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.

     

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.     

Market share determination in marketing service industries - A demand side approach∗

A marketing service industry provides its business clients with its services such as advertising media or inbound telecommunication ( i.e. toll free 800 calls) to increase their sales. By extending Dorfman and Steiner (1954) to the world where firms obtain costly marketing services from outside specialized providers, this paper studies the market shares of providers of a marketing service from the perspective of their clients. It derives that at the optimal point for a representative client, a provider's market share equals the ratio of the profits contributed by its service to the total profits contributed by the services of all providers in the market. Under certain conditions, a provider's market share is just a function of quality-price ratios. This result should facilitate choosing a marketing service from alternative providers and analyzing market shares in marketing-service industries.     

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.     

Market Structure, Efficiency and Rising Consolidation of the Banking Industry in the Euro Area

Four factors are fundamentally altering the financial landscape in the Euro Area: deregulation, further disintermediation provoked by the common currency and common monetary policy, technological advances and increased competition from non‐bank intermediaries. Faced with the combined pressures of these factors, banks are devising strategies to do business in this new environment. They respond by attempting to improve their efficiency and/or market power through consolidation and balance sheet restructuring. This article examines whether the ongoing process of consolidation should be rationalized on the basis of the benefits of economies of scale and scope or to the attempt of banks to tackle excess capacity problems. Empirical findings reveal a significant effect of efficiency measures on banking profitability indices. Also, we argue that further disintermediation caused by common currency and common monetary policy poses a threat to banks' profitability. Finally, these results have some implications for merger and antitrust policy as well as for supervisory and regulatory practices.     

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.     

Investment decisions in the wireless industry applying real options

The wireless industry is one of the most capital intensive high-technology industries. This paper applies real options techniques to estimate investments under uncertainty in two new ventures: (a) deferral of the expansion from 2.5G to 3G networks; and (b) expansion of a 2.5G network using Wi-Fi as an alternative technology. The cases are examined and analyzed both qualitatively and quantitatively, using realistic assumptions and parameters. Investment cost, number of subscribers, pricing of services, and risk are at the core of investment decision processing. In both cases, sensitivity analysis of the value of the (real) option considering the above key parameters was conducted, to extrapolate useful findings that should be taken into consideration by the decision makers in wireless companies.     

Achieving low-cost UMTS networks via pricing

One of the main concerns of mobile operators towards deployment of Universal Mobile Telecommunications System (UMTS) networks is the investment cost. The costly radio access network, based on the network equipment required in a service area, prevents incumbents and new entrants from upgrading or building a new UMTS network. In this article, a novel, low-cost approach to the UMTS radio access network design is proposed. The approach employs the use of pricing incentives. This approach is based on the assumption that a pricing mechanism is in place to control excessive traffic load during peak periods. By incorporating this assumption into the network design, the network designer is able to relax certain design parameters, which may contribute to significant savings in equipment cost. Investigation is focused on the UMTS coverage and capacity planning, using the Net Present Value (NPV) financial analysis. For certain price-sensitivity levels, the analysis indicates that this approach provides a suitable strategy for mobile operators to comfortably move forward with UMTS upgrade and gain competitive edge in the wireless market.     

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.     

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.