TY - JOUR
T1 - Assessing linkages between alternative energy markets and cryptocurrencies
AU - Naeem, Muhammad Abubakr
AU - Gul, Raazia
AU - Farid, Saqib
AU - Karim, Sitara
AU - Lucey, Brian M.
N1 - Publisher Copyright:
© 2023
PY - 2023/7
Y1 - 2023/7
N2 - Surmounted environmental concerns and energy challenges have created an augmented awareness among the public and policymakers about alternate energy resources. Using a network approach, this paper aims to investigate the dependence between cryptocurrencies and the alternative energy market using data from January 1, 2018, to December 23, 2021. For this investigation, first, we build a static dependency network for a given set of variables using partial correlations. Then, we demonstrate within-system connections in a minimum spanning tree (MST) to assess the centrality of all variables. Finally, rolling-window estimations are made to exhibit time variations in both dependency and centrality networks. We find that clean alternative markets (SPGCE, ELEVHC & WILCE) and ETH are net risk transmitters to other markets and system-wide net contributors. We also demonstrate how SPGCE is essential for tying together the various parts of the networks and provide convincing evidence of time-varying within-system dependency. Our thorough examination of the dependency analysis offers significant insights to macroprudential regulators, policymakers, and portfolio managers, enabling them to safeguard the most vulnerable markets and choose the best legislative and policy measures to protect investors' interests in the face of unforeseen financial and economic conditions.
AB - Surmounted environmental concerns and energy challenges have created an augmented awareness among the public and policymakers about alternate energy resources. Using a network approach, this paper aims to investigate the dependence between cryptocurrencies and the alternative energy market using data from January 1, 2018, to December 23, 2021. For this investigation, first, we build a static dependency network for a given set of variables using partial correlations. Then, we demonstrate within-system connections in a minimum spanning tree (MST) to assess the centrality of all variables. Finally, rolling-window estimations are made to exhibit time variations in both dependency and centrality networks. We find that clean alternative markets (SPGCE, ELEVHC & WILCE) and ETH are net risk transmitters to other markets and system-wide net contributors. We also demonstrate how SPGCE is essential for tying together the various parts of the networks and provide convincing evidence of time-varying within-system dependency. Our thorough examination of the dependency analysis offers significant insights to macroprudential regulators, policymakers, and portfolio managers, enabling them to safeguard the most vulnerable markets and choose the best legislative and policy measures to protect investors' interests in the face of unforeseen financial and economic conditions.
UR - http://www.scopus.com/inward/record.url?scp=85160256287&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85160256287&partnerID=8YFLogxK
U2 - 10.1016/j.jebo.2023.04.035
DO - 10.1016/j.jebo.2023.04.035
M3 - Article
AN - SCOPUS:85160256287
SN - 0167-2681
VL - 211
SP - 513
EP - 529
JO - Journal of Economic Behavior and Organization
JF - Journal of Economic Behavior and Organization
ER -