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Journal of Risk

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A primer on generalized weighted risk functionals

Nawaf Mohammed, Edward Furman and Jianxi Su

  • We introduce a class of generalized weighted risk functionals that extend traditional weighted risk measures by allowing arbitrary aggregation functions beyond simple summation.
  • The framework clarifies how weight functions, aggregation functions and distributional assumptions jointly determine the ordering of risk measures and allocations.
  • We establish sufficient conditions that guarantee comparative orders among generalized weighted risk functionals.
  • The study reveals that the interaction between aggregation and weight functions is highly complex, making exact computation of generalized weighted risk functionals essential in applications.

Weighted risk functionals have been extensively studied to date. Indeed, this versatile class of risk functionals has enjoyed a variety of applications in risk management and insurance, and it has been generalized along a number of directions. Some applications of the class of weighted risk functionals in risk management and insurance include pricing, valuation, risk measurement, risk capital allocation and risk sharing, while variations of weighted risk functionals have allowed for such enhancements as multivariate probability weighting and the augmentation of utility functions. We propose a class of generalized weighted risk functionals that incorporates the possibility of arbitrary aggregations. To this end, we introduce the notion of an aggregation function in the context of the aforementioned weighted risk functionals. We then delineate the ways in which distinct orders on the weight functions and on the aggregation functions affect the order of our generalized weighted risk functionals. We conclude with several observations that facilitate applications of the generalized weighted risk functionals.

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