The governance,risk-taking,and performance of Islamic banks

We examine whether the difference in governance structures influences the risk taking and performance of Islamic banks compared to conventional banks. Using a sample of 52 Islamic banks and 104 conventional banks in 14 countries for the period from 2005 to 2013, we conclude that the governance structure in Islamic banks plays a crucial role in risk taking as well as financial performance that is distinct from conventional banks. Particularly, we show that the governance structure in Islamic banks allows them to take higher risks and achieve better performance because of product complexities and transaction mechanisms. However, Islamic banks maintain a higher capitalization compared to conventional banks. These results support the research on Islamic investment and risk taking. Our results add a new dimension to the governance research that could be a valuable source of knowledge for policy makers and regulators in the financial services sector.     

Has co-movement dynamics in emerging stock markets changed after global financial crisis? New evidence from wavelet analysis

In this article, we revisit the issue of contagion, interdependence and changes in correlation structure after the Global Financial Crisis (GFC) of 2008 between developed and emerging markets in a time-frequency domain using a wavelet-based approach for the period spanning over 1 January 1999 to 8 November 2016. We report evidences of: (a) weaker contagion for Latin American emerging markets during GFC, (b) a strong contagion effect for emerging markets in Europe and the Middle East and (c) a fall in long-run co-movements after GFC, which means by investing in emerging markets, the diversification benefits can be derived in the long run. We report evidence of coexistence of contagion and permanent change in correlation structure.     

Job market signaling and employer learning

We consider a signaling model where the sender?s continuation value after signaling depends on his type, for instance because the receiver is able to update his posterior belief. As a leading example, we introduce Bayesian learning in a variety of environments ranging from simple two-period to continuous-time models with stochastic production. Signaling equilibria present two major departures from those obtained in models without learning. First, new mixed-strategy equilibria involving multiple pooling are possible. Second, pooling equilibria can survive the Intuitive Criterion when learning is efficient enough.     

k‐Nearest neighbors local linear regression for functional and missing data at random

We combine the k‐Nearest Neighbors (kNN) method to the local linear estimation (LLE) approach to construct a new estimator (LLE‐kNN) of the regression operator when the regressor is of functional type and the response variable is a scalar but observed with some missing at random (MAR) observations. The resulting estimator inherits many of the advantages of both approaches (kNN and LLE methods). This is confirmed by the established asymptotic results, in terms of the pointwise and uniform almost complete consistencies, and the precise convergence rates. In addition, a numerical study (i) on simulated data, then (ii) on a real dataset concerning the sugar quality using fluorescence data, were conducted. This practical study clearly shows the feasibility and the superiority of the LLE‐kNN estimator compared to competitive estimators.     

Stressors,Coping Mechanisms,Perceived Supervisory Support,and Well-Being Among Nurses During Accreditation Surveys: a Study from UAE

Employee Responsibilities and Rights Journal - Organizational psychology applies psychological theories to improve the physical and mental well-being of employees, increase productivity, and...     

Understanding volunteer motivation for participation in a community‐based food cooperative

Those concerned with social exclusion have increasingly recognised the value of community‐level activities as a basis for the development of disadvantaged communities. Much community development activity is collective and depends on members of the community volunteering to take on tasks and responsibilities associated with the collective action. The long‐term success of these activities is contingent on recruitment of sufficient numbers of volunteers and maintaining their commitment. The purpose of this research was to gain insights into volunteers' motives for participating in a community retail initiative, with a view to understanding the dynamics of their relationship with the enterprise as time passes. A series of in‐depth interviews provided evidence that motivations and factors influencing involvement change over time. Relatively vague ideas of the potential benefits of volunteering that motivated initial involvement were clarified as volunteers gained experience of participating in the enterprise. There was overt recognition of skill development and growth in self‐esteem and confidence that had been gained during the first few months of working on the project and there was anticipation that these would be enhanced through ongoing involvement. The implications of these findings are discussed and some future research directions are proposed. Copyright © 2003 Henry Stewart Publications     

The evolutionary stability of perfectly competitive behavior

Summary. In a (generalized) symmetric aggregative game, payoffs depend only on individual strategy and an aggregate of all strategies. Players behaving as if they were negligible would optimize taking the aggregate as given. We provide evolutionary and dynamic foundations for such behavior when the game satisfies supermodularity conditions. The results obtained are also useful to characterize evolutionarily stable strategies in a finite population.Received: 29 December 2002, Revised: 27 January 2004, JEL Classification Numbers: C72, D41, D43.An earlier version of this paper was titled The Evolutionary Logic of Feeling Small and was written while the first author was affiliated with the University of Salamanca (Spain). We are indebted to Ken Binmore, Larry Blume, Luis Corchón, Georg Kirchsteiger, Paco Marhuenda, Akihiko Matsui, Diego Moreno, Manfred Nermuth, Klaus Ritzberger, Jörgen Weibull, an anonymous referee, and seminar participants at the universities of Vienna, Carlos III de Madrid, and Salamanca for many helpful comments and suggestions. Obviously, only the authors are responsible for any errors and omissions. We gratefully acknowledge financial support from the Austrian Science Fund (FWF) under Project P15281 as well as from the Austrian Exchange Service (ÖAD) and the Spanish Ministry of Education and Culture under the Spain-Austria Acciones Integradas respective projects HU02-4 and 18/2003.