Assessing the risk-return trade-off in loan portfolios

This paper proposes a methodology to analyse the risk and return of large loan portfolios in a joint setting. I propose a tractable model to obtain the distribution of loan returns from observed interest rates and default frequencies. I follow a sectoral approach that captures the heterogeneous cyclical features of different kinds of loans and yields moments in closed form. I investigate the validity of mean–variance analysis with a value at risk constraint and study its relationship with utility maximisation. Finally, I study the efficiency of corporate and household loan portfolios in an empirical application to the Spanish banking system.     

Risk-based pricing of interest rates for consumer loans

By focusing on observable default risk's role in loan terms and the subsequent consequences for household behavior, this paper shows that lenders increasingly used risk-based pricing of interest rates in consumer loan markets during the mid-1990s. It tests three resulting predictions: First, the premium paid per unit of risk should have increased over this period. Second, debt levels should have reacted accordingly. Third, fewer high-risk households should have been denied credit, further contributing to the interest rate spread between the highest- and lowest-risk borrowers.For people obtaining loans, the premium paid per unit of risk did indeed become significantly larger after the mid-1990s. For example, for a 0.01 increase in the probability of bankruptcy, the corresponding interest-rate increase tripled for first mortgages, doubled for automobile loans and rose nearly six-fold for second mortgages. Additionally, changes in borrowing levels and debt access reflected these new pricing practices, particularly for secured debt. Borrowing increased most for the low-risk households who saw their relative borrowing costs fall. Furthermore, while very high-risk households gained expanded access to credit, the increases in their risk premiums implied that their borrowing as a whole either rose less or, sometimes, fell.     

Asymmetric effects of the business cycle on bank credit risk

Prior empirical research on the relation between credit risk and the business cycle has failed to properly investigate the presence of asymmetric effects. To fill this gap, we examine this relation both at the aggregate and the bank level exploiting a unique dataset on Italian banks’ borrowers’ default rates. We employ threshold regression models that allow to endogenously establish different regimes identified by the thresholds over/below which credit risk is more/less cyclical. We find that not only are the effects of the business cycle on credit risk more pronounced during downturns but cyclicality is also higher for those banks with riskier portfolios.     

Institutional demand pressure and the cost of corporate loans

Between 2001 and 2007, annual institutional funding in highly leveraged loans went up from $32 billion to $426 billion, accounting for nearly 70% of the jump in total syndicated loan issuance over the same period. Did the inflow of institutional funding in the syndicated loan market lead to mispricing of credit? To understand this relation, we look at the institutional demand pressure defined as the number of days a loan remains in syndication. Using market-level and cross-sectional variation in time-on-the-market, we find that a shorter syndication period is associated with a lower final interest rate. The relation is robust to the use of institutional fund flow as an instrument. Furthermore, we find significant price differences between institutional investors’ tranches and banks’ tranches of the same loans, even though they share the same underlying fundamentals. Increasing demand pressure causes the interest rate on institutional tranches to fall below the interest rate on bank tranches. Overall, a one-standard-deviation reduction in average time-on-the-market decreases the interest rate for institutional loans by over 30 basis points per annum. While this effect is significantly larger for loan tranches bought by collateralized debt obligations (CDOs), it is not fully explained by their role.     

A factor analysis approach to measuring European loan and bond market integration

By using an existing and a new convergence measure, this paper assesses whether bank loan and bond interest rates are converging for the non-financial corporate sector across the euro area. Whilst we find evidence for complete bond market integration, the market for bank loans remains segmented, albeit to various degrees depending on the type and size of the loan. Factor analysis reveals that rates on large loans and small loans with long rate fixation periods have weakly converged in the sense that, up to a fixed effect, their evolution is driven by common factors only. In contrast, the price evolution of small loans with short rate fixation periods is still affected by country-specific dynamic factors. There are few signs that bank loan rates are becoming more uniform with time.     

A statistically robust decomposition of mutual fund performance

Previous decompositions of risk-adjusted mutual fund performance might deliver biased results. In this paper, we provide new reliable insights on the drivers of mutual fund performance by decomposing risk-adjusted performance of U.S. equity mutual funds using the Generalized Calendar Time regression model. According to our results, out of all previously considered fund characteristics, only the negative effect of lagged fund size and the positive effects of lagged performance and lagged family size remain highly significant. Our analysis further suggests that much of the variation in previous empirical results can be attributed to methodological issues.     

