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.     

Lending Booms and Lending Standards

We examine how the informational structure of loan markets interacts with banks' strategic behavior in determining lending standards, lending volume, and the aggregate allocation of credit. We show that, as banks obtain private information about borrowers and information asymmetries across banks decrease, banks may loosen their lending standards, leading to an equilibrium with deteriorated bank portfolios, lower profits, and expanded aggregate credit. These lower standards are associated with greater aggregate surplus and greater risk of financial instability. We therefore provide an explanation for the sequence of financial liberalization, lending booms, and banking crises observed in many emerging markets.     

Lending competition and credit availability for new firms: Empirical study with the price cost margin in regional loan markets

In this paper, I present statistical evidence of the impact of lending competition on credit availability for new firms. A discrete-time duration analysis with respect to the years from the start-up to the first loan approval by a commercial bank or a cooperative bank, which is collected from survey data in Japan, shows that the higher price cost margin (PCM) of banks, which reflects the existence of a quasi-rent for a bank, improves the credit availability for younger firms. Additional analysis to detect the regional determinants of the PCM of banks shows that the share of larger banks in each local credit market has a negative and significant impact on the PCM. In light of the existing empirical finding that smaller banks are more likely to provide relationship banking, these findings provide indirect evidence for the hypothesis that the intensity of relationship banking in each local credit market increases the PCM and this encourages banks to extend a loan to new firms so that they can pre-empt the opportunity to establish lending relationships that are expected to yield such quasi-rents.     

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.     

The institutional memory hypothesis and the procyclicality of bank lending behavior

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.     

经济政策不确定性与企业贷款成本

基于大样本微观银行信贷数据,本文研究经济政策不确定性对企业的银行贷款成本的影响。研究发现,经济政策不确定性升高导致企业的银行贷款成本增加,且使得在中小型银行贷款的企业成本增加更多。异质性分析表明,经济政策不确定性升高对受政策因素影响较大的企业如小微企业、私营企业等的银行贷款成本的影响更为明显。进一步,对企业的银行贷款违约风险的研究发现,随着经济政策不确定性升高,企业的银行贷款违约风险反而降低。这表明,经济政策不确定性升高使得银行选择风险评级更低的贷款,符合谨慎性动机。本文研究结论表明,经济政策不确定性升高时,银行“自我保险”动机的增强使得企业的银行贷款成本增加,这在中小型银行中表现得更加明显,同时也更多地转嫁给中小企业。本文为经济政策不确定性对企业投资、宏观经济波动等的研究提供了微观解释机制,并揭示了政府经济政策的一致性、稳定性对维护金融稳定的重要作用。     

Credit line takedown and endogenous bank capital

This paper investigates the implications of the uncertain timing and usage of loan commitments for the optimal level of bank capital. We use trended Brownian motion to proxy the stochastic takedown of credit lines. Relying on “time to first passage” mathematics, we derive a probability density function for the time to depletion of the bank credit line as well as the likelihood for the time to exhausting the sources of liquidity that fund the loan takedown. Armed with these analytical results, we solve for the optimal level of bank capital within a simultaneous equation framework in order to capture the interrelationships of the endogenous variables. The optimality conditions produce a system of integral differential equations which refuse to yield reduced form solutions and provide no immediate intuition. Therefore, the maximizing values of the bank’s decision variables were simulated over a host of realistic scenarios. We document the comparative static behavior of the bank’s decision variables when equity is unencumbered by capital requirements and, also, examine the impact of the same parametric changes on bank behavior when equity is a fixed proportion of lending. Further simulations produce the expected time to liquidity depletion under different capital requirement schemes.     

Reserve Requirements,Liquidity Risk,and Bank Lending Behavior

Although reserve requirements (RR) have been used in emerging markets to smooth credit cycles, the transmission mechanism remains blurry. Using bank‐level data, we unveil the interaction of RR with bank lending. We identify a new channel that works through a decline in banks’ liquid assets and loan supply due to an increase in RR. “Quantitative tightening” through RR raises the short‐term funding needs of the banking system, which is met by collateralized central bank lending, thus depleting banks’ unencumbered liquid assets. Our results suggest that such a shift in bank liquidity is associated with a significant change in lending.     

