Cost stickiness and bank loan contracting

This study examines whether and, if so, how borrowers' asymmetric cost behavior (i.e., cost stickiness) is factored into the price and non-price terms of bank loan contracts. We provide strong and reliable evidence that ex-ante, the loan spread increases with cost stickiness after controlling for other known determinants of loan contract terms. Moreover, we find that the effect is more pronounced for borrowers with higher default risk and higher information risk. This is consistent with borrowers' asymmetric cost behavior increasing lenders' uncertainty about the liquidation value of assets, and hence, lenders need to be compensated ex-ante. Additionally, we conjecture that higher cost stickiness may increase the need for ex-post monitoring. Consistent with this conjecture, we find some evidence that lenders impose tighter non-price terms on firms with stickier costs. This study integrates cost stickiness research with the banking literature by showing that banks incorporate borrowers' asymmetric cost behavior into loan contracting terms.     

The bank capital channel and bank profits

This paper develops a microeconomic model of banking to highlight an endogenous loan creation process that emerges from bank profits via the capital accumulation of retained earnings and uses a simple bank capital‐loan multiplier to illustrate constraints on lending. The study also analyzes how sufficient net interest margins are important for banks to maintain lending portfolios and avoid financial fragility. The model offers support to bank capital channel (BKC) economists by illustrating how changes in interest rates may influence bank lending through the bank's internal capital accumulation growth rate and on a bank's portfolio choices.     

Systemic Bank Risk in Brazil: A Comprehensive Simulation of Correlated Market, Credit, Sovereign and Inter-Bank Risks

In this study we present a comprehensive forward‐looking portfolio simulation methodology for assessing the correlated impacts of market risk, private sector and Sovereign credit risk, and inter‐bank default risk. In order to produce better integrated risk assessment for banks and systemic risk assessments for financial systems, we argue that reasonably detailed modeling of bank asset and liability structures, loan portfolio credit quality, and loan concentrations by sector, region and type, as well as a number of financial and economic environment risk drivers, is required. Sovereign and inter‐bank default risks are increasingly important in the current economic environment and their inclusion is an important model extension. This extended model is demonstrated through an application to both individual Brazilian banks (i.e., 28 of the largest banks) and groups of banks (i.e., the Brazilian banking system) as of December 2004. When omitting Sovereign risk, our analysis indicates that none of the banks face significant default risk over a 1‐year horizon. This low default risk stems primarily from the large amount of government securities held by Brazilian banks, but also reflects the banks' adequate capitalizations and extraordinarily high interest rate spreads. We note that none of the banks which we modeled failed during the very stressful 2007‐2008 period, consistent with our results. Our results also show that a commonly used approach of aggregating all banks into one single bank, for purposes of undertaking a systemic banking system risk assessment, results in a misestimate of both the probability and the cost of systemic banking system failures. Once Sovereign risk is considered and losses in the market value of government securities reach 10% (or higher), we find that several banks could fail during the same time period. These results demonstrate the well known risk of concentrated lending to a borrower, or type of borrower, which has a non‐zero probability of default (e.g., the Government of Brazil). Our analysis also indicates that, in the event of a Sovereign default, the Government of Brazil would face constrained debt management alternatives. To the best of our knowledge no one else has put forward a systematic methodology for assessing bank asset, liability, loan portfolio structure and correlated market and credit (private sector, Sovereign, and inter‐bank) default risk for banks and banking systems. We conclude that such forward‐looking risk assessment methodologies for assessing multiple correlated risks, combined with the targeted collection of specific types of data on bank portfolios, have the potential to better quantify overall bank and banking system risk levels, which can assist bank management, bank regulators, Sovereigns, rating agencies, and investors to make better informed and proactive risk management and investment decisions.     

Measuring Integrated Market and Credit Risk in Bank Portfolios: An Application to a Set of Hypothetical Banks Operating in South Africa

