3 research outputs found
Multivariate Circulant Singular Spectrum Analysis
Multivariate Circulant Singular Spectrum Analysis (M-CiSSA) is a
non-parametric automated technique that allows to extract signals of time
series at any frequency specified beforehand. It is useful to uncover
co-movements at different frequencies and understand their commonalities and
specificities. We apply M-CiSSA to understand the main drivers and co-movements
of energy commodity prices at trend and cyclical frequencies that are key to
assess energy policy at different time horizons. We clearly distinguish the
detached behaviour of US natural gas from the rest of energy commodities at
both frequencies while coals and Japan natural gas only decouple at the
cyclical frequency.Comment: 27 pages, 4 figures, 4 table