specifically, in reinsurance problems. In this area, the complexity of the models and assumptions considered in the definition of … the reinsurance rules and conditions produces hard black-box optimization problems (problems in which the objective … solved in order to obtain the optimal output of the reinsurance. The application of traditional optimization approaches is …

. However, from a network perspective, we derive a unique fair solution in the sense of cooperative game theory. Implications …

Stop-loss reinsurance is a risk management tool that allows an insurance company to transfer part of their risk to a … reinsurance company. Ruin probabilities allow us to measure the effect of stop-loss reinsurance on the solvency of the primary … probability when no reinsurance is bought. We develop a finite-difference method for solving the (partial integro …