methodology
Posterior Sampling
A Bayesian technique that draws many possible return scenarios from a posterior distribution, used in Black-Litterman and probability tabs.
Instead of relying on a single point estimate, posterior sampling generates a cloud of plausible futures, which can then be summarized into probabilities, distributions, or scenario sets.
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