This paper investigates price volatility and spillovers in the Nordic electricity wholesale markets. We use the
Time-Varying Parameter Vector Autoregressive (TVP-VAR), Rolling Window-based VAR (RW-VAR), and high
dimensional VAR with common factors (VAR-CF) methods and analyze the integration dynamics among these
markets and impact ...
This paper investigates price volatility and spillovers in the Nordic electricity wholesale markets. We use the
Time-Varying Parameter Vector Autoregressive (TVP-VAR), Rolling Window-based VAR (RW-VAR), and high
dimensional VAR with common factors (VAR-CF) methods and analyze the integration dynamics among these
markets and impact of carbon prices on volatility spillovers. We use 107,352 hourly price data from January
2010 to March 2022. The novelty of this research is four-fold. First, we adopt a connectedness approach to
explore volatility interactions among the four Nordic markets, contributing to the scarce literature on volatility in
this market. Second, we segment the Norwegian market into southern and northern regions, revealing differences
in volatility spillover patterns. Third, we investigate the effect of carbon prices on volatility spillovers and market
dynamics. Last, we show significant contribution of covariances to interdependence among markets. We find
significant connectedness between the Nordic markets, with an average Total Connectedness Index of between
50% (with a system of variance) and 90% (with a system of both variance and covariance). Sweden is the sole net
volatility spillover transmitter, while Denmark experiences the largest shocks from the system. We further find
that carbon prices exert a 5% significant impact on the volatility spillover index.