tawny: Provides various portfolio optimization strategies including random matrix theory and shrinkage estimators

Portfolio optimization typically requires an estimate of a covariance matrix of asset returns. There are many approaches for constructing such a covariance matrix, some using the sample covariance matrix as a starting point. This package provides implementations for two such methods: random matrix theory and shrinkage estimation. Each method attempts to clean or remove noise related to the sampling process from the sample covariance matrix.

Version: 1.1.0
Depends: R (≥ 2.8.0), futile, zoo, xts, quantmod
Suggests: PerformanceAnalytics
Published: 2009-06-22
Author: Brian Lee Yung Rowe
Maintainer: Brian Lee Yung Rowe <r at nurometic.com>
License: GPL-2
In views: Finance
CRAN checks: tawny results

Downloads:

Package source: tawny_1.1.0.tar.gz
MacOS X binary: tawny_1.1.0.tgz
Windows binary: tawny_1.1.0.zip
Reference manual: tawny.pdf
Old sources: tawny archive