Bank loan recovery rates: Measuring and nonparametric density estimation

In this paper we analyse a comprehensive database of 149,378 recovery rates on Italian bank loans. We investigate a new methodology to compute the recovery percentage that we suggest to consider as a mixed random variable. To estimate the probability density function of such a mixture, we propose the mixture of beta kernels estimator and we analyse its performance by Monte Carlo simulations. The application of these proposals to the Bank of Italy’s data shows that, even if we remove the endpoints from the support of the recovery rate, the density function estimate is far from being a beta function.     

International business: determinants of interbank activities

This paper investigates the determinants of the international interbank market, a significant component of international trade in financial services. The sample encompasses both monthly and quarterly data from 1983 to 1993. The superiority of the monthly results suggest that the interbank market should be modelled within a short-term framework. This data interval captures the short-term movement of funds between currencies, Eurobonds, the nonbank market and the domestic banking market by banks to maximize returns. Moreover, the interbank market does not necessarily move in line with fundamental trade and income variables. Rather, the market is sensitive to return differentials, the relative cost of capital, the yield curve and international nonbank assets. The empirical results also indicate that nationality remains important in interbank trading because of the advantages it imparts on the home country in dealing in its home currency, particularly if that currency is a vehicle currency.     

A study on long-run inefficiency levels of a panel dynamic cost frontier under the framework of forward-looking rational expectations

This paper aims to provide a theoretical underpinning of the dynamic efficiency model pioneered by [Ahn, S.C., Good, D.H., Sickles, R.C., 2000. Estimation of long-run inefficiency levels: A dynamic frontier approach. Econometric Reviews 19, 461–492]. In the context of a quadratic loss function this paper formulates a multi-period forward-looking rational expectations model on the evolution of the technical inefficiency level, which correctly produces a dynamic panel data model. The model is illustrated using panel data of 112 French banks. Encouraging evidence of superiority in favor of the model is reached. Substantial cost inefficiency prevails in this industry, where the constituent banks are characterized as having volatile adjustment speeds toward their long-run steady states. The sample banks exhibit increasing returns to scale and product-mix economies.     

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.     

The syndicate structure of securitized corporate loans

Securitized loans have lower lead bank shares, but larger shares held by non-CLO (collateralized loan obligation) institutional investors than nonsecuritized loans. The result can largely be explained by their degree of information asymmetry and credit risk. We find that lead banks increase their holdings after a nonsecuritized loan becomes securitized, but they do not reduce financial exposure to securitized facilities during the boom of the CLO market. Furthermore, we find that securitized loans do not perform differently from similar nonsecuritized loans. We conclude that differences in syndicate structure are likely shaped by participants’ investment preference rather than a manifestation of adverse selection.     

Marking-to-model credit and operational risks of loan commitments: A Basel-2 advanced internal ratings-based approach

Within a marking-to-model framework, this research computes the bank's capital charge for credit and operational risks of loan commitments at Basel-2 fixed audit date. This is done in three steps. The first one prices commitment credit risk as a Gram-Charlier put value and determines the commitment forward-funding proportion. In the second one, put value and funding proportion are combined to compute Basel-2 ‘fair’ capital charge for credit and operational risks. By producing a moderate total capital charge, marking-to-model offers substantial capital relief with respect to the corresponding charge computed with Basel-2 simplified approach. Both charges are however larger than the corresponding nil charge arrived at in Basel-1. In the third step, marking-to-model reveals its flexibility by showing how banks can determine the cost of their exposure to borrowers' credit-rating downgrades and how they can also hedge any exposure to commitment default risk.     

Nonlinear dynamics in discretionary accruals: An analysis of bank loan-loss provisions

Several studies have analyzed discretionary accruals to address earnings-smoothing behaviors in the banking industry. We argue that the characteristic link between accruals and earnings may be nonlinear, since both the incentives to manipulate income and the practical way to do so depend partially on the relative size of earnings. Given a sample of 15,268 US banks over the period 1996–2011, the main results in this paper suggest that, depending on the size of earnings, bank managers tend to engage in earnings-decreasing strategies when earnings are negative (“big-bath”), use earnings-increasing strategies when earnings are positive, and use provisions as a smoothing device when earnings are positive and substantial (“cookie-jar” accounting). This evidence, which cannot be explained by the earnings-smoothing hypothesis, is consistent with the compensation theory. Neglecting nonlinear patterns in the econometric modeling of these accruals may lead to misleading conclusions regarding the characteristic strategies used in earnings management.     

The influence of loan officers on loan contract design and performance

We investigate the extent to which loan officers generate independent, individual effects on the design and performance of syndicated loans. We construct a large database containing the identities of loan officers involved in structuring syndicated loan deals, allowing us to systematically disentangle borrower, bank, and loan officer fixed effects. We find that loan officers have significant influence on interest spreads, loan covenant design, and loan performance. Inclusion of borrower fixed effects increases our power to rule out the alternative that loan officer fixed effects reflect the matching of officerds to borrowers based on time-invariant borrower characteristics. We document heterogeneity in loan officers’ influence across loan contract terms, with loan officers exerting stronger influence over covenant package design than over interest spreads, but marginal influence on loan maturity. Lead officers have greater influence than participant officers over covenant package design and loan performance, but less robust differential influence on interest spreads.     

