facmodTS: Time Series Factor Models for Asset Returns

Supports teaching methods of estimating and testing time series factor models for use in robust portfolio construction and analysis. Unique in providing not only classical least squares, but also modern robust model fitting methods which are not much influenced by outliers. Includes returns and risk decompositions, with user choice of standard deviation, value-at-risk, and expected shortfall risk measures. "Robust Statistics Theory and Methods (with R)", R. A. Maronna, R. D. Martin, V. J. Yohai, M. Salibian-Barrera (2019) <doi:10.1002/9781119214656>.

Version: 1.0
Depends: R (≥ 3.5)
Imports: boot, data.table, lars, lattice, leaps, PerformanceAnalytics, PortfolioAnalytics, R.cache, corpcor, methods, quadprog, RobStatTM, robustbase, sandwich, sn, xts, zoo
Suggests: corrplot, HH, lmtest, R.rsp, rugarch, strucchange, tinytest
Published: 2023-11-09
Author: Doug Martin [cre, aut], Eric Zivot [aut], Sangeetha Srinivasan [aut], Avinash Acharya [ctb], Yi-An Chen [ctb], Kirk Li [ctb], Lingjie Yi [ctb], Justin Shea [ctb], Mido Shammaa [ctb], Jon Spinney [ctb]
Maintainer: Doug Martin <martinrd3d at gmail.com>
License: GPL-2
URL: https://github.com/robustport/facmodTS
NeedsCompilation: no
Materials: README
CRAN checks: facmodTS results


Reference manual: facmodTS.pdf


Package source: facmodTS_1.0.tar.gz
Windows binaries: r-devel: facmodTS_1.0.zip, r-release: facmodTS_1.0.zip, r-oldrel: facmodTS_1.0.zip
macOS binaries: r-release (arm64): facmodTS_1.0.tgz, r-oldrel (arm64): facmodTS_1.0.tgz, r-release (x86_64): facmodTS_1.0.tgz, r-oldrel (x86_64): not available


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