sangeeuw/factorAnalytics: Factor Analytics

Linear factor model fitting for asset returns (three major types- time series, fundamental and statistical factor models); related risk (volatility, VaR and ES) and performance attribution (factor-contributed vs idiosyncratic returns); tabular displays of risk and performance reports; factor model Monte Carlo, single and multiple imputation methods for simulating returns and backfilling unequal histories.

Getting started

Package details

AuthorEric Zivot, Doug Martin, Sangeetha Srinivasan, Yi-An Chen, Lingjie Yi, Avinash Acharya and Chindhanai Uthaisaad
MaintainerSangeetha Srinivasan <sangee@uw.edu>
LicenseGPL-2
Version2.1.04
URL http://r-forge.r-project.org/projects/returnanalytics/
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("sangeeuw/factorAnalytics")
sangeeuw/factorAnalytics documentation built on May 28, 2019, 3:40 p.m.