Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5076455 | Insurance: Mathematics and Economics | 2016 | 11 Pages |
Abstract
As more regulatory reporting requirements for equity-linked insurance move towards dependence on stochastic approaches, insurance companies are experiencing increasing difficulty with detailed forecasting and more accurate risk assessment based on Monte Carlo simulations. While there is vast literature on pricing and valuations of various equity-linked insurance products, very few have focused on the challenges of financial reporting for regulatory requirement and internal risk management. Most insurers use either simulation-based spreadsheet calculations or employ third-party vendor software packages. We intend to use a basic variable annuity death benefit as a model example to decipher the common mathematical structure of US statutory financial reporting. We shall demonstrate that alternative deterministic algorithms such as partial differential equation (PDE) methods can also be used in financial reporting, and that a fully quantified model allows us to compare alternatives of risk metrics for financial reporting.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Runhuan Feng, Huaxiong Huang,