Syndicated Leveraged Loans During and After the Crisis and the Role of the Shadow Banking System

In an article published in this journal in 1998, Nobel laureate Merton Miller argued that one of the best weapons available to national economies in their defense against the macroeconomic effects of banking crises is the availability of non‐bank financial institutions and products—or what we now refer to as the “shadow banking system.” Although Miller may have exaggerated the independence of bank‐ and market‐based sources of financing, the author argues that events during and after the recent crisis have shown Miller's claims about the importance of non‐bank investors in the provision of credit to be fundamentally correct. Critics of securitization and the shadow banking system tend to focus on the subprime mortgage story in which the sudden re‐pricing of credit risk and the resulting disappearance of investment demand for ABCP, private‐label mortgage‐related ABS, and ABS CDOs created unexpected and significant downward price pressure on those asset types. But the leveraged loan market tells a very different story. In contrast to the near complete disappearance of private mortgage securitizations, the extraordinary recovery of the U.S. syndicated leveraged loan market demonstrates that the relation between commercial and shadow banking has proved to be a highly productive and resilient one—and very much a two‐way street. When leveraged loans and CLOs experienced problems from 2007 through 2009 due primarily to the widespread liquidity and credit market disruptions that affected essentially all structured credit products, institutional investors in leveraged loans disappeared and the leveraged loan primary market imploded. But when institutional participants recognized the value of the underlying asset—corporate loans—and regained confidence in shadow‐banking products, leveraged lending by banks recovered quickly and dramatically. This outcome is viewed as vindicating Professor Miller's statement about the benefits of shadow markets and securitization— namely, the role of non‐bank investors in diversifying the risk of credit creation while at the same time improving the price discovery process in different markets. The recent history of the U.S. leveraged loan market demonstrates that shadow banking system participants play a critical role in meeting the total demand for such loans, and that the ebbs and flows from institutional leveraged loan markets are strongly connected with the health and integrity of the underlying leveraged bank loan market.     

AGENT BANK BEHAVIOR IN BANK LOAN SYNDICATIONS

Using Shared National Credit (SNC) Program data from 1995 to 2000, we extend previous empirical work on bank loan syndications. First, we examine recent trends in the volume and examiner‐based credit quality of loans syndicated through the banking system. Second, we estimate a panel regression model to explain changes in an agent bank's retained share of a syndicated loan in terms of information asymmetries, loan credit quality, capital constraints, and loan age and maturity. We find that these variables are significant determinants of the proportion of a SNC loan retained by an agent bank for its portfolio over time.     

It takes more than two to tango: Multiple bank lending,asset commonality and risk

Multiple-bank lending is the most prevalent form of bank-firm credit relationships in nearly all countries. It results in high asset commonality and interconnectedness, allows idiosyncratic risks to become systemic, and makes the banking system more fragile and vulnerable to shocks. Using detailed, granular-level, supervisory data on large corporate loans, we show that multiple bank lending is driven, inter alia, by regulatory limits on large credit exposures. These limits, aimed at mitigating an individual bank's concentration risk, force firms to explore alternative sources of funding, making the common borrowers' phenomenon more prominent. We find that multiple bank lending is determined endogenously, and its likelihood increases with the level of portfolio similarity between lenders. The size of the original lender and its systemic importance magnifies this effect. We argue that banks do not internalize the systemic effect of their lending decisions and that multiple bank lending constitutes an insurance mechanism related to an implicit "too-many-to-fail" guarantee. Its externalities are suboptimal and should be reinforced with better monitoring by the related authorities.     

Analytical Solutions for Expected Loss and Standard Deviation of Loss with an Additional Loan

We evaluate the expected loss and the standard deviation of loss of a bank loan, considering the bank’s strategic control of the expected return on the loan. Assuming that the bank supplies an additional loan to minimize the expected loss of the total loan, we provide analytical formulations for the expected loss and the variance of loss with bivariate normal distribution functions. Using a given expected growth rate and interest rates, two thresholds for the asset/liability ratio can specify three cases. The bank supplies an additional loan to decrease the expected loss in two cases: (i) the asset/liability ratio of the firm is low, and its expected growth rate is high; and (ii) the asset/liability ratio of the firm is high, and the lending interest rate is high. The bank maintains the current loan amount when the asset/liability ratio lies between the two thresholds. Depending on the bank’s strategy, the bank can decrease the initial expected loss of the loan. Conversely, the bank would face a greater risk of the standard deviation of loss.     

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.     

