Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5076256 | Insurance: Mathematics and Economics | 2016 | 12 Pages |
Abstract
The calculation of Net Asset Values and Solvency Capital Requirements in a Solvency 2 context-and the derivation of sensitivity analyses with respect to the main financial and actuarial risk drivers-is a complex procedure at the level of a real company, where it is illusory to be able to rely on closed-form formulas. The most general approach to performing these computations is that of nested simulations. However, this method is also hardly realistic because of its huge computation resources demand. The least-squares Monte Carlo method has recently been suggested as a way to overcome these difficulties. The present paper confirms that using this method is indeed relevant for Solvency 2 computations at the level of a company.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Anthony Floryszczak, Olivier Le Courtois, Mohamed Majri,