Can mergers ensure the survival of credit unions in the third millennium?

The survival of small financial institutions in the third millennium depends on their competitiveness against large bank rivals. Accordingly, credit unions in Australia and the United States have attempted to increase efficiency through mergers. Our paper uses the data envelopment analysis methodology to evaluate the post-merger gains in technical and scale efficiency achieved by 31 Australian credit union mergers in 1993/1994 and 1994/1995, relative to non-merging credit unions. When compared with the only US study of credit union mergers [Journal of Banking & Finance 23 (1999) 367–386], our findings suggests that mergers are not associated with improvements in efficiency superior to those achieved by internal growth.     

The effect of mergers on credit union performance

The motivation for mergers in the credit union industry differs from the commercial bank industry due to the lack of residual claimants to benefit from wealth gains. In the cooperative ownership environment of credit unions, the owners/members gain utility via the rates offered for loans and deposits. Credit union regulators also gain utility when mergers remove risky credit unions from the industry. We measure these utility gains using the event study method of Bauer [Bauer, K., 2008. Detecting abnormal credit union performance. Journal of Banking and Finance 32, 573–586] employing quadrant tests based on a multivariate test of equality of centroids. We find gains to the owners/members of the target credit union and to the regulators but not to the acquiring firm. We posit that the acquiring credit unions may encounter regulatory pressure to merge. In addition, the owners/members of the acquiring firm may avoid potential disutility in the cooperative insurance environment were the target firm allowed to fail.     

Do credit unions use their tax advantage to benefit members? Evidence from a cost function

This paper examines whether the credit union income tax subsidy is passed along to members or consumed by managers. To that end, we estimate a translog cost function for credit unions and mutual thrifts that is tailored to the unique objectives of mutually owned depository institutions. We find that credit unions with residential common bonds have higher costs than mutual thrifts, but single common bond occupational and associational credit unions are more cost efficient. Thus, it appears that residential credit unions engage in expense preference behavior and hence redirect some portion of their tax benefit away from members.     

Examining the disclosures on the websites of English credit unions

This paper examines the disclosures made on English credit unions’ websites. Credit unions without a website are presumed to be small. Community credit unions with websites tend to offer basic services with a limited range of products that may appeal to poorer members of society. Occupational credit unions appear more likely to have a greater range of products.     

U.S. credit union motivation for involvement in the first-mortgage market

U.S. credit union involvement in first-mortgage lending has grown rapidly since extended lending powers were granted through several regulatory changes from 1977 to 1984. The purpose of this study is to examine credit unions that initiated first-mortgage lending programs during the period 1983 through 1988, and attempt to identify factors or variables that influenced the decision to become active in the first-mortgage market. The results indicate that there are certain factors that distinguish credit unions that become involved in first-mortgage lending from those that do not. Specifically, the size of a credit union, a full-service orientation, and a residential type of membership bond were factors consistently significant in their relationship to first-mortgage initiation.     

The diversification and financial performance of US credit unions

For US credit unions, revenue from non-interest sources has increased significantly in recent years. We investigate the impact of revenue diversification on financial performance for the period 1993–2004. The impact of a change in strategy that alters the share of non-interest income is decomposed into a direct exposure effect, reflecting the difference between interest and non-interest bearing activities, and an indirect exposure effect which reflects the effect of the institution’s own degree of diversification. On both risk-adjusted and unadjusted returns measures, a positive direct exposure effect is outweighed by a negative indirect exposure effect for all but the largest credit unions. This may imply that similar diversification strategies are not appropriate for large and small credit unions. Small credit unions should eschew diversification and continue to operate as simple savings and loan institutions, while large credit unions should be encouraged to exploit new product opportunities around their core expertise.     

The evolution of cost-productivity and efficiency among US credit unions

Advances in information-processing technology have eroded the advantages of small scale and proximity to customers that traditionally enabled small lenders to thrive. Nonetheless, the membership and market share of US credit unions have increased, though their average size has also risen. We investigate changes in the efficiency and productivity of US credit unions during 1989–2006 by benchmarking the performance of individual firms against an estimated order-α quantile lying “near” the efficient frontier. We construct a cost analog of the Malmquist productivity index, which we decompose to estimate changes in cost and scale efficiency, and changes in technology. We find that cost-productivity fell on average across all credit unions but especially among smaller credit unions. Smaller credit unions confronted a shift in technology that increased the minimum cost required to produce given amounts of output. All but the largest credit unions also became less scale efficient over time.     

