Computational environments and instruments for finance and insurance

The aim of the work is to study the peculiar characteristics of the computational environments able to treat the typical financial and insurance problems with an high and complex level of calculus. The paper will already show some instruments that can be developed in such kind of environments with the aim of facilitating the problem modelling and the consequent programming activity. The core element of this approach will be the definition of the data nested arrays and the operational objective of the work will be to show how, in the considered environments, it is possible to define functions and operators that enable to manage this kind of data structures and how the related symbolism can be used to analytically define the algorithms and their porting in the computational environment. In order to evaluate the goodness of the proposed synthetic approach, the work will be completed with some applications to finance and insurance issues, such as the choice between uncertain investments, the technical reserves coverage degree and the evaluation of the longevity risk. The development environment will be APL2, J or Matlab.