The banking crises of the ‘90s emphasize the need to model the connections between financial environment volatility and the potential losses faced by financial institutions resulting from correlated market and credit risks. Due to the number of variables that must be modeled and the complexity of the relationships an analytical solution is not feasible. We present here a numerical solution based on a simulation model that explicitly links changes in the relevant variables that characterize the financial environment and the distribution of possible future bank capital ratios. This forward looking quantitative risk assessment methodology allows banks and regulators to identify potential risks before they materialize and make appropriate adjustments to bank portfolio credit qualities, sector and region concentrations, and capital ratios on a bank by bank basis. It also has the potential to be extended so as to assess the risks of correlated failures among a group of financial institutions (i.e., systemic risk analyses). This model was applied by the authors to the study of the risk profile of the largest South African Banks in the context of the Financial System Stability Assessment program undertaken by the IMF in 1999. In the current study, we apply the model to various hypothetical banks operating in the South African financial environment and assess the correlated market and credit risks associated with business lending, mortgage lending, asset and liability maturity matches, foreign lending and borrowing, and direct equity, real estate, and gold investments. It is shown to produce simulated financial environments (interest rates, exchange rates, equity indices, real estate price indices, commodity prices, and economic indicators) that match closely the assumed parameters, and generate reasonable credit transition probabilities and security prices. As expected, the credit quality and diversification characteristics of the loan portfolio, asset and liability maturity mismatches, and financial environment volatility, are shown to interact to determine bank risk levels. We find that the credit quality of a bank's loan portfolio is the most important risk factor. We also show the risk reduction benefits of diversifying the loan portfolio across various sectors and regions of the economy and the importance of accounting for volatility shocks that occur periodically in emerging economies. Banks with high credit risk and concentrated portfolios are shown to have a high risk of failure during periods of financial stress. Alternatively, banks with lower credit risk and broadly diversified loan portfolios across business and mortgage lending are unlikely to fail even during very volatile periods. Asset and liability maturity mismatches generally increase bank risk levels. However, because credit losses are positively correlated with interest rate increases, banks with high credit risk may reduce overall risk levels by holding liabilities with longer maturities than their assets. Risk assessment methodologies which measure market and credit risk separately do not capture these various interactions and thus misestimate overall risk levels.     

Bank Competition and Financial Stability

Under the traditional “competition-fragility” view, more bank competition erodes market power, decreases profit margins, and results in reduced franchise value that encourages bank risk taking. Under the alternative “competition-stability” view, more market power in the loan market may result in higher bank risk as the higher interest rates charged to loan customers make it harder to repay loans, and exacerbate moral hazard and adverse selection problems. The two strands of the literature need not necessarily yield opposing predictions regarding the effects of competition and market power on stability in banking. Even if market power in the loan market results in riskier loan portfolios, the overall risks of banks need not increase if banks protect their franchise values by increasing their equity capital or engaging in other risk-mitigating techniques. We test these theories by regressing measures of loan risk, bank risk, and bank equity capital on several measures of market power, as well as indicators of the business environment, using data for 8,235 banks in 23 developed nations. Our results suggest that—consistent with the traditional “competition-fragility” view—banks with a higher degree of market power also have less overall risk exposure. The data also provides some support for one element of the “competition-stability” view—that market power increases loan portfolio risk. We show that this risk may be offset in part by higher equity capital ratios.

Institutions and Bank Behavior: Legal Environment,Legal Perception,and the Composition of Bank Lending

This paper explores how the legal environment affects bank behavior in 20 transition economies. Based on a newly constructed data set we find that banks’ loan portfolio composition depends on the legal environment. If banks operate in a well‐functioning legal environment they lend relatively more to SMEs and provide more mortgages. On the other hand, banks lend more to large enterprises and to the government if the legal system is unsound. As a transmission channel we identify the banks’ willingness to accept collateral which depends on the bankers’ perceptions of the prevailing laws regarding collateral.     

The role of securitization in bank liquidity and funding management

This paper studies the role of securitization in bank management. I propose a new index of “bank loan portfolio liquidity” which can be thought of as a weighted average of the potential to securitize loans of a given type, where the weights reflect the composition of a bank loan portfolio. I use this new index to show that by allowing banks to convert illiquid loans into liquid funds, securitization reduces banks' holdings of liquid securities and increases their lending ability. Furthermore, securitization provides banks with an additional source of funding and makes bank lending less sensitive to cost of funds shocks. By extension, the securitization weakens the ability of the monetary authority to affect banks' lending activity but makes banks more susceptible to liquidity and funding crisis when the securitization market is shut down.     

年报风险信息披露与银行贷款利率

既有文献较少从银行视角关注年报风险信息披露的经济后果。银行更有能力解读年度风险信息,银行利益也更直接受到年报风险信息的影响,银行贷款利率更能体现年报风险信息披露的经济后果。本文基于2008-2017年单笔银行贷款利率数据的研究发现:总体上我国年报风险信息披露降低了银行贷款利率,说明我国年报风险信息披露更符合趋同观假说。中介效应检验发现:我国年报风险信息披露通过提高信息透明度,降低银行风险感知水平进而降低了银行贷款利率,即信息质量和风险是我国年报风险信息披露影响银行贷款利率的不完全中介。进一步分析发现:我国年报风险信息披露与银行贷款利率的负相关关系主要体现在货币政策紧缩组、非国有企业组以及公司治理水平较高组。本文首次研究银行贷款利率与年报风险信息披露的关系,有助于丰富风险信息披露文献和银行贷款文献。     

The effects of loan portfolio concentration on Brazilian banks’ return and risk

This paper tests whether diversification of the credit portfolio at the bank level leads to better performance and lower risk. We employ a new high frequency (monthly) panel data for the Brazilian banking system with information at the bank level for loans by economic sector. We find that loan portfolio concentration increases returns and also reduces default risk; the impact of concentration on bank’s return is decreasing on bank’s risk; there are significant size effects; foreign and state-owned banks seem to be less affected by the degree of diversification. An important additional finding is that there is an increasing concentration trend after the breakout of the recent international financial crisis, specially after the failure of Lehman Brothers.     

