an American option to lend, and is valued using option theory. An increase in interest rates generally has a negative effect on existing loans. However, if both deposit and lending rates rise by the same amount, the value of a potential loan generally increases. Hence a bank's lending slack (or ratio of loans-in-process to loans-in-place) will determine its overall interest rate risk. Empirical evidence indicates that low-slack banks indeed have significantly more interest rate risk than high-slack banks. The model also makes predictions regarding the effect of deposit and lending rate parameters on bank credit availability. Empirical tests with quarterly data are generally supportive of these predictions. This revised version was published online in June 2006 with corrections to the Cover Date.     

How and why do small firms manage interest rate risk?

Although small firms are particularly sensitive to interest rates and other shocks, empirical work on corporate risk management has focused instead on large public companies. This paper studies fixed-rate and adjustable-rate loans to see how small firms manage their exposure to interest rate risk. Credit-constrained firms are found to match significantly more often with fixed-rate loans, consistent with prior research that shows the supply of credit shrinks during periods of rising interest rates. Banks originate a higher share of adjustable-rate loans than other lenders, ameliorating maturity mismatch and exposure to the lending channel of monetary policy. Time-series patterns in the fixed-rate share are consistent with recent evidence on debt market timing.     

A note on the spread between the rates of fixed and variable rate loans

An expression of the optimal expected spread between the rates of fixed and variable rate loans offered by a competitive risk-averse bank is derived. We find that the expected spread varies directly with the volatility of the funding cost, the bank's degree of risk aversion, and the competitive profit margin on variable rate loans. Our analysis also characterizes the optimal mix of fixed and variable rate lending in a bank's loan portfolio.     

Dormancy risk and expected profits of consumer loans

A bank that lends money to a household faces two types of risk. Frequently mentioned is the risk of default. Seldom referred to is the risk of an early redemption of the loan – leading to dormancy. In this paper, we model the transition of consumer loans from an active to a dormant state. To this end, we use data on 4786 individuals who were granted credit by a Swedish lending institution between September 1993 and August 1995 and estimate a semi-parametric duration model. We analyze the factors that determine the time to maturity on consumer loans and investigate the ability of the model to match the maturities observed in the data. Moreover, we derive the distribution of conditional expected durations of loans and show how a loan application can be evaluated by calculating its expected profit.     

Lending Policies of Financial Intermediaries Facing Credit and Funding Risk

This paper compares the optimal lending decisions of financial intermediaries that differ in their risk exposure. All intermediaries are assumed to face a loan demand described by a random applicant arrival process with each applicant offering a unique risk-adjusted rate of return; loan demand is therefore uncertain in both quantity and quality. The intermediaries differ in terms of their risk exposure because of disparate funding practices. Intermediaries functioning as brokers minimize their exposure by borrowing funds only as demand is realized, whereas those behaving as asset-transformers borrow in advance of realizing loan demand, thereby maintaining a loanable funds inventory and sustaining the related exposure. The optimal sequential lending policy is shown to involve setting a credit standard that becomes stricter with the length of the intermediary's planning horizon and the volume of loans outstanding. Most importantly, it is shown that brokers adopt stricter credit standards than asset-transformers and therby reduce their volume of lending.     

Banks’ lending behavior and monetary policy: evidence from Sweden

The main purpose of this paper is to investigate the aggregate data about bank loans which may hide significant information about the monetary transmission mechanism. This study, by disaggregating bank loans data and using the relevant interest rates in Sweden, investigates the behaviour of banks after a monetary policy tightening. By using an unrestricted VAR model and impulse response analysis, our results show that a shock on the policy rate affects the main components of the banks’ loan portfolios differently. Initially, banks do not reduce lending to firms and households and they present a sluggish reaction concerning the relevant interest rates. On the contrary, they reduce lending to mortgage credit institutions significantly since real estate lending can be considered as a risky long-term investment. Moreover mortgage credit institutions reduce lending for housing purposes to non-bank public. This reduction is mainly driven by flexible rate loans and loans secured on tenant owned apartments. Consequently, theses actions have a significant effect on real economic activity, by amplifying the initial shock from the tightening monetary policy. The latter result provides evidence of the bank lending channel in Sweden working via mortgage lending and could be very important for policy makers.     

How do global banks scramble for liquidity? Evidence from the asset-backed commercial paper freeze of 2007

We investigate how banks scrambled for liquidity following the asset-backed commercial paper (ABCP) market freeze of August 2007 and its implications for corporate borrowing. Commercial banks in the United States raised dollar deposits and took advances from Federal Home Loan Banks (FHLBs), while foreign banks had limited access to such alternative dollar funding. Relative to before the ABCP freeze and relative to their non-dollar lending, foreign banks with ABCP exposure charged higher interest rates to corporations for dollar-denominated syndicated loans. The results point to a funding risk manifesting as currency shortages for banks engaged in maturity transformation in foreign countries.     

