Do banks care about analysts' forecasts when designing loan contracts?

We investigate whether banks rely on the information content in equity analysts’ annual earnings forecasts when assessing the risk of potential borrowers. While a long literature finds that analysts provide useful information to market participants, it is not clear that banks, which have access to privileged information, would benefit from publicly available analysts’ forecasts. If, however, banks do rely on this information, then more precise private information in earnings forecasts may inform banks. We focus our analysis on the requirement of collateral because it is a direct measure of default risk, whereas other loan terms such as interest spread and debt covenants can also protect against other risks, such as asset misappropriation. The direct link between collateral and default risk allows us to examine whether information from analysts is relevant to banks when designing loan contracts. Consistent with our predictions, we find that higher precision of the private information in analysts’ earnings forecasts is associated with a lower likelihood of requiring collateral, and this effect is larger when a borrower does not have a prior relationship with the lender or their accounting or credit quality is low. We also find that this association disappears after the implementation of Regulation FD, consistent with this regulation reducing analysts’ access to private information.     

Enhancing Loan Quality Through Transparency: Evidence from the European Central Bank Loan Level Reporting Initiative

We explore whether transparency in banks’ securitization activities enhances loan quality. We take advantage of a novel disclosure initiative introduced by the European Central Bank, which requires, as of January 2013, banks that use their asset‐backed securities as collateral for repo financing to report securitized loan characteristics and performance in a standardized format. We find that securitized loans originated under the transparency regime are of better quality with a lower default probability, a lower delinquent amount, fewer days in delinquency, and lower losses upon default. Additionally, banks with more intensive loan level information collection and those operating under stronger market discipline experience greater improvement in their loan quality under the new reporting standards. Overall, we demonstrate that greater transparency has real effects by incentivizing banks to improve their credit practices.     

Improvements in loss given default forecasts for bank loans

An accurate forecast of the parameter loss given default (LGD) of loans plays a crucial role for risk-based decision making by banks. We theoretically analyze problems arising when forecasting LGDs of bank loans that lead to inconsistent estimates and a low predictive power. We present several improvements for LGD estimates, considering length-biased sampling, different loan characteristics depending on the type of default end, and different information sets according to the default status. We empirically demonstrate the capability of our proposals based on a data set of 69,985 defaulted bank loans. Our results are not only important for banks, but also for regulators, because neglecting these issues leads to a significant underestimation of capital requirements.     

The impact of European bank mergers on bidder default risk

We analyze the implications of European bank consolidation on the default risk of acquiring banks. For a sample of 134 bidding banks, we employ the Merton distance to default model to show that, on average, bank mergers are risk neutral. However, for relatively safe banks, mergers generate a significant increase in default risk. This result is particularly pronounced for cross-border and activity-diversifying deals as well as for deals completed under weak bank regulatory regimes. Also, large deals, which pose organizational and procedural hurdles, experience a merger-related increase in default risk. Our results cast doubt on the ability of bank merger activity to exert a risk-reducing and stabilizing effect on the European banking industry.     

Macroeconomic effects of corporate default crisis: A long-term perspective

Using an extensive data set on corporate bond defaults in the US from 1866 to 2010, we study the macroeconomic effects of bond market crises and contrast them with those resulting from banking crises. During the past 150 years, the US has experienced many severe corporate default crises in which 20–50% of all corporate bonds defaulted. Although the total par amount of corporate bonds has at times rivaled the amount of bank loans outstanding, we find that corporate default crises have far fewer real effects than do banking crises. These results provide empirical support for current theories that emphasize the unique role that banks and the credit and collateral channels play in amplifying macroeconomic shocks.     

Loss given default of high loan-to-value residential mortgages

This paper studies loss given default using a large set of historical loan-level default and recovery data of high loan-to-value residential mortgages from several private mortgage insurance companies. We show that loss given default can largely be explained by various characteristics associated with the loan, the underlying property, and the default, foreclosure, and settlement process. We find that the current loan-to-value ratio is the single most important determinant. More importantly, mortgage loss severity in distressed housing markets is significantly higher than under normal housing market conditions. These findings have important policy implications for several key issues in Basel II implementation.     

Commitment, banks and markets

We examine how banks and financial markets interact with one another to provide liquidity to investors. The critical assumption is that financial markets are characterized by limited enforcement of contracts, and in the event of default only a fraction of borrowers’ assets can be seized. Limited enforcement reduces the fraction of assets that can be used as collateral and thus individuals subject to liquidity shocks face borrowing constraints. We show how banks endogenously overcome these borrowing constraints by pooling resources across several depositors, and increase the liquidity provided by financial markets.     

Forbearance and Prompt Corrective Action

This article investigates whether a bank regulator should terminate problem banks promptly or exercise forbearance. We construct a dynamic model economy in which entrepreneurs pledge collateral, borrow from banks, and invest in long-term projects. We assume that collateral value has aggregate risk over time, that in any period entrepreneurs can abscond with the projects but lose the collateral, and that depositors can withdraw deposits. We show that optimal regulation exhibits forbearance if the ex-ante probability of collapse in collateral value is sufficiently low, but exhibits prompt termination of problem banks if this probability is sufficiently high.     

