Dynamic volatility connectedness in the European electricity market
Magdalena Sikorska-Pastuszka and
Monika Papież
Energy Economics, 2023, vol. 127, issue PA
Abstract:
Since the 1990s, one of the energy policy objectives of the European Union (EU) has been to create a single, integrated European electricity market. This study uses a broad set of European electricity markets to answer the question whether volatility connectedness is higher in geographically closer markets or whether all markets are integrated. This question is particularly relevant now, at a time of high volatility of energy commodity prices, which can affect energy security in Europe. Our empirical analysis examines volatility connectedness in 26 European electricity markets between 1 August 2007 and 23 February 2022 using the time-varying parameter vector autoregressive model (TVP-VAR) based on the extended joint connectedness method (Balcilar et al., 2021). Furthermore, the impact of volatility of determinants of electricity prices on volatility connectedness in European electricity markets since 2016 is assessed.
Keywords: European electricity market; Market integration; Volatility connectedness; Spillovers; Energy policy (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0140988323005431
Full text for ScienceDirect subscribers only
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:eee:eneeco:v:127:y:2023:i:pa:s0140988323005431
DOI: 10.1016/j.eneco.2023.107045
Access Statistics for this article
Energy Economics is currently edited by R. S. J. Tol, Beng Ang, Lance Bachmeier, Perry Sadorsky, Ugur Soytas and J. P. Weyant
More articles in Energy Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().