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black.litterman

Black Litterman Estimates


Description

Compute the Black Litterman estimate of moments for the posterior normal.

Usage

black.litterman(R, P, Mu = NULL, Sigma = NULL, Views = NULL)

Arguments

R

returns

P

a K x N pick matrix

Mu

vector of length N of the prior expected values. The sample mean is used if Mu=NULL.

Sigma

an N x N matrix of the prior covariance matrix. The sample covariance is used if Sigma=NULL.

Views

a vector of length K of the views

Value

  • BLMu: posterior expected values

  • BLSigma: posterior covariance matrix

Note

This function is largely based on the work of Xavier Valls to port the matlab code of Attilio Meucci to R as documented in the Meucci package.

Author(s)

Ross Bennett, Xavier Valls

References

A. Meucci - "Exercises in Advanced Risk and Portfolio Management" http://symmys.com/node/170.

See Also


PortfolioAnalytics

Portfolio Analysis, Including Numerical Methods for Optimization of Portfolios

v1.1.0
GPL-2 | GPL-3
Authors
Brian G. Peterson [cre, aut, cph], Peter Carl [aut, cph], Kris Boudt [ctb, cph], Ross Bennett [ctb, cph], Hezky Varon [ctb], Guy Yollin [ctb], R. Douglas Martin [ctb]
Initial release
2018-05-17

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