Economies of scale and scope in French banking and savings institutions

In this study, we analyze the costs incurred by French commercial banks and savings institutions. One of the main distinctions between these two types of financial entities concerns management costs, which are higher for commercial bank demand deposits than for the savings institutions' tax-free livret A passbook accounts. Taking this differential into consideration by constructing separate models based on different principles, we find that the average overall and operating costs of the savings institutions are half those of commercial banks. As regards operating costs, small savings institutions enjoy a significant cost advantage over small commercial banks, but this cost advantage is smaller when one compares the performance of large savings institutions to the large banks. The results of our econometric estimates suggest a possible explanation, as we find increasing returns to scale for the banks and diminishing returns for the savings institutions. The value of the returns-to-scope parameter at the mean point appears to indicate a complementarity between certain pairs of outputs. Therefore, ouptut diversification appears to have a positive impact on cost levels for both savings institutions and commercial banks; while institution size, measured by the total assets, has a different impact in these two industries.     

Analyzing the effect of derivatives on the financial soundness of commercial banks in Italy: An approach based on the CAMELS framework

Italian economy is among the biggest economies in the Europe which suffered from the repercussions of the global financial crisis during this last decade. The weakness of Italian banking system coincides with the common debate about the implication of derivatives in the distress of banks’ soundness. Thus, the aim of our research is to examine the effect of derivative instruments on the banks’ soundness in Italy. To reach our goal, the CAMELS approach is employed to define the soundness of Italian commercial banks. To overcome the endogeneity issue of variables, an appropriate econometric procedure, namely the dynamic Generalized Method of Moments (GMM system) is applied using data from 22 commercial banks in Italy over the period 2005–2015. Explanatory variables are defined by derivative instruments (forwards, swaps, options, and futures), bank‐specific variable (bank's size as non‐CAMELS variable), industry‐specific variables (CR3, CR5, and HHI as indicators of bank's sector and market concentrations), and country‐specific variables (GDP and inflation). The main results reveal that the majority of the CAMELS indicators are favorably affected by derivative instruments especially forwards and options. The most important conclusion is that using derivative instruments does not threaten the financial soundness of commercial banks in Italy. As major implication decision‐makers and experts—after the global financial crisis—should not consider derivatives in part as responsible of the fragility of the Italian banking system.     

Mean–variance and mean–semivariance portfolio selection: a multivariate nonparametric approach

While univariate nonparametric estimation methods have been developed for estimating returns in mean-downside risk portfolio optimization, the problem of handling possible cross-correlations in a vector of asset returns has not been addressed in portfolio selection. We present a novel multivariate nonparametric portfolio optimization procedure using kernel-based estimators of the conditional mean and the conditional median. The method accounts for the covariance structure information from the full set of returns. We also provide two computational algorithms to implement the estimators. Via the analysis of 24 French stock market returns, we evaluate the in-sample and out-of-sample performance of both portfolio selection algorithms against optimal portfolios selected by classical and univariate nonparametric methods for three highly different time periods and different levels of expected return. By allowing for cross-correlations among returns, our results suggest that the proposed multivariate nonparametric method is a useful extension of standard univariate nonparametric portfolio selection approaches.     

An Approach to Security for Unstructured Big Data

Security of Big Data is a huge concern. In a broad sense, Big Data contains two types of data: structured and unstructured. Providing security to unstructured data is more difficult than providing security to structured data. In this paper, we have developed an approach to provide adequate security to unstructured data by considering types of data and their sensitivity levels. We have reviewed the different analytics methods of Big Data to build nodes of different types of data. Each type of data has been classified to provide adequate security and enhance the overhead of the security system. To provide security to a data node, and a security suite has been designed by incorporating different security algorithms. Those security algorithms collectively form a security suite which has been interfaced with the data node. Information on data sensitivity has been collected through a survey. We have shown through several experiments on multiple computer systems with varied configurations that data classification with respect to sensitivity levels enhances the performance of the system. The experimental results show how and in what amount the designed security suite reduces overhead and increases security simultaneously.     

Forecasting technology diffusion: a new generalisation of the logistic model

The present research proposes a new generalisation of the logistic model aiming at technology diffusion forecasting. Regarding criticisms and failures reported in the literature to apply logistic function for long-term forecasting, in our work we focused on short-term accuracy of forecast. To formulate the model, based on mathematical approximation, at first the differential equation governing the diffusion process is found and then by solving the derived differential equation, the forecast function is obtained. In all steps, mathematical tools from numerical analysis are used. We compared the New Generalized Logistic Model with eight of the most renowned models in the literature. The model led to more accurate fits and forecasts than those obtained from other models we applied for comparison.     

Competitive strategies,innovation, and firm performance: an empirical study in a developing economy environment

This paper studies the relationships between competitive strategies, innovation, and firm performance within the context of Turkish manufacturing companies. The data were collected from top management of the firms via Computer Assistant Telephone Interviewing method. One hundred and forty manufacturing firms operating in various sectors including textile, automotive supply, computer and electronics provide the basis for this empirical research. In order to test our model, we employ structural equation modelling using partial least squares. The results show that competitive strategies such as cost-leadership and differentiation can lead to innovation, which, in turn, increase firm performance. Managers implement cost-leadership and differentiation strategies to take part in competitive market conditions; however, they should put additional importance on innovation that plays a significant role as a bridge between competitive strategies and firm performance.     

A Pyramid of Hate Perspective on Religious Bias,Discrimination and Violence

Journal of Business Ethics - This study provides a ‘pyramid of hate’ perspective on issues and challenges facing minority religious communities in social and political climates that...     

Consideration of technological and environmental heterogeneity in cost efficiency analysis

In order to evaluate and compare the efficiency levels across banking industries, we adopt the meta-frontier model that can assess the technological difference among countries. Given the importance of country specific conditions, we include in our analysis the different specificities of each country to incorporate the technological as the environmental differences in the evaluation of banking efficiencies. Using data on the banking industries of several countries in the MENA region, over the period 1991–2011, the results of the efficiency scores corrected by the technological and environmental gap led us to conclude that Egyptian banks are the most efficient in terms of cost compared with banks in other countries. Egyptian banks enjoy a very favourable banking technology. Our results support the hypothesis that traditional techniques of efficiency analysis based on the efficiency scores of a specific and pooled frontier tend to mystify efficiency levels and may incorrectly identify efficient banks. This paper contributes to the efficiency literature by incorporating technological and environmental heterogeneities in the evaluation of efficiency. This helps to characterize the production process of a bank and provides common standards by which the efficiencies of banks in different countries can be compared in a meaningful way with each other.     

Migration and employment interactions in a crisis context

This article analyses how a crisis impacts labour markets in origin countries through migration channels. For this purpose, we develop a novel dynamic general equilibrium model with a focus on the interlinkages between migration, the labour market and education. The main innovation of the paper is the retrospective modelling in general equilibrium of the impact of an economic crisis to isolate the impact of migration on local unemployment. The impact of the crisis on education decision is captured through endogenous returns to education. The simultaneity of the crisis in Tunisia and its partners worsened the labour market situation mainly through the increase in labour supply. The main result of this study is that migration is indeed one of the main determinants of the unemployment increase and that remittances have a higher impact than the variation of emigration flows. The low skilled bear the highest costs in terms of unemployment and wage decline.