Stochastic Orderings of Convex-Type for Discrete Bivariate Risks

New classes of order relations for discrete bivariate random vectors are introduced that essentially compare the expectations of real functions of convex-type of the random vectors. For the actuarial context, attention is focused on the so-called increasing convex orderings between discrete bivariate risks. First, various characterizations and properties of these orderings are derived. Then, they are used for comparing two similar portfolios with dependent risks and for constructing bounds on several multilife insurance premiums.     

Stochastic comparisons of order statistics from heterogeneous random variables with Archimedean copula

This article is devoted to characterize several ordering properties of the maximum order statistic of heterogenous random variables with an Archimedean copula. Some examples are also included to illustrate the obtained results.     

The Prospect of Infrastructure Public‐Private Partnerships in Kuwait,Saudi Arabia,and Qatar: Transforming Challenges into Opportunities

This article examines the prospect of using infrastructure public‐private partnerships (PPPs) within Kuwait, Saudi Arabia, and Qatar in light of the drastic drop in oil prices since mid‐2014. It argues that, while PPPs appear to be a strategic policy option for the three Gulf Cooperation Council (GCC) states to tackle growing fiscal deficits, these states are constrained by numerous governance‐related, administrative, and regulatory challenges that make PPPs problematic. Effective implementation of the inherently complex and contractual PPP policy requires addressing the existing institutional, economic, bureaucratic, and cultural constraints within these three states. This article concludes with recommendations to mitigate these challenges, that require serious political will and sufficient time to yield positive results, and to attract international investors and contractors to the Gulf region. © 2016 Wiley Periodicals, Inc.