Evaluation of Islamic Banking Performance: On the Current Use of Econometric Models

This paper provides an appraisal of some of the researches conducted in recent years for evaluating the efficiency of Islamic banks. It is restricted to studies using parametric (SFA) and non-parametric (DEA) models. It finds that these models leave much to be desired and the conclusions they arrive at are of suspect validity for variety of reasons. On a more important side, the criteria-cost or profit-they invariably use for measuring efficiency albeit valid miss the essence of what Islamic banking aims to achieve. These banks must of course pay their way more than that they have to meet certain social objectives and priorities. They fulfillment of social responsibilities even at the expense of reduced profits has to be the main justification for their existence

Estimation of parametric and nonparametric models for univariate claim severity distributions - an approach using R

This paper presents an analysis of motor vehicle insurance claims relating to vehicle damage and to associated medical expenses. We use univariate severity distributions estimated with parametric and non-parametric methods. The methods are implemented using the statistical package R. Parametric analysis is limited to estimation of normal and lognormal distributions for each of the two claim types. The nonparametric analysis presented involves kernel density estimation. We illustrate the benefits of applying transformations to data prior to employing kernel based methods. We use a log-transformation and an optimal transformation amongst a class of transformations that produces symmetry in the data. The central aim of this paper is to provide educators with material that can be used in the classroom to teach statistical estimation methods, goodness of fit analysis and importantly statistical computing in the context of insurance and risk management. To this end, we have included in the Appendix of this paper all the R code that has been used in the analysis so that readers, both students and educators, can fully explore the techniques describe