Before revision:  The process of estimating MLA turns out to be beneficial for detecting multimodality, evaluating the soundness of risk allocations , and constructing more flexible risk allocations based on multiple risky scenarios . Properties of the conditional distribution and MLA are demonstrated in numerical experiments.
After revision:  Under multimodality, a single vector of allocations can be less sound. To overcome this issue, we investigate the so-called multimodalty adjustment to increase the soundness of risk allocations , and constructing more flexible risk allocations based on multiple risky scenarios . Properties of the conditional distribution and MLA are demonstrated in numerical experiments.