Connectedness network and dependence structure mechanism in green investments

A-Tier
Journal: Energy Economics
Year: 2018
Volume: 72
Issue: C
Pages: 145-153

Authors (4)

Lundgren, Amanda Ivarsson (not in RePEc) Milicevic, Adriana (not in RePEc) Uddin, Gazi Salah (Linköpings Universitet) Kang, Sang Hoon (not in RePEc)

Score contribution per author:

1.005 = (α=2.01 / 4 authors) × 2.0x A-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

We present an empirical study of renewable energy stock returns and their relation to four major investment asset classes—stocks, currency, US Treasury bonds, and oil—and several sources of uncertainty. Applying nonlinear causality and connectedness network analysis on data covering the period 2004–2016, we investigate the directionality and connectedness among different asset classes, as well as between uncertainties. First, from the results of the estimation of directionality and network spillovers, it can be concluded that the European stock market has a strong market dependence on renewable energy stock prices. Second, uncertainties have an economically significant impact on both return and volatility spillover in energy investments. Third, most of the uncertainties are net transmitters of volatility connectedness during the global financial crisis (GFC) and European sovereign debt crisis (ESDC).

Technical Details

RePEc Handle
repec:eee:eneeco:v:72:y:2018:i:c:p:145-153
Journal Field
Energy
Author Count
4
Added to Database
2026-01-29