Data-driven optimization of peer-to-peer lending portfolios based on the expected value framework

In recent years, peer-to-peer (P2P) lending has been gaining popularity amongst borrowers and individual investors. This can mainly be attributed to the easy and quick access to loans and the higher possible returns. However, the risk involved in these investments is considerable, and for most investors, being nonprofessionals, this increases the complexity and the importance of investment decisions. In this study, we focus on generating optimal investment decisions to lenders for selecting loans. We treat the loan selection process in P2P lending as a portfolio optimization problem, with the aim being to select a set of loans that provide a required return while minimizing risk. In the process, we use internal rate of return as the measure of return. As the starting point of the model, we use machine-learning algorithms to predict the default probabilities and calculate expected values for the loans based on historical data. Afterwards, we calculate the distance between loans using (i) default probabilities and, as a novel step, (ii) expected value. In the calculations, we utilize kernel functions to obtain similarity weights of loans as the input of the optimization models. Two optimization models are tested and compared on data from the popular P2P platform Lending Club. The results show that using the expected-value framework yields higher return.     

Youth,adolescence, and maturity of banks: Credit availability to small business in an era of banking consolidation

This paper addresses the relationship between the aging process at new and relatively young banks and the tendency of banks to make loans to small businesses. Defining small business loans as C&I loans that are under $1 million in size, we analyze a sample of banks that had assets of less than $500 million in assets for the years 1993–1996 and that were 25 years of age or younger. We find, as have earlier studies, that banks' proclivities for small business lending are negatively related to their age and to their size. We proceed much farther, however, by introducing a number of additional explanatory variables, including the start-up year of the bank. We find that small business lending is negatively related to its being part of a MBHC. Also, small business lending is positively related to higher concentration rates in urban areas but is negatively related to higher concentration in rural areas. Despite the inclusion of these additional variables and a number of alternative specifications, the negative effects of a bank's age on its small business lending persist.     

Capital shocks, bank asset allocation, and the revised Basel Accord

In contrast to the 1988 Basel Accord (Basel I), the revised risk-based capital standards (Basel II) propose regulatory capital requirements based on credit ratings. This paper develops a theoretical model to analyze how banks will adjust their low and high credit risk commercial loans under the proposed newer standard. Capital-constrained banks respond to an adverse capital shock by reducing high credit risk loans, while under certain circumstances, low credit risk loans may actually increase. When compared to Basel I, it is shown that high-risk loans are reduced more under Basel II, but whether a bank reduces total lending more under Basel I or under the revised standards depends on a complex interaction of factors.     

Asymmetric information and price competition in small business lending

This paper examines the relationship between bank lending rates and their cost of funds in New Zealand. Our results show that on average mortgage rates respond more quickly to changes in the cost of funds than base business lending rates. We also find an asymmetry in the initial (short-run) response of banks to changes in funding costs; in particular, our results show banks adjust mortgage rates downwards faster than upwards. The speed to which lending rates revert back to their equilibrium relationship with funding costs varies across the lending markets. We find the adjustment speed is faster when mortgage rates are below equilibrium, whereas it is slower when business lending rates are above long-run levels in relation to funding costs. Our analysis suggests that banks prefer the plain-vanilla type of lending such as mortgages in comparison to small business lending consistent with asymmetric information associated with business loans.     

Household Income, Termination Risk and Mortgage Pricing

The premium embedded in home mortgage loans to compensate investors for their exposure to prepayment risk is a significant component of the cost of home mortgage lending. Moreover, there is some reason to believe that prepayment risk may be lower for loans to lower-income housing borrowers, especially those that are first-time home owners. If so, investor recognition of this advantage should facilitate greater willingness to acquire portfolios of lower-income housing loans, and encourage more competitive pricing in this segment of the market. This study investigates the possibility of differential mortgage prepayment behavior between lower-income home owners and non-low income home owners. The investigation relies on samples of the American Housing Survey spanning ten years of experience from 1985 to 1995. We find no significant difference between the termination or refinancing behavior of non-low income and low-income households. This result is robust to a number of alternative specifications such as restricting the low-income test group to non-moving households and to first-time owners. The same conclusions are derived from both aggregate prepayment rates and from analysis of individual household prepayment behavior.     

Pricing the Credit Risk of Secured Debt and Financial Leasing

Abstract:  This paper presents closed form solutions to price secured bank loans and financial leases subject to default risk. Secured debt fair credit spreads always increase in the debtor's default probability, whereas financial leasing fair credit spreads may well decrease in the lessee's default probability and even be negative. The reason is that the lessor, unlike the secured lender, can gain from the lessee's default, especially when the leasing contract envisages initial prepayments or the lessee's terminal options to either purchase the leased asset or to extend the lease maturity. This result, which critically depends on contractual and bankruptcy code provisions, can explain some of the empirical evidence and the use of financial leases as an alternative to secured bank lending to finance small, risky and relatively opaque firms.     