Deposit insurance and credit union lending

We exploit an exogenous change in the coverage of insured deposits following the passage of the Emergency Economic Stabilization Act (2008) to investigate the impact of deposit insurance on the volume, composition and quality of credit union lending. Using a difference-in-difference approach, we find changes in the volume, composition and riskiness of credit union lending. Specifically, we find that affected credit unions increase total and unsecured lending, leading to a decline in loan quality. Overall, our results suggest that an increase in the maximum coverage of insured deposits induces credit unions to lend more at the expense of loan quality.     

Economic policy uncertainty and credit growth: Evidence from a global sample

This study extends the research of Bordo, Duca, and Koch (2016) and Hu and Gong (2018) by examining the influences of economic policy uncertainty (EPU) at domestic and global levels on aggregate bank credit growth. The empirical analysis is conducted through both supply and demand side factors of bank credit growth in 22 economies over the period 2001–2015. This study employs different measures of EPU and applies panel-corrected standard errors (PCSE) and feasible generalized least squares (FGLS), which are suitable for unbalanced panel data models. Three principal findings are follows. First, higher level of EPU has negative impact on bank credit growth, which is significant for domestic EPU measures. Second, the positive change in EPU appears to have favorable effects on bank credit growth. The effects in both cases are different for the credit demand and supply sides. The findings suggest the need for appropriate measures to tackle bank credit risk-taking activities in uncertain conditions. Third, the impacts of EPU in emerging economies are negative and somewhat stronger than in advanced economies.     

Irish credit unions: Differential regulation based on business model complexity

This study examines the business model complexity of Irish credit unions using a latent class approach to measure structural performance over the period 2002 to 2013. The latent class approach allows the endogenous identification of a multi-class framework for business models based on credit union specific characteristics. The analysis finds a three class system to be appropriate with the multi-class model dependent on three financial viability characteristics. This finding is consistent with the deliberations of the Irish Commission on Credit Unions (2012) which identified complexity and diversity in the business models of Irish credit unions and recommended that such complexity and diversity could not be accommodated within a one size fits all regulatory framework. The analysis also highlights that two of the classes are subject to diseconomies of scale. This may suggest credit unions would benefit from a reduction in scale or perhaps that there is an imbalance in the present change process. Finally, relative performance differences are identified for each class in terms of technical efficiency. This suggests that there is an opportunity for credit unions to improve their performance by using within-class best practice or alternatively by switching to another class.     

Exploring the components of credit risk in credit default swaps

In this paper, we test the influence of various fundamental variables on the pricing of credit default swaps. The theoretical determinants that are important for pricing credit default swaps include the risk-free rate, industry sector, credit rating, and liquidity factors. We suggest a linear regression model containing these different variables, especially focusing on liquidity factors. Unlike bond spreads which have been shown to be inversely related to liquidity (i.e., the greater the liquidity, the lower the spread), there is no a priori reason that the credit default swap spread should exhibit the same relationship. This is due to the economic characteristics of a credit default swap compared to a bond. Our empirical result shows that all the fundamental variables investigated have a significant effect on the credit default swap spread. Moreover, our findings suggest that credit default swaps that trade with greater liquidity have a wider credit default swap spread.     

The effect of credit guarantees on credit availability and delinquency rates

We use new data to examine whether credit guarantees affect economic incentives and whether they affect the credit available to small- and medium-size enterprises (SMEs). We find that firms that have both guaranteed and non-guaranteed loans are 1.67% more likely to miss payments on their guaranteed loans, but are not more likely to default on these loans. These findings suggest that guarantees affect firms’ incentives to repay loans but not their long-term performance. We also find that firms selected into the guarantee programs are 1.17% more likely to default on their loans compared with similar firms that borrow without guarantees. Since we find evidence that long-term performance is not affected by guarantees, the higher default rates among firms selected into the guarantee programs must be the consequence of adverse selection. We also find that credit guarantees increase the aggregated amount of credit; in particular, one additional dollar of guarantees increases the total credit for SMEs by US$ 0.65.     

