It is natural to connect reinsurance problems with risk measures since a reinsurance contract is an efficient risk … management tool for an insurer and the reinsurance premium can also be viewed as a measure of a reinsurer's risk. In this paper …, we assume that the insurer uses a law-invariant convex risk measure, while reinsurers use a Wang's premium principle to …

We study risk sharing games with quantile-based risk measures and heterogeneous beliefs, motivated by the use of … equivalent to equilibrium allocations, and the equilibrium price is unique. For Value-at-Risk (VaR) agents or mixed VaR and ES … agents, a competitive equilibrium does not exist. Our results generalize existing ones on risk sharing games with risk …

. The primary insurer’s point of view is documented in terms of assessment of risk and payment of reinsurance premium. A … reinsurance. Assuming the classical compound Poisson risk model with choices of claim size distributions (classified as heavy … LCR reinsurance than for EOL while still maintaining company value. Both methods reduce risk considerably as compared with …

stochastic ordering so that the valuation risk–loading, and thus risk premiums, generated by the measure distortion is an ordered …. The distribution function accounts for model risk in relation to the empirical distribution of the risk process, while the … quantile function models the response to the risk source as perceived by, e.g., a market agent. This gives rise to a sys- tem …

traders face this sort of joint inference problem, the risk of selecting the wrong features can spill over and distort how … even if traders themselves are fully rational. Moreover, I show how modeling feature-selection risk leads to additional … predictions that are outside the scope of noise-trader risk. For instance, to discover pricing errors as quickly as possible, a …