The credit quality channel: Modeling contagion in the interbank market

We propose an algorithm to model contagion in the interbank market via what we term the “credit quality channel”. In existing models on contagion via interbank credit, external shocks to banks often spread to other banks only in case of a default. In contrast, shocks are transmitted also via asset devaluations and deteriorations in the credit quality in our algorithm. First, the probability of default (PD) of those banks directly affected by some shock increases. This increases the expected loss of the credit portfolios of the initially affected banks’ counterparties, thereby reducing the counterparties’ regulatory capital ratio. From a logistic regression we estimate the increase in the counterparties’ PD due to a reduced capital ratio. Their increased PDs in turn affect the counterparties’ counterparties, and so on. This coherent and flexible framework is applied to the bilateral interbank credit exposure of the entire German banking system in order to examine policy questions. For that purpose, we propose to measure the potential cost of contagion of a given shock scenario by the aggregated regulatory capital loss computed in our algorithm.     

Margining in derivatives markets and the stability of the banking sector

We investigate the effects of margining, a widely-used mechanism for attaching collateral to derivatives contracts, on derivatives trading volume, default risk, and on the welfare in the banking sector. First, we develop a stylized banking sector equilibrium model to develop some basic intuition of the effects of margining. We find that a margin requirement can be privately and socially sub-optimal. Subsequently, we extend this model into a dynamic simulation model that captures some of the essential characteristics of over-the-counter derivatives markets. Contrarily to the common belief that margining always reduces default risk, we find that there exist situations in which margining increases default risk, reduces aggregate derivatives’ trading volume, and has an ambiguous effect on welfare in the banking sector. The negative effects of margining are exacerbated during periods of market stress when margin rates are high and collateral is scarce. We also find that central counterparties only lift some of the inefficiencies caused by margining.     

Income smoothing among European systemic and non-systemic banks

There is scant research on the financial reporting behaviour of global systemically-important banks (G-SIBs) and non-global systemically-important banks (non-G-SIBs). We examine the link between financial reporting and financial system stability given the understanding that income smoothing is a stability mechanism for banks. We empirically examine whether the way G-SIBs use loan loss provisions (LLPs) to smooth income differ compared to non-G-SIBs and the incentive to do so. We examine 231 European banks and find that income smoothing is pronounced among G-SIBs in the post-crisis period and pronounced among non-G-SIBs in the pre-crisis period. Also, G-SIBs exhibit greater income smoothing when they: (i) have substantial non-performing loans, (ii) are more profitable and meet/exceed minimum regulatory capital ratios (iii) engage in forward-looking loan-loss provisioning and during recessionary periods. The implication of our findings is that capital regulation and abnormal economic fluctuations create incentives for systemic banks to use accounting numbers (loan loss provisions) to smooth income, which also align with the financial system stability objective of bank regulators. Our findings are useful to accounting standard setters in their evaluation of the role of reported accounting numbers for financial system stability, given the current regulatory environment in Europe which focuses on systemic banks.     

When Are Commercial Loans Secured?

We analyze the factors that influence the decision to secure a commercial loan. We find evidence that variables reflecting adverse selection, moral hazard, and the prospects for default all affect the likelihood a loan will be collateralized. We find no evidence in favor of the predictions of certain theoretical models that high‐quality firms signal by providing collateral. Our results also show that lenders with less risk protection in the form of equity capital are more likely to require collateral, but that banks themselves are less likely to secure loans than nonbanks. Certain loan characteristics also influence the collateralization decision.     

Modelling the economic value of credit rating systems

In this paper we develop a model of the economic value of credit rating systems. Increasing international competition and changes in the regulatory framework driven by the Basel Committee on Banking Supervision (Basel II) called forth incentives for banks to improve their credit rating systems. An improvement of the statistical power of a rating system decreases the potential effects of adverse selection, and, combined with meeting several qualitative standards, decreases the amount of regulatory capital requirements. As a consequence, many banks have to make investment decisions where they have to consider the costs and the potential benefits of improving their rating systems. In our model the quality of a rating system depends on several parameters such as the accuracy of forecasting individual default probabilities and the rating class structure. We measure effects of adverse selection in a competitive one-period framework by parameterizing customer elasticity. Capital requirements are obtained by applying the current framework released by the Basel Committee on Banking Supervision. Results of a numerical analysis indicate that improving a rating system with low accuracy to medium accuracy can increase the annual rate of return on a portfolio by 30–40 bp. This effect is even stronger for banks operating in markets with high customer elasticity and high loss rates. Compared to the estimated implementation costs banks could have a strong incentive to invest in their rating systems. The potential of reduced capital requirements on the portfolio return is rather weak compared to the effect of adverse selection.     

