arorar/FactorAnalytics: Factor Analytics

An R package for the estimation and risk analysis of linear factor models for asset returns and portfolios. It contains model fitting methods for the three major types of factor models: time series (or, macroeconomic) factor model, fundamental factor model and statistical factor model. They allow for different types of distributions to be specified for modeling the fat-tailed behavior of financial returns, including Edgeworth expansions. Risk analysis measures such as VaR and ES, as well as performance attribution for factor models (factor-contributed vs idiosyncratic returns) are included.

Getting started

Package details

AuthorEric Zivot, Sangeetha Srinivasan and Yi-An Chen
MaintainerSangeetha Srinivasan <[email protected]>
LicenseGPL-2
Version2.0.20
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("arorar/FactorAnalytics")
arorar/FactorAnalytics documentation built on May 10, 2019, 1:47 p.m.