Fintech and climate change: Evidence from cross-quantile causality, directional predictability and dynamic connectedness

Dongna Zhang, Xihui Chen, Chi Keung Marco Lau, Bing Xu

Research output: Contribution to conferencePaperpeer-review

Abstract

This paper explores the association between bitcoin market energy consumption and global CO2 emission to provide a fresh insight on climate change implications. W e first examine the cross-quantile Granger-causal relationship in distribution with different parametric copula functions to uncover the dependence structure between CO2 emission and Bitcoin market conditions as well as energy demand. Next, we conduct directional predictability test under the cross-quantilogram framework to study whether there is a lead-lag relationship between Bitcoin network and the amount of CO2 emission. To the best of our knowledge, this is the first empirical work investigates cross-quantile causality and dependence as well as dynamic pairwise connectedness to analyse the implications of bitcoin currency market conditions, network mining activities and its associated electricity consumption on climate change.
Original languageEnglish
Publication statusAccepted/In press - 18 Oct 2021
EventInternational Congress of Energy, Economy and Security 2021 -
Duration: 13 Nov 202114 Nov 2021

Conference

ConferenceInternational Congress of Energy, Economy and Security 2021
Period13/11/2114/11/21

Fingerprint

Dive into the research topics of 'Fintech and climate change: Evidence from cross-quantile causality, directional predictability and dynamic connectedness'. Together they form a unique fingerprint.

Cite this