Dynamic linkages among carbon, energy and financial markets: a smooth transition approach
Nicolas Koch
Applied Economics, 2014, vol. 46, issue 7, 715-729
Abstract:
This article explores how price linkages between carbon allowances and market fundamentals in the EU Emissions Trading Scheme (EU ETS) vary over time. I adopt a multivariate GARCH model that allows the conditional correlation between carbon, energy and financial prices to change smoothly across regimes governed by functions of two transition variables that explain why price linkages vary. I use (i) time as transition variable to allow for structural changes associated with institutional advances in the EU ETS and (ii) implied volatility to account for heterogeneity in the behaviour of correlations in times of distress compared to calm periods. The results point to a new pricing regime with much closer carbon-energy price linkages in the second phase of the EU ETS. Furthermore, I find that correlations depend on market uncertainty conditions, which exposes the link between carbon and financial markets due to common macroeconomic shocks during the current financial crisis.
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (36)
Downloads: (external link)
http://hdl.handle.net/10.1080/00036846.2013.854301 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:applec:v:46:y:2014:i:7:p:715-729
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEC20
DOI: 10.1080/00036846.2013.854301
Access Statistics for this article
Applied Economics is currently edited by Anita Phillips
More articles in Applied Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().