This section lists some freely available implementations of the Black-Litterman model in various languages.
MATLAB code to reproduce several of the Black-Litterman model exhibits in the paper "Deconstructing the Black-Litterman Model" (tables 1, 2 and 4) is available in files michaud.m and meuccibl.m. The fidelity is not 100% because data in the paper is shown with only 2 digits of precision. There is also a mistake in the paper in table 2 (BL* Optimal Return and Risk) which is corrected in this code.
Implementation of the Black-Litterman model with Excel - VBA (by graduate engineering students from ECE Paris: Jean-Baptiste Bassani, Alexandre Bontemps, Timothée de Chateauvieux, Igor Clercq, Matthieu Degraeve) ready to use on any Yahoo Finance shares. This is an Excel file providing an intuitive user interface to manage views, outputs and other features (refresh share's prices, currency selection $ or €). Contact: email@example.com
hlbl.m and hlblacklitterman.m contain a MATLAB implementation along with the test data from the He and Litterman, 1999. It has been modified to include calculations of He and Litterman's Lambda and Theil's Theta which measures the share of the posterior contributed by the prior and the views.
altblacklitterman.m contains a MATLAB implementation of the Alternative Reference Model which can be used with hlbl.m.
bl_metrics.sci contains a SciLab implementation of the Black-Litterman model with sample data from He and Litterman, 1999. It illustrates the various metrics from my paper, including Fusai and Meucci's Consistency Measure, and Braga and Natale's TEV work.
bl_idzorek.sci contains a SciLab implementation of the example from Idzorek (2005) illustrating his method of specifying and using the investors confidence in the view.
akutan.org has a all the Java implementations of the Black-Litterman model described in my paper along with many of the extensions. It also has the code for the Black-Litterman applet available on this site.
ojalgo.org has another implementation of the Black-Litterman model from the Idzorek paper.
Attilio Meucci has several more papers and some MATLAB code for implementing his ideas on his website.
The BLCOP package in the R project is an implementation of the Black-Litterman and copula opinion pooling frameworks from the papers by Attilio Meucci.