Incentivizing Calculated Risk‐Taking: Evidence from an Experiment with Commercial Bank Loan Officers

We conduct an experiment with commercial bank loan officers to test how performance compensation affects risk assessment and lending. High‐powered incentives lead to greater screening effort and more profitable lending decisions. This effect is muted, however, by deferred compensation and limited liability, two standard features of loan officer compensation contracts. We find that career concerns and personality traits affect loan officer behavior, but show that the response to incentives does not vary with traits such as risk‐aversion, optimism, or overconfidence. Finally, we present evidence that incentives distort the assessment of credit risk, even among professionals with many years of experience.     

An Analysis of Bank Loan Rate Indexation

This paper examines the economic rationale for the use of bank loan commitments and the effect on the allocation of bank credit of indexing the loan rate offered through the commitment to the prime. A simple model of the loan market is constructed and used to examine the effect changes in loan demand and the cost of bank funds have on the allocation of bank credit under indexation. It is shown that indexing implies changes in the relative cost of borrowing for certain groups of bank customers. For nonprime customers, an increase in the cost of bank funds results in a decline in the relative cost of borrowing under commitments. The pattern of commitment use is found to be consistent with the predictions of the model.     

The crisis in UK banking

Unparalleled turmoil in the banking system over the past two years has impacted severely on the UK's economic prospects. What was once a profitable, fastgrowing, dynamic and highly innovative banking sector has been publicly humiliated, while its lending capacity has stalled. This article highlights the evolution of the credit crisis in the UK, as the fallout from American subprime lending and the housing market bubble spread rapidly across the Atlantic. Lessons from the crisis and policy recommendations are considered, focusing on rebuilding bank liquidity and capital, strengthening bank supervision and regulation, and improving risk evaluation and risk management practices throughout the banking and financial system.     

Bank risk and monetary policy

We find evidence of a bank lending channel operating in the euro area via bank risk. Financial innovation and the wider use of new ways of transferring credit risk have tended to diminish the informational content of standard bank balance sheet indicators. We show that bank risk conditions, as perceived by financial market investors, need to be considered, together with the other indicators (i.e., size, liquidity and capitalization), traditionally used in the bank lending channel literature to assess banks’ ability and willingness to supply new loans. Using a large sample of European banks, we find that banks characterized by lower expected default frequency are able to offer a larger amount of credit and to better insulate their loan supply from monetary policy changes.     

Foreign bank penetration and the lending channel in emerging economies: Evidence from bank-level panel data

This paper examines the main implications of recently increasing foreign bank penetration on bank lending as a channel of monetary policy transmission in emerging economies. Using a dynamic panel model of loan growth, we investigate the loan granting behavior of 1273 banks in the emerging economies of Asia, Latin America, and Central and Eastern Europe during the period from 1996 to 2003. Applying the pooled OLS, system GMM, and panel VAR estimators, we find consistent evidence that foreign banks are less responsive to monetary shocks in host countries, as they adjust their outstanding loan portfolios and interest rates to a lesser extent than domestic private banks, independent of their liquidity, capitalization, size, efficiency, and credit risk, and although there exists a bank lending channel in the emerging economies, it is declining in strength due to the increased level of foreign bank penetration. We also explore possible driving factors for the different responses of foreign and domestic banks to monetary policy shocks by investigating foreign banks’ different behavior during banking crises and tranquil periods, the effects of mode of entry to host countries, the home-country effects, and the response of foreign banks from OECD countries vs. all foreign countries including non-OECD countries. We suggest the access of foreign banks to funding from parent banks through internal capital markets as the most convincing explanation.     

Sentiment volatility and bank lending behavior

Using a panel of commercial, co-operative and savings banks from G7 countries, we investigate whether the changes in sentiment and its volatility affect banks' lending behavior. We show that the changes in economic agents' sentiment and its volatility affect bank lending negatively, while the impact sizes differ across indicators. We also examine volatility effects on banks' loan growth as uncertainty reaches excessive levels. We highlight the role that several bank-specific variables play on bank lending and discuss to what extent uncertainty effects are transmitted on credit growth through them.     

Loan collateral,corporate investment,and business cycle

Collateral and loan rates are observed to be highly cyclical in their use for bank lending. The effects of such cyclicality on corporate investment are analyzed in this paper using a dynamic model. We find that more collateral causes firms to select riskier (/safer) projects if the loan rate rises above (/falls below) the expected investment return. We show that the incentive effect of loan rates becomes stronger with greater collateral, with the two credit terms having larger incentive effects on lower-quality firms. These results offer a new explanation for why lenient collateral policies are associated with rising loan rates in economic upturns but stricter collateral requirements come with falling loan rates during downturns.