Intertemporal diversification in financial intermediation

This paper examines the incentive problem between a bank and depositors (or deposit insurer): limited liability makes risk-shifting lucrative. We show how intertemporal diversification of lending decisions – i.e. bank’s loan portfolio consists of overlapping long-term loans and is thus gradually renewed – may solve the incentive problem of risk-shifting. A new (or expanding) bank sets a high-equity level and acquires depositors’ confidence. Subsequently, it can allow its equity to depreciate to a permanently lower level. Depositors can control the bank by monitoring equity and realized credit losses ex post; they do not have to monitor bank’s lending choices ex ante. Maturity mismatch – illiquidity of long-term loans and liquidity of deposits – is optimal. The analysis can be extended more generally to the borrower–lender relationship.     

我国金融机构尾部风险影响因素的非线性研究——来自面板平滑转换回归模型的新证据

“十三五”期间,我国防范化解金融风险攻坚战取得决定性成就,而在“十四五”规划开局之际,我国的金融风险形势面临新的挑战,防范风险仍是金融业的永恒主题。在此背景下,本文采用相对重要性分析技术方法,考察机构规模以及相关基本面因素对我国上市金融机构尾部风险的贡献程度。接着,本文结合边际效应分析技术考察机构规模对风险的异质性效应,深入分析“太大而不能倒”假说在中国的适用性。在此基础上,进一步运用前沿的面板平滑转换估计模型,研究机构规模与尾部风险的非线性关系,并分析基本面因素对该异质性效应的影响力度。研究结果表明,我国上市银行等金融机构规模的增加能够有效缓释我国金融系统的尾部风险,但该影响效应将随着特许权价值、资产质量、杠杆水平、成本水平、收入结构、贷款结构等基本面指标的变化而出现显著的非线性转变。在此基础上,对强化我国金融系统中的风险防控薄弱环节、提高金融机构的风险吸收能力提出建议,以期为我国深化金融业改革开放、推动高质量发展提供理论分析与实证检验的参考依据。     

Characteristics of failed U.S. commercial banks: an exploratory study

This study uses survival analysis to determine how early the indications of bank failure can be observed. We find that banks with high loan to asset and high personal loan to assets ratios are more likely to survive. Older banks and banks with high real estate and agricultural loans, loan loss allowance, loan charges off and non‐performing loans to assets ratio are more likely to fail. It is possible to predict survival functions of <50% for failed banks, 3 years or less before failure. Moreover, we find that most of the variables present a behaviour that departs from Benford’s Law.     

The impact of loan prepayment risk and deposit withdrawal risk on the optimal intermediation margin

Numerous studies have analyzed how a bank's intermediation margin varies with respect to such factors as credit quality, funding risk, bank capital, deposit insurance and other factors. However, these studies ignore the potential that loans tend to prepay if interest rates decline and deposits tend to be withdrawn if interest rates rise. Taking this very fundamental fact into account, we derive optimal loan rates and deposit rates when the bank is subject to loan prepayments and deposit withdrawals. Among other things, we find that greater volatility of interest rates tends to increase the margin. The strength of the correlation between the level of interest rates and the propensity to prepay loans (withdraw deposits) also plays an interesting role.     

What firm risk factors drive bank loan pricing and other terms? Evidence from China

This study investigates how firm risk factors affect bank loan pricing. Although firm-specific stock price crash risk affects bank loan costs directly, it also prompts other risks, including financial restatement and litigation, which in turn trigger higher bank loan costs. Strong internal and external governance mechanisms help reduce agency problems and improve information transparency, alleviating the adverse effect of stock price crash risk on loan costs. Our results confirm that bankers take good corporate governance into account in their bank loan decisions. We also show that bond investors price the adverse effect of stock price crash risk, prompting higher corporate bond costs. Futher evidence suggests that banks impose stricter non-price terms, such as smaller loan size, shorter loan maturity, and a higher likelihood of collateral requirement, on firms with higher crash risk.     

