Guided lab · synthetic data

How much should one view move the market prior?

Change the view-error variance, then step through prior → view → posterior → allocation. The lab keeps every other input fixed so you can see what confidence alone changes.

Black-Litterman four-stage flowFour nodes reveal the equilibrium prior, uncertain relative view, posterior mean and final weights as the learner advances. 1 · PriorA 4.000%B 1.000%π = δΣwₘₖₜ 2 · ViewA − B = 4%Ω = 0.0025uncertain evidence 3 · PosteriorA 4.727%B 0.818%blend, then audit 4 · WeightsA 59.09% · B 40.91% Stage 1 of 4 · Start from market-implied equilibrium returns.