Global financial planning requires representative scenarios drawn from stochastic forecasting systems such as Russell's vector autoregressive model, Wilkie's cascade approach, Towers Perrin's global CAP:Link, and the catastrophic event simulations for earthquakes and hurricanes. We discuss the role of a dynamic forecasting system in the context of asset and liability management. We also describe a quasi-random sampling procedure for maximizing the precision of recommendations derived from a dynamic decision strategy. Empirical results, for a large offshore reinsurance company over a 5 year planning horizon, show the benefits of careful scenario selection.
All Science Journal Classification (ASJC) codes
- Business and International Management