# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "geovol" in publications use:' type: software license: GPL-2.0-or-later title: 'geovol: Geopolitical Volatility (GEOVOL) Modelling' version: '1.1' doi: 10.32614/CRAN.package.geovol abstract: Simulation, estimation and testing for geopolitical volatility (GEOVOL) based on the global common volatility model of Engle and Campos-Martins (2023) . GEOVOL is modelled as a latent multiplicative volatility factor with heterogeneous factor loadings. Estimation is carried out as a maximization-maximization procedure, where GEOVOL and the GEOVOL loadings are estimated iteratively until convergence. authors: - family-names: Campos-Martins given-names: Susana email: scmartins@ucp.pt repository: https://scmartins.r-universe.dev commit: a335b71339d51c22dffbced6c4f2e1f4ecee37f7 url: https://sites.google.com/site/susanacamposmartins/ date-released: '2025-05-06' contact: - family-names: Campos-Martins given-names: Susana email: scmartins@ucp.pt