Macroprudential regulations and bank profit efficiency: international evidence

This study examines the impact of macroprudential regulations on bank profit efficiency. The latter is being estimated with a production frontier function using a cross-country dataset of more than 3000 banks from over 130 countries during 2013–2018. The results show that macroprudential regulatory policies diminish bank efficiency. This finding applies to both borrower-targeted and financial institutions-targeted policies, and it is robust to the inclusion of controls for microprudential regulations, financial consumer protection policies, and other county-level characteristics in the regressions.

     

Explaining qualifications in audit reports using a support vector machine methodology

The verification of whether the financial statements of a firm represent its actual position is of major importance for auditors, who should provide a qualified report if they conclude that the financial statements fail to meet this requirement. This paper implements support vector machines (SVMs) to develop models that may support auditors in this task. Linear and non‐linear models are developed and their performance is analysed using training samples of different size and out‐of‐sample/out‐of‐time data. The results show that all SVM models are capable of distinguishing between qualified and unqualified financial statements with satisfactory accuracy. The performance of the models over time is also explored. Copyright © 2005 John Wiley & Sons, Ltd.     

Bank Productivity Change and Off-Balance-Sheet Activities Across Different Levels of Economic Development

This study analyses the impact of OBS on banking productivity growth using a sample of 712 banks from 84 countries between 1999 and 2006. Our international setting allows us to analyse differences on the performance on banking institutions among various groups of countries with different economic and financial innovations development. We estimate cost and profit productivity growth using a parametric approach that decomposes the change in risk-adjusted cost and profit performance into two main components: changes in business conditions and changes in productivity. The latter one is decomposed further into the change in best practice and change in (in)efficiency.     

The prediction of bank acquisition targets with discriminant and logit analyses: Methodological issues and empirical evidence

This paper uses discriminant and logit analyses to develop prediction models to identify bank acquisition targets. We consider several methodological issues, such as whether the choice of the estimation technique, the selection of variables, the use of raw versus industry relative data, the train-and-test sampling scheme, and the criteria for model evaluation affect the predictive accuracy of the developed models. Both estimation methods generate remarkably similar model performance rankings, while differences are revealed in the relative importance of variables when using raw versus industry relative data. We find that in most cases there is a fair amount of misclassification, consistent with previous studies in non-financial sectors, which is hard to avoid given the nature of the problem.     

International evidence on the impact of regulations and supervision on banks’ technical efficiency: an application of two-stage data envelopment analysis

This study uses a sample of 715 banks from 95 countries and two-stage data envelopment analysis (DEA) to provide international evidence on the impact of regulations and supervision approaches on banks’ efficiency. We first use DEA to estimate technical and scale efficiency. We then use Tobit regression to investigate the impact of several regulations related to capital adequacy, private monitoring, banks’ activities, deposit insurance schemes, disciplinary power of the authorities, and entry into banking on banks’ technical efficiency. We estimate several specifications while controlling for bank-specific attributes and country-level characteristics accounting for macroeconomic conditions, financial development, market structure, overall institutional development, and access to banking services. In several cases, the results provide evidence in favour of all three pillars of Basel II that promote the adoption of strict capital adequacy standards, the development of powerful supervisory agencies, and the creation of market disciplining mechanisms. However, only the latter one is significant in all of our specifications. While the remaining regulations do not appear to have a robust impact on efficiency, several other country-specific characteristics are significantly related to efficiency.

Prediction of open market share repurchases and portfolio returns: evidence from France,Germany and the UK

This study uses logistic regression for the development of prediction models that distinguish between share-repurchasing and non-share repurchasing firms. The estimated models form the basis for an investment strategy, according to which one invests on the stock of the firms that are predicted as repurchasing ones. Using a sample of firms from the UK, France, and Germany, the results show that this strategy generates positive and statistically significant abnormal returns over different investment periods that range between 1 and 18 months.     

A multicriteria discrimination approach for the credit rating of Asian banks

In this paper we develop a multicriteria decision aid model, to investigate whether it is possible to replicate the credit ratings of Fitch on Asian banks using publicly available data. The model is developed with the Multi-group Hierarchical DIScrimination (MHDIS) approach, following a tenfold cross validation procedure. Five financial variables are selected from a list of nineteen ones through factor analysis. An additional set of five non-financial variables covering ownership, corporate governance, auditing, strength of bank’s franchise and its banking environment is also being used. The results show that equity/customer and short term funding, net interest margin and return on average equity are the most important financial variables. The number of shareholders, the number of subsidiaries and the banking environment of the country in which the banks operate are the most important non-financial ones. In terms of classification accuracies, the results show that the MHDIS model can replicate the credit ratings of Fitch with a satisfactory accuracy and is more efficient than discriminant analysis and ordered logistic regression that are used for comparison purposes.      

The impact of non-traditional activities on the estimation of bank efficiency: International evidence

This paper investigates the relevance of non-traditional activities in the estimation of bank efficiency levels using a sample of 752 publicly quoted commercial banks from 87 countries around the world, allowing comparison of the impact of such activities under different levels of economic development, geographical regions and other country characteristics. We estimate both cost and profit efficiency of banks using a traditional function that considers loans and other earnings assets as the only outputs, and two additional functions to account for non-traditional activities, one with off-balance sheet (OBS) items and the other with non-interest income as an additional output. Controlling for cross-country differences in regulatory and environmental conditions, we find that, on average, cost efficiency increases irrespective of whether we use OBS or non-interest income, although the results for profit efficiency are mixed. Our results also reveal that while the inclusion of non-traditional outputs does not alter the directional impact of environmental variables on bank inefficiency, regulations that restrict bank activities and enhance monitoring and supervision provisions improve both cost and profit efficiency.     

A comparison of nearest neighbours,discriminant and logit models for auditing decisions

This study investigates the efficiency of k-nearest neighbours (k-NN) in developing models for estimating auditors' opinions, as opposed to models developed with discriminant and logit analyses. The sample consists of 5276 financial statements, out of which 980 received a qualified audit opinion, obtained from 1455 private and public UK companies operating in the manufacturing and trade sectors. We develop two industry-specific models and a general one using data from the period 1998–2001, which are then tested over the period 2002–2003. In each case, two versions of the models are developed. The first includes only financial variables. The second includes both financial and non-financial variables. The results indicate that the inclusion of credit rating in the models results in a considerable increase both in terms of goodness of fit and classification accuracies. The comparison of the methods reveals that the k-NN models can be more efficient, in terms of average classification accuracy, than the discriminant and logit models. Finally, the results are mixed concerning the development of industry-specific models, as opposed to general models. Copyright © 2007 John Wiley & Sons, Ltd.     

Factors influencing the profitability of domestic and foreign commercial banks in the European Union

Using bank level data this paper examines how bank's specific characteristics and the overall banking environment affect the profitability of commercial domestic and foreign banks operating in the 15 EU countries over the period 1995–2001. The results indicate that profitability of both domestic and foreign banks is affected not only by bank's specific characteristics but also by financial market structure and macroeconomic conditions. All the variables, with the exception of concentration in the case of domestic banks profits, are significant although their impact and relation with profits is not always the same for domestic and foreign banks.