stochvol

Darjus Hosszejni*, Gregor Kastner

*Corresponding author for this work

Publication: Non-textual formSoftware

Abstract

Efficient algorithms for fully Bayesian estimation of stochastic volatility (SV) models with and without asymmetry (leverage) via Markov chain Monte Carlo (MCMC) methods. Methodological details are given in Kastner and Frühwirth-Schnatter (2014) <doi:10.1016/j.csda.2013.01.002> and Hosszejni and Kastner (2019) <doi:10.1007/978-3-030-30611-3_8>; the most common use cases are described in Kastner (2016) <doi:10.18637/jss.v069.i05> and the package vignette.
Original languageEnglish
Place of PublicationComprehensive R Archive Network (CRAN)
PublisherThe R Foundation
Media of outputOnline
Publication statusPublished - 12 Jul 2021

Austrian Classification of Fields of Science and Technology (ÖFOS)

  • 102022 Software development
  • 101018 Statistics
  • 502025 Econometrics
  • 101026 Time series analysis

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