Stochastic Solvency Capital Projections Framework

This white paper presents an analytical framework for conducting multi-year solvency projections for insurance companies, focusing on the incorporation of a stochastic modeling approach. The document contrasts traditional deterministic methods, which rely on a single scenario, with stochastic methods that explore a full distribution of potential future outcomes influenced by various market and economic risks. By adopting a probabilistic perspective, the paper aims to enhance understanding of uncertainty and the interplay between capital markets, liability valuations, and capital requirements. It outlines the benefits of stochastic modeling in analyzing risk-return trade-offs and supporting strategic decision-making based on quantified probabilities. The analysis includes deterministic Solvency II capital projections and evaluates alternative asset allocation strategies, providing insights into the implications of different investment approaches on solvency ratios and capital requirements. The paper emphasizes the importance of considering stochastic projections to capture the volatility and risks inherent in investment returns.