Laying off credit risk: Loan sales versus credit default swaps

How do markets for debt cash flow rights, with and without accompanying control rights, affect the efficiency of lending? A bank makes a loan, learns if it needs monitoring, and then decides whether to lay off credit risk. The bank can transfer credit risk by either selling the loan or buying a credit default swap (CDS). With a CDS, the originating bank retains the loan's control rights; with loan sales, control rights pass to the loan buyer. Credit risk transfer leads to excessive monitoring of riskier credits and insufficient monitoring of safer credits. Increases in banks' cost of equity capital exacerbate these effects. For riskier credits, loan sales typically dominate CDS but not for safer credits. Once repeated lending and consequent reputation concerns are modeled, although CDSs remain dominated by loan sales for riskier credits, for safer credits they can dominate loan sales, supporting better monitoring (albeit to a limited extent) while allowing efficient risk sharing. Restrictions on the bank's ability to sell the loan expand the range in which CDSs are used and monitoring is too low.     

The (un)informative value of credit rating announcements in small markets

This work examines the information value of local Israeli credit rating announcements. This matter is also important to other small markets, in which a debt issuer may take advantage of a “rating shopping” process or choose to avoid a rating procedure altogether, because the agencies do not carry out unsolicited rating. We analyze the bond and equity markets response to various rating announcements at different time periods. We find that except for downgrades in 2008–2009 the rating announcements have no information value. It seems that generally the market internalizes most of the information prior to the rating announcements.     

Financial statement recasting and credit risk assessment

This article examines the importance of adjustments to corporate financial statements for credit risk assessment. Prior research has tended to examine individual adjustments one at a time. As correlations among adjustments and control variables may bias inferences when researchers examine a single adjustment and ignore other adjustments, our results provide important new information about previous research by documenting whether or not such bias exists. We find that financial statement recasting adjustments – which aim to better reflect firms' indebtedness, financing costs and recurring earnings than reported financial numbers – are reflected in bond yield spreads and have an economically significant impact on credit pricing and loss forecasting. Among individual adjustment categories, we find that those for off‐balance‐sheet leases, defined benefit pensions and securitized debt have an economically significant impact on credit pricing and loss forecasting.     

Internet,consumer spending,and credit card balance: Evidence from US consumers

Utilizing the 2013 Survey of Consumer Finances data, the present study aims to examine the role of the Internet in carrying a credit card balance among US households. The central question of this study is whether or not households with Internet access have more favorable attitudes toward incurring more credit card balance. This study further investigates whether education, income, gender, age, race, etc., make any differences in carrying credit card debt when households have access to the Internet. Our results with the Tobit model show that having access to the Internet increases the probability of carrying a positive credit card balance by 4% to 5% compared to those who do not have access to the Internet. This result does not apply to older Americans. Our results further indicate that education decreases the probability of carrying a positive credit balance for households that have access to the Internet, while income and liquid assets may have little positive effect on that probability. The results suggest that Internet leads to more debt, but education could alleviate that debt.     

Partial credit guarantees and SMEs financing

Using data for the Italian Central Guarantee Fund for Small and Medium Enterprises, the paper analyses the effect of partial credit guarantees on firms’ financing. We show that neglecting heterogeneity in guarantee intensities, namely considering all firms as equally treated, leads to a mis-measurement of the additionality effect. Moreover, we document the existence of non-linear effects, suggesting that coverage ratios below a certain threshold are likely to be ineffective to lessen obstacles faced by firms when seeking external financing funds.     

A mathematical model for multi-name credit based on community flocking

We present a new mathematical model for multi-name credit that employs stochastic flocking. Flocking mechanisms have been used in a variety of models of biological, sociological and physical aggregation phenomena. As a direct application of a flocking mechanism, we introduce a credit risk model based on community flocking for a credit worthiness index. Correlations between different credit worthiness indices are explained in terms of communication rates and coupling strengths from the flocking system. Based on the flocking model, we compute credit curves for individual names and default time distributions. We also apply the proposed model to the pricing of credit derivatives such as credit default swaps and collateralized debt obligations.     

Understanding credit ratings quality: Evidence from UK debt market participants

This study seeks to identify: (i) the demand for corporate bond ratings provided by credit ratings agencies (CRAs); (ii) how issuers select CRAs; and (iii) to better understand ratings quality, a term widely used by commentators, politicians and regulators, but under-explored in the academic literature. Interviews identify the principal source of demand for rating information is to reduce agency conflicts between issuers and investors. Issuers typically engage between one and three credit ratings agencies to rate their debt, implying a heterogeneous demand for ratings services, and different levels of ratings quality. However, ratings quality extends beyond competence and independence to include factors relating to professional judgment, communication, transparency, and the quality and continuity of analytic staff. Findings were discussed in the light of the ongoing international policy debate concerning CRAs.