This papfer deals with distributional free inference to test for positive quadrant dependence, i.e. for the probability that two variables are simultaneously small (or large) being at least as great as it would be were they dependent.

Generalized additive models for location, scale and shape define a flexible, semi-parametric class of regression models for analyzing insurance data in which the exponential family assumption for the response is relaxed. This approach allows the actuary to include risk factors not only in the...

In this paper, we extend the concept of mutual exclusivity proposed by Dhaene and Denuit (1999) to its tail counterpart and baptise this new dependency structure as tail mutual exclusivity. Probability levels are first specified for each component of the random vector. Under this dependency...

Many papers in the litterature have adopted the expected utility paradigm to analyze insurancedecisions. Insurance companies manage policies by growing, by adding independent risks.Even if adding risks generally ultimately decreases the probability of insolvency, the impacton the insurer's...

In this paper, we consider a décision-maker facing a financial risk flanked by a backgroundrisk, possibly non-financial, such as health or environmental risk. A decision has to be madeabout the amount of an investment (in the financial dimension) resulting in a future benefiteither in the same...