Predicting unlisted SMEs' default: Incorporating market information on accounting-based models for improved accuracy

The risk associated with lending to small businesses has become more important since regulations started obliging banks to use separate procedures in assessing SMEs' credit worthiness. However, current accounting-based models for SMEs do not account for the impact of market information on default prediction. We fill this gap in the literature by introducing a hybrid default prediction model for unlisted SMEs that uses market information of listed SMEs (comparable approach) alongside existing accounting information of unlisted SMEs. Our results suggest that the accuracy of this default prediction modelling approach in the hold-out sample, during the period of the financial crisis 2007-09 and for the entire sample-period, improves considerably. We conclude that the proposed hybrid model is a good replacement for existing standard accounting-based methods on SMEs' default prediction.     

The parlous state of macroeconomics and the optimal financial structure

Macroeconomics remains in a parlous condition, largely because it has assumed away all financial frictions. Ultimately these latter depend on the possibility that borrowers might default on their repayments. Without default, there is no real role for most financial intermediations, collateral, liquidity or money. Yet default (especially of banks, the key ingredient of crises) is rarely modelled. In order to make banks safer, in the aftermath of the Great Financial Crisis, there are various proposals to restructure our banking systems, for example to dismantle universal banks into separate retail and investment parts. This partly derives from a mis-reading of the causes of the GFC, which was largely driven by an interaction between a housing boom and a bank credit expansion surfeit, thereby exaggerating leverage, mis-match and non-core bank finance. The need is for regulatory improvements that address these weaknesses.     

Financial Statements as Monitoring Mechanisms: Evidence from Small Commercial Loans

Using a data set that records banks’ ongoing requests of information from small commercial borrowers, we examine when banks use financial statements to monitor borrowers after loan origination. We find that banks request financial statements for half the loans and this variation is related to borrower credit risk, relationship length, collateral, and the provision of business tax returns, but in complex ways. The relation between borrower risk and financial statement requests has an inverted U‐shape; and tax returns can be both substitutes and complements to financial statements, conditional on borrower characteristics and the degree of bank–borrower information asymmetry. Frequent financial reporting is used to monitor collateral, but only for non–real estate loans and only when the collateral is easily accessible to lenders. Collectively, our results provide novel evidence of a fundamental information demand for financial reporting in monitoring small commercial borrowers and a specific channel through which banks fulfill their role as delegated monitors.     

Incentives to innovate and financial crises

In this paper I develop a model of a competitive financial system with unrestricted but costly entry and an endogenously determined number of competing financial institutions (“banks” for short). Banks can make standard loans on which plentiful historical data are available and unanimous agreement exists on default probabilities. Or banks can innovate and make new loans on which limited historical data are available, leading to possible disagreement over default probabilities. In equilibrium, banks make zero profits on standard loans and positive profits on innovative loans, which engenders innovation incentives for banks. But innovation brings with it the risk that investors could disagree with the bank that the loan is worthy of continued funding and hence could withdraw funding at an interim stage, precipitating a financial crisis. The degree of innovation in the financial system is determined by this trade-off. Welfare implications of financial innovation and mechanisms to reduce the probability of crises are discussed.     

Bank size, lending technologies, and small business finance

Under the current paradigm in small business lending research, large banks tend to specialize in lending to relatively large, informationally transparent firms using “hard” information, while small banks have advantages in lending to smaller, less transparent firms using “soft” information. We go beyond this paradigm to analyze the comparative advantages of large and small banks in specific lending technologies. Our analysis begins with the identification of fixed-asset lending technologies used to make small business loans. Our results suggest that large banks do not have equal advantages in all of these hard lending technologies and these advantages are not all increasing monotonically in firm size, contrary to the predictions of the current paradigm. We also analyze lines of credit without fixed-asset collateral to focus on relationship lending. We confirm that small banks have a comparative advantage in relationship lending, but this appears to be strongest for lending to the largest firms.     

Too Dispersed to Monitor? Ownership Dispersion,Monitoring, and the Prediction of Bank Distress

This paper conducts an empirical assessment of the theories stating that ownership concentration improves the quality of shareholders’ monitoring. In contrast with other studies, we do not use regressions of risk/performance on ownership concentration. Instead, we build an early warning model of bank distress that includes a leading indicator derived from banks’ share price, the Merton‐KMV distance to default (DD). The significance of this indicator depends on the efficacy of shareholders’ monitoring. On a sample of European banks, we show that the predictive power of the DD is satisfactory only when banks’ shareholding is characterized by the presence of blockholders.     

Ownership structure and risk in publicly held and privately owned banks

Using detailed ownership data for a sample of European commercial banks, we analyze the link between ownership structure and risk in both privately owned and publicly held banks. We consider five categories of shareholders that are specific to our dataset. We find that ownership structure is significant in explaining risk differences but mainly for privately owned banks. A higher equity stake of either individuals/families or banking institutions is associated with a decrease in asset risk and default risk. In addition, institutional investors and non-financial companies impose the riskiest strategies when they hold higher stakes. For publicly held banks, changes in ownership structure do not affect risk taking. Market forces seem to align the risk-taking behavior of publicly held banks, such that ownership structure is no longer a determinant in explaining risk differences. However, higher stakes of banking institutions in publicly held banks are associated with lower credit and default risk.