Co-movement of energy commodities revisited: Evidence from wavelet coherence analysis

0367037 - ÚTIA 2012 RIV NL eng J - Journal Article
Vácha, Lukáš - Baruník, Jozef
Co-movement of energy commodities revisited: Evidence from wavelet coherence analysis.
Energy Economics. Roč. 34, č. 1 (2012), s. 241-247. ISSN 0140-9883. E-ISSN 1873-6181
R&D Projects: GA ČR GA402/09/0965; GA ČR GD402/09/H045; GA ČR GAP402/10/1610
Institutional research plan: CEZ:AV0Z10750506
Keywords : Correlation * Co-movement * Wavelet analysis * Wavelet coherence
Subject RIV: AH - Economics
Impact factor: 2.538, year: 2012

In this paper, we contribute to the literature on energy market co-movement by studying its dynamics in the time-frequency domain. The novelty of our approach lies in the application of wavelet tools to commodity market data. A major part of economic time series analysis is done in the time or frequency domain separate- ly. Wavelet analysis combines these two fundamental approaches allowing study of the time series in the time-frequency domain. Using this framework, we propose a new, model-free way of estimating time- varying correlations. In the empirical analysis, we connect our approach to the dynamic conditional correla- tion approach of Engle (2002) on the main components of the energy sector. Namely, we use crude oil, gas- oline, heating oil, and natural gas on a nearest-future basis over a period of approximately 16 and 1/2 years beginning on November 1, 1993 and ending on July 21, 2010.
Permanent Link: http://hdl.handle.net/11104/0201831