The thesis explores a method for allocating funds to different types of assets to improve portfolio performance, especially during financial crises. By using a combination of conditional value at risk and copulas, the researchers found that their model-based approach outperformed traditional methods during turbulent market conditions. This means that their strategy can help investors better navigate challenging economic times and potentially increase their returns.