Least Squares Monte Carlo for fast and robust capital projections

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By Christian Bettels, Florian Ketterer, Michael Leitschkis | 05 February 2013
Reliable capital projections are critical for the effective management of insurance business. A robust framework for the projection of Solvency II coverage ratios under different scenarios provides insurers with a useful tool. This white paper discusses a Least Squares Monte Carlo proxy modeling solution, which is less numerically burdensome than a brute-force nested stochastic approach.