mfGARCH: Mixed-Frequency GARCH Models
Version 0.1.7

Estimating GARCH-MIDAS (MIxed-DAta-Sampling) models (Engle, Ghysels, Sohn, 2013, ) and related statistical inference, accompanying the paper "Two are better than one: volatility forecasting using multiplicative component GARCH models" by Conrad and Kleen (2018, ). The GARCH-MIDAS model decomposes the conditional variance of (daily) stock returns into a short- and long-term component, where the latter may depend on an exogenous covariate sampled at a lower frequency.

Getting started

Package details

AuthorOnno Kleen [aut, cre]
Date of publication2018-08-06 13:40:02 UTC
MaintainerOnno Kleen <[email protected]>
LicenseMIT + file LICENSE
Version0.1.7
URL https://github.com/onnokleen/mfGARCH/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("mfGARCH")

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mfGARCH documentation built on Aug. 10, 2018, 1:24 a.m.