This function performs the "core" calculation of the Black-Litterman model.
posteriorEst(views, mu, tau = 0.5, sigma, kappa = 0)
An object of class BLViews
A vector of mean equilibrium returns
The "tau" parameter in the Black-Litterman model.
The variance-covariance matrix of the returns of the assets
if greater than 0, the confidences in each view are replaced. See the online help for details
An object of class BLResult holding the updated Black-Litterman posterior