A neural‐network‐based decision‐making model in the peer‐to‐peer lending market

This study proposes an investment recommendation model for peer‐to‐peer (P2P) lending. P2P lenders usually are inexpert, so helping them to make the best decision for their investments is vital. In this study, while we aim to compare the performance of different artificial neural network (ANN) models, we evaluate loans from two perspectives: risk and return. The net present value (NPV) is considered as the return variable. To the best of our knowledge, NPV has been used in few studies in the P2P lending context. Considering the advantages of using NPV, we aim to improve decision‐making models in this market by the use of NPV and the integration of supervised learning and optimization algorithms that can be considered as one of our contributions. In order to predict NPV, three ANN models are compared concerning mean square error, mean absolute error, and root‐mean‐square error to find the optimal ANN model. Furthermore, for the risk evaluation, the probability of default of loans is computed using logistic regression. Investors in the P2P lending market can share their assets between different loans, so the procedure of P2P investment is similar to portfolio optimization. In this context, we minimize the risk of a portfolio for a minimum acceptable level of return. To analyse the effectiveness of our proposed model, we compare our decision‐making algorithm with the output of a traditional model. The experimental results on a real‐world data set show that our model leads to a better investment concerning both risk and return.     

Withdrawal from Foreign Lending in the Financial Crisis by Parent Banks and Their Branches and Subsidiaries: Supply Versus Demand Effects

This study investigates the different channels through which internationally active banks can provide loans abroad. Using data on German banks from 2002 to 2010, we contrast determinants for cross-border lending by the parent bank with lending by affiliates located abroad. We show that lending by parent banks is based almost entirely on supply-side determinants, in particular on bank-specific factors. The more the loans are intermediated by banks’ affiliates located abroad, the more relevant become foreign countries’ demand and risk characteristics. This applies in particular when banks operate via locally focused affiliates - rather than regionally active hub affiliates - as well as when the affiliates have the status of branches as opposed to legally independent subsidiaries. In general, banks with a greater risk aversion withdraw more from foreign lending during the financial crisis, especially following the collapse of Lehman Brothers. However, at a Tier I capital ratio of around 11 %, a further increase in the ratio did not affect lending anymore.     

Competition,financial innovation and commercial bank loan portfolios

I examine how US commercial bank loan portfolios change in response to the rise of securitization markets and banking market deregulations over 1976–2003. Banks increasingly tilt their portfolios toward real-estate-backed loans. However, there are significant differences across banks. Larger banks and younger banks disproportionately shift their lending toward real-estate-backed loans, particularly commercial real-estate-backed loans, whereas smaller banks and older banks maintain greater shares of their loan portfolios in commercial and personal loans. When larger banks make more real-estate-backed loans, they charge lower interest rates, consistent with these banks lowering the costs of lending and expanding credit for borrowers. In contrast, smaller banks charge higher interest rates, consistent with these banks restricting lending to a select group of borrowers.     

Debt maturity dispersion and the cost of bank loans

This paper examines the relation between corporate debt maturity dispersion and the pricing and terms of bank loans. Analyzing a sample of U.S. bank loans from 2002 to 2016, we find that firms with a dispersed debt maturity structure pay a lower interest rate. The rate-reduction effect is significant only for firms without a credit rating. For these firms, spreading debt maturity dates also results in lower commitment fees, fewer covenant restrictions, and less collateral in their loan contracts. The impact of debt maturity dispersion on the pricing and structure of bank loans is stronger when borrowers have higher rollover risk or when the need for monitoring is greater. Our results suggest that dispersion in debt maturity structure mitigates the agency problem associated with shareholder–creditor conflicts by reducing rollover risk and alleviating the need for monitoring, which results in borrowers receiving more favorable terms in loan contracts.     

Trade-off Model of Debt Maturity Structure

In this paper, we suggest the trade-off model to explain the choice of debt maturity. This model is based on balancing between risk and reward of using shorter-term loans. Shorter-term loans have cost advantage over, but incur higher refinancing and interest rate risk than longer-term loans. Using the Compustat data, we show that the principal components of financial attributes are financial flexibility and financial strength. Therefore, only firms with greater financial flexibility and financial strength can use proportionately more short-term loans. We also document that financially strong firms take advantage of lower interest rates of short-term debt. They use proportionately more short-term loans when the term premium is high. The results of our study also provide evidence supporting the agency cost hypothesis, which is strongly supported by current literature.     

The impact of capital market competition on relationship banking: Evidence from the Japanese experience

Disagreement exists about the potential effects of changes in competition on relationship lending. Boot and Thakor (2000) predict that an increase in capital market competition should lead to a reduction in relationship lending; however, Dinç (2000) predicts that greater capital market competition should increase relationship lending. Thus far, data limitations have precluded empirical tests of these competing hypotheses. In this study, we use a unique data set drawn from the deregulation of the Japanese financial system. Our findings show that increased capital market competition is associated with reduced relationship lending. However, the effect differs according to the maturity of the loans; increased capital market competition is associated with reduced long-term, but greater short-term, relationship lending.     

Bank Funding,Securitization, and Loan Terms: Evidence from Foreign Currency Lending

We examine how bank funding structure and securitization activities affect the currency denomination of business loans. We analyze a unique data set that includes information on the requested and granted loan currency for 99,490 loans granted to 57,464 firms by a Bulgarian bank. Our findings document that foreign currency lending is at least partially driven by bank eagerness to match the currency structure of assets with that of liabilities. Our results also show that loan currency, as well as loan amount and maturity, are adjusted to make loans eligible for securitization.