The expansion of services in European banking: Implications for loan pricing and interest margins

Our study of 602 European banks over 1996–2002 investigates how the banks’ expansion into fee-based services has affected their interest margins and loan pricing. We find that higher income share from commissions and fees is associated with lower margins and loan spreads. The higher the commission and fee income share, moreover, the weaker the link between bank loan spreads and loan risk. The latter result is consistent with the conjecture that banks price (or misprice) loans to increase sales of other services. That loss leader (or cross selling) hypothesis has implications for bank regulation and competition with (non-bank) lenders.     

Reject inference in consumer credit scoring with nonignorable missing data

We generalize an empirical likelihood approach to deal with missing data to a model of consumer credit scoring. An application to recent consumer credit data shows that our procedure yields parameter estimates which are significantly different (both statistically and economically) from the case where customers who were refused credit are ignored. This has obvious implications for commercial banks as it shows that refused customers should not be ignored when developing scorecards for the retail business. We also show that forecasts of defaults derived from the method proposed in this paper improve upon the standard ones when refused customers do not enter the estimation data set.     

House prices,bank instability,and economic growth: Evidence from the threshold model

This paper examines the effects of house prices on bank instability when gauged at various levels of income growth. Bank stability may respond differently to house price changes or deviations from fundamental values in an economic boom environment than in a bust circumstance. A threshold estimation technique developed by Hansen (1999) is applied to a panel of 286 U.S. Metropolitan Statistical Areas (MSAs) over the period 1990Q1–2010Q4. We consider two house price indicators: the house price changes and the house price deviations from long-run equilibrium. The results suggest the existence of income growth threshold effects in the relationship between house prices and bank instability. Specifically, there are two income growth thresholds when using the house price changes and one income growth threshold when the house price deviations are applied. Robustness results using the non-MSAs sample from 1995Q1 to 2010Q4 provide further evidence of income growth threshold effects.     

Board quality and the cost of debt capital: The case of bank loans

We analyze the relation between comprehensive measures of board quality and the cost as well as the non-price terms of bank loans. We show that firms that have higher quality boards with a greater advisory presence borrow at lower interest rates. This relation exists even after controlling for ownership structure, CEO compensation policy, and shareholder protection, as well as the size and financial characteristics of the borrower and of the loan. We also show evidence that board quality and other governance characteristics influence the likelihood that loans have covenant requirements, but the relations differ by covenant type. When we combine the direct and indirect costs of bank loans we find that firms with large, independent, experienced, and diverse boards and lower institutional ownership borrow more cheaply. Overall, the evidence indicates that board quality impacts the cost of bank debt.     

Impact of idiosyncratic volatility on stock returns: A cross-sectional study

This paper proposes a new approach to estimate the idiosyncratic volatility premium. In contrast to the popular two-pass regression method, this approach relies on a novel GMM-type estimation procedure that uses only a single cross-section of return observations to obtain consistent estimates. Also, it enables a comparison of idiosyncratic volatility premia estimated using stock returns with different holding periods. The approach is empirically illustrated by applying it to daily, weekly, monthly, quarterly, and annual US stock return data over the course of 2000–2011. The results suggest that the idiosyncratic volatility premium tends to be positive on daily return data, but negative on monthly, quarterly, and annual data. They also indicate the presence of a January effect.     

Risk sharing,finance, and institutions in international portfolios

We develop a standard model to show how transaction costs in international investment affect conventional tests of consumption risk sharing, both in a multilateral and a bilateral setting. We implement the tests in a novel international data set on bilateral holdings of equity, bonds, foreign direct investment (FDI) and bank loans. In our data, high foreign capital holdings are associated with international consumption risk sharing as implied by our theory. This is especially true of investment in equity or bonds, but not of foreign direct investment or bank loans. In our model, the implication is that transaction costs are higher for FDI and international loans. The discrepancy could reflect technological differences, but also the prospect of expropriation, perhaps most stringent for FDI or loans. We argue that expropriation risk is endogenous to both the borrower's institutions and its openness to international markets. The detrimental impact of poor institutions is muted in open economies, where the possibility of subsequent exclusion from world markets deters expropriation of foreign capital. We show the implied effects of institutions prevail in both the cross-section of consumption risk sharing and in observed international investment patterns.