Dependence and risk spillovers among clean cryptocurrencies prices and media environmental attention

被引：16

作者：

Ndubuisi, Gideon ^{[1
]}

Urom, Christian ^{[2
]}

机构：

[1] Delft Univ Technol, Fac Technol Policy & Management TPM, Delft, Netherlands

[2] Paris Sch Business, Ctr Res Energy & Climate Change CRECC, Paris, France

来源：

RESEARCH IN INTERNATIONAL BUSINESS AND FINANCE | 2023年 / 65卷

关键词：

Clean cryptocurrency; Environmental sustainability; Cryptocurrency environmental attention; Risk spillovers; Wavelets coherence; Asymmetric connectedness; STOCK; UNCERTAINTY; COVERAGE; BITCOIN; IMPACT; ENERGY;

D O I：

10.1016/j.ribaf.2023.101953

中图分类号：

F8 [财政、金融];

学科分类号：

0202 ;

摘要：

This paper examines the relationships among cryptocurrency environmental attention and clean cryptocurrencies prices using Time-Varying Parameter Vector Auto-Regression (TVP-VAR) and wavelets techniques. Results show strong connectedness among these variables, implying that the prices of clean cryptocurrencies are influenced by attention on cryptocurrency sustainability. Connectedness is stronger with positive shocks on environmental attention than negative shocks. Also, in the short-term, clean cryptocurrencies prices lead environmental attention, especially after 2021. However, there are notable periods when environmental attention led clean cryptocurrency prices before 2021. In the long-term, clean cryptocurrencies such as Hedera, Polygon, Cosmos, IOTA, TRON, Stellar, Tezos and Ripple lead environmental attention. In the presence of bitcoin, the degrees of connectedness increased across both shocks on cryptocurrency environmental attention. In all cases, the bitcoin market is the main destination of shocks from the system. We highlight some crucial implications of these results.

引用

页数：18

共 41 条

[1] Does oil connect differently with prominent assets during war? Analysis of intra-day data during the Russia-Ukraine saga [J].

Adekoya, Oluwasegun B. ;

Oliyide, Johnson A. ;

Yaya, OlaOluwa S. ;

Al-Faryan, Mamdouh Abdulaziz Saleh .

RESOURCES POLICY, 2022, 77

[2] Refined Measures of Dynamic Connectedness based on Time-Varying Parameter Vector Autoregressions [J].

Antonakakis, Nikolaos ;

Chatziantoniou, Ioannis ;

Gabauer, David .

JOURNAL OF RISK AND FINANCIAL MANAGEMENT, 2020, 13 (04)

[3] Bitcoin investments and climate change: A financial and carbon intensity perspective [J].

Baur, Dirk G. ;

Oll, Josua .

FINANCE RESEARCH LETTERS, 2022, 47

[4] Exploring the relationship between cryptocurrencies and hedge funds during COVID-19 crisis [J].

Ben Khelifa, Soumaya ;

Guesmi, Khaled ;

Urom, Christian .

INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS, 2021, 76

[5] Does Bitcoin hedge global uncertainty? Evidence from wavelet-based quantile-in-quantile regressions [J].

Bouri, Elie ;

Gupta, Rangan ;

Tiwari, Aviral Kumar ;

Roubaud, David .

FINANCE RESEARCH LETTERS, 2017, 23 :87-95

[6] Money and output: New evidence based on wavelet coherence [J].

Caraiani, Petre .

ECONOMICS LETTERS, 2012, 116 (03) :547-550

[7] Dynamic Spillover Effect Between Oil Prices and Economic Policy Uncertainty in BRIC Countries: A Wavelet-Based Approach [J].

Chen, Xiuwen ;

Sun, Xiaolei ;

Wang, Jun .

EMERGING MARKETS FINANCE AND TRADE, 2019, 55 (12) :2703-2717

[8] Bitcoin's growing e-waste problem [J].

de Vries, Alex ;

Stoll, Christian .

RESOURCES CONSERVATION AND RECYCLING, 2021, 175

[9] Better to give than to receive: Predictive directional measurement of volatility spillovers [J].

Diebold, Francis X. ;

Yilmaz, Kamil .

INTERNATIONAL JOURNAL OF FORECASTING, 2012, 28 (01) :57-66

[10] Journalists and the Stock Market [J].

Dougal, Casey ;

Engelberg, Joseph ;

Garcia, Diego ;

Parsons, Christopher A. .

REVIEW OF FINANCIAL STUDIES, 2012, 25 (03) :639-679

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