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.

     

An Investigation of the Degree of Market Power in the Greek Manufacturing and Service Industries

This paper investigates the degree of market power in the Greek manufacturing and service industries over the period 1970–2007. The markup model developed by Hall (1988) and Roeger (1995) is taken into consideration where market power is expressed as the difference between the selling price and the marginal cost of production. The analysis will be conducted in three steps; the first step estimates the price-cost margin of the manufacturing and services industries over 1970–2007; the second step applies the cross section specification under which the markup ratio is obtained for the 23 manufacturing and 26 service 2-digit ISIC sectors of the panel sample; and the third step estimates the price-cost margin of the manufacturing and services industries for each year over 1973–2007 by employing the Hall-Roeger time series specification. The empirical findings suggest that both industries exert a positive markup ratio; however, the service industry appears to be less competitive than the manufacturing industry.     

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.     

Efficiency and stock returns: evidence from the insurance industry

This study investigates whether the capital market values the efficiency of firms. After tracing stock returns and efficiency changes of 399 listed insurance firms in 52 countries during the 2002–2008 period, the paper reports a positive and statistically significant relationship between profit efficiency change and market adjusted stock returns. However, there is no robust evidence that cost efficiency change is associated with stock returns.     

Innovation and total factor productivity in organic farming

This article measures the contribution of innovations to Total Factor Productivity (TFP) of organic olive farmers. By constructing an innovation variable instead of using a time trend, technical change is replaced by technical difference and TFP growth becomes TFP difference. Primary cross-section data on organic olive enterprises from a Greek region is used in the application of the stochastic frontier profit function. Farmers are classified into groups according to their innovative ‘profile’. TFP difference among consecutive innovation groups is decomposed into technical difference and adjustment in innovativeness effects. Results indicate that more innovative farmers perform better than less innovative ones regarding TFP scores. The rate of technical difference is always positive to the formation of TFP difference, whereas the adjustment in innovativeness effects varies among the innovation groups. Nevertheless, high-tech capital is to a different extent under-utilized, regardless of the innovation group.     

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.      

Classification techniques for the identification of falsified financial statements: a comparative analysis

In this study, I develop 10 alternative classification models using logit analysis, discriminant analysis, support vector machines, artificial neural networks, probabilistic neural networks, nearest neighbours, UTADIS and MHDIS for the detection of falsified financial statements. The models are developed using financial and nonfinancial data. The sample includes 398 financial statements, half of which were assigned a qualified audit opinion. I compare these alternatives methods using out‐of‐time and out‐of‐sample tests. The results are used to derive conclusions on the performance of the methods and to investigate the potential of developing models that will assist auditors in identifying fraudulent financial statements. Copyright © 2009 John Wiley & Sons, Ltd.     

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.     

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.     

Efficiency in the Greek Banking Industry: A Comparison of Foreign and Domestic Banks

This study uses a sample of foreign and domestic banks operating in Greece during 1999–2004 to examine the impact of ownership on efficiency. We estimate an input oriented data envelopment analysis (DEA) model under variable returns to scale with inputs and outputs selected on the basis of a profit‐oriented approach. The results indicate an average pure technical efficiency equal to 0.7325 showing that the banks in sample could improve their efficiency by 26.75%. Over the same period, scale efficiency was equal to 0.6830. The comparison of the efficiency scores by group of ownership shows that domestic banks have higher pure technical efficiency and lower scale efficiency; however, the differences are not statistically significant. A DEA window‐analysis confirms the results of the cross‐section estimations. We also estimate a Tobit regression model but consistent with the univariate results we find no evidence to support the argument that ownership has a statistically significant impact on efficiency.