Internal ratings systems,implied credit risk and the consistency of banks’ risk classification policies

This paper aims at improving our understanding of internal risk rating systems (IRS) at large banks, of the way in which they are implemented, and at verifying if IRS produce consistent estimates of banks’ loan portfolio credit risk. An important property of our work is that the size of our data set allows us to derive measures of credit risk without making any assumptions about correlations between loans, by applying Carey’s [Carey, Mark, 1998. Credit risk in private debt portfolios. Journal of Finance LIII (4), 1363–1387] non-parametric Monte Carlo re-sampling method.We find substantial differences between the implied loss distributions of two banks with equal “regulatory” risk profiles; both expected losses and the credit loss rates at a wide range of loss distribution percentiles vary considerably. Such variation will translate into different levels of required economic capital. Our results also confirm the quantitative importance of size for portfolio credit risk: for common parameter values, we find that tail risk can be reduced by up to 40% by doubling portfolio size.Our analysis makes clear that not only the formal design of a rating system, but also the way in which it is implemented (e.g. a rating grade composition; the degree of homogeneity within rating classes) can be quantitatively important for the shape of credit loss distributions and thus for banks’ required capital structure. The evidence of differences between lenders also hints at the presence of differentiated market equilibria, that are more complex than might otherwise be supposed: different lending or risk management “styles” may emerge and banks strike their own balance between risk-taking and (the cost of) monitoring (that risk).     

Loan Portfolio Swaps and Optimal Lending

Theories on loan portfolio swap hedging are based on a portfolio-choice approach. This paper presents an alternative: a firm-theoretic model for bank behavior with loan portfolio swaps. Our paper derives the optimal loan rate and rate-taking loan amount of the banks portfolio, and relates them to the market loan rate, counterparty loan rate, swap default risk, capital-to-deposits ratio, and deposit insurance. We find that in the bilateral default risk approach, the comparative static results are generated by four factors: the banks risk magnitude about the equity market value, loan composition in the swap contract, the substitution effect in the loan portfolio, and the income effect from the swap transaction. The results imply that changes in the payoff asymmetry in the event of swap default and the banks regulatory parameters have a direct effect on the banks loan portfolio for lending and swap transactions.We would like to thank two anonymous referees for helpful comments and advice.     

Strategic loan defaults and coordination: An experimental analysis

This paper experimentally studies the impact of bank and borrower fundamentals on loan repayment. We find that solvent borrowers are more likely to default strategically when the bank’s expected strength is low, although loan repayment is a Pareto dominant Nash equilibrium. Borrowers are also less likely to repay when other borrowers’ expected repayment capacity is low, regardless of banks’ fundamentals. We show that changes in expectations about bank and borrower fundamentals change the risk dominance properties of the borrowers’ coordination problem, and that these changes subsequently explain strategic defaults. For the individual borrower, loss aversion and negative past experiences reduce repayment, suggesting that bank failure can be contagious in times of distress.     

Bank loan-loss provisions and the income-smoothing hypothesis: An empirical analysis, 1976–1984

This article tests an income-smoothing hypothesis for a sample of 106 large bank holding companies for the period 1976 to 1984. Our focus is on the behavior of the provision for loan losses as a function of bank income and alternative measures of business conditions likely to affect loan portfolio risk-taking or quality. Using an econometric model with pooled time-series, cross-sectional data, we find evidence of income-smoothing behavior over our test period. Our dummy-variable models indicate that regional banking companies tend to engage in income smoothing more than money-center banks. Alternative motivations for income-smoothing behavior, which include bank regulatory policy, risk management, agency theory, and compensation policy, are explored and their policy implications considered.     

Managerial ability and bank‐loan pricing

This paper examines the impact of borrowers’ managerial ability on lenders’ bank‐loan pricing and the channels through which managerial ability affects bank‐loan pricing. Using a large sample of US bank loans, we provide evidence that higher managerial ability is associated with lower bank‐loan prices. This effect is stronger in firms with high information risk, suggesting that an important channel for managerial ability to affect bank‐loan pricing is through improved financial disclosure to mitigate information asymmetry. The relationship is also stronger for firms with weak business fundamentals, implying that another channel is through improved business performance. Of these two mechanisms, path analysis suggests that the business‐fundamentals mechanism is the more important channel through which managerial ability affects bank‐loan pricing.     

银保协作、风险自留与银行信用风险补偿——基于银保信贷系统的分析视角

在分析风险自留的内生逻辑基础上,进一步分析风险自留实现银行信用风险补偿的内在机理。研究表明：银保信贷系统通过对贷款企业个体风险与事先设定的平均代偿风险的匹配性甄别,实现对银行信用风险的分级补偿功能。针对银行超预期信用风险,先行实施银行风险拨备机制对银行平均代偿风险进行补偿,然后实施超额风险自留机制对超过平均代偿风险的银行超额风险部分再次进行补偿,超额风险自留补偿基金将由银行与担保机构依据各自的风险均衡配置阈值占比共同筹集,以此来实现银行信用风险分级补偿目标。并以此为依据,设计了银保